Team Situation Awareness, Cohesion, and Autonomic Synchrony

OBJECTIVE

This study evaluated the causal relationships among situation awareness (SA), cohesion, and autonomic synchrony (SE) within teams. SA is often a team effort and should be more accurate in better-functioning teams.

BACKGROUND

Cohesive teams perform better overall, although the relationship appears reciprocal; the relationship to SA has not been considered previously. SE is a collective neurocognitive activity that has been connected to team coordination, communication, and performance in some circumstances.

METHOD

In this experiment, 71 undergraduates, organized into 16 teams, played two matches of a first-person shooter computer game and completed self-report measures of cohesion and SA. SE was determined through time series analysis of electrodermal responses using the driver-empath framework.

RESULTS

Empaths and those who came from more synchronized teams reported less cohesion in the team. Granger causality regression showed reciprocal relations among SA, SE, and cohesion that were both positive and negative after controlling for match difficulty.

CONCLUSION

The cohesion-SA relationship is similar to the reciprocal cohesion-performance relationship. SE plays an important and independent role in both the social and cognitive aspects of team behavior. It is possible, furthermore, that individuals who are more attuned to their co-workers reported a more accurate, and less obliging, social situation.

APPLICATION

Results are applicable to situations requiring teamwork in a dynamic environment.

Nonlinearity in Economics and Social Science: The Outstanding Contributions of John Barkley Rosser Jr

The pioneering work of John Barkley Rosser Jr. (1948-2023) in various subfields of economics emphasizes the fact that economic and social phenomena are inherently nonlinear and often discontinuous. From this standpoint, Barkley has contributed substantially to a paradigm shift in economic theory and modelling. Both his influential research work and his unceasing survey work on different approaches and schools of thought in economics and social science, carried out through the lens of complexity theory, have succeeded to develop a broader view on economic thinking and continue to inspire many researchers worldwide. The articles in this issue cover a number of research areas and themes that were central to Barkley's work, from technological progress to evolutionary competition between firms, from regional science to income inequality, from environmental economics to more general macroeconomic themes, such as bubbles and crashes, financial instabilities and policy issues.

Cusp Catastrophe Models for Cognitive Workload and Fatigue for Teams Making Dynamic Decisions

This study evaluated cusp models of workload and fatigue experienced by teams on a dynamic decision making task. Cognitive workload is the amount of information that a person is required to process in a given way in a fixed amount of time. Fatigue, which is captured by a work curve or a cubic polynomial function, is the loss of work capacity that is produced by an extended amount of time spent on a particular cognitive or physical task. In this experiment, 32 groups of three, four or five members (136 individuals) played two matches of a first-person shooter computer game, and completed subjective measures of workload and cognitive measures of elasticity versus rigidity. For the workload cusp models with elasticity-rigidity components, the bifurcation in performance levels occurred when teams expressed greater emotional intelligence, anxiety, levels of fluid intelligence, coping flexibility, cognitive flexibility, and were more decisive (R2=.54-.56, linear alternative, .09-.23). For workload cusp models assessing subjective ratings of workload, bifurcation occurred with groups who reported greater levels of performance demand and effort required (R2=.51, linear alternative, .20). For fatigue cusp models, bifurcation occurred for groups that played fewer rounds of the game before winning or losing the match, or came from the smaller-sized groups, which were supplemented by computer-generated agents (R2=.66-.67, linear alternative, .21-.68). Results supported the general-ization of the cusp models for workload and fatigue to situations requiring teamwork in dynamic decision making environments. The study also raised new questions about the role of autonomic synchrony in the workload or fatigue processes and similarity of the dynamics of human-autonomy teams compared to all-human teams.

Team Situation Awareness, Cohesion, and Autonomic Synchrony 2: Group-level Effects and their Combined Influence on Team Performance

Situation awareness (SA) is a mental state that is instrumental to performance of complex dynamic tasks. SA within teams is thought to be supported by favorable social conditions within the team. The present study was organized in two parts: (a) causal relationships among SA, group cohesion, and autonomic synchrony, the latter being a fundamentally nonlinear process, and (b) the combined impact of the three variables on performance in a dynamic decisions task. Experimental conditions assessed changes in task difficulty, group size, and method of obtaining SA measures. Participants were 136 undergraduates organized into 32 teams of three to five members engaged in two matches of a first-person shooter computer game. They completed self-report measures of cohesion and SA. Synchrony was determined through time series analysis of electrodermal responses using the driver-empath framework. ANOVA results showed that cohesion and SA improved over the two matches, and SA was better in smaller groups during the second match. Synchrony was stronger in larger groups. Granger regression indicated no causal or circular relationship between SA and cohesion. Synchrony had a small positive effect on cohesion during the first match. SA had a strong negative impact on synchrony early on and dissipated afterwards. The best performing teams during the first match were those that: were larger, were measured for SA without pausing the simulation, were less synchronized, showed more accurate SA, and reported stronger cohesion. The study opens new questions concerning the role of synchrony in volatile situations and the role of automated team members operating alongside humans.

Approach and Avoidance Coping Dynamics during the COVID-19 Pandemic

Approach-avoidance conflicts were one of the earliest applications of catastrophe theory. Empirical studies evaluating the cusp catastrophe model for approach-avoidance dynamics have only started to appear recently, however. The present study reviews the extant research and expands the concept to approach and avoidance coping styles. Research participants were 333 adults from the general population recruited through Amazon Mechanical Turk. They completed measures of psychological symptoms, quality of life (QOL), approach and avoidance coping styles, and COVID-related stress. Cusp models for symptoms (R2 = .84) and QOL (R2 = .89) illustrated approach and avoidance functioning as bifurcation gradients for both psychological symptoms and QOL. Both models provided more accurate representations of the data than the linear alternatives (R2 = .54 and .24 respectively), thus providing further support for the cusp dynamics. The cusp catastrophe model has extensive applicability to approach-avoidance behaviors. There was greater variability (hysteresis) in outcomes for people who used fewer coping strategies of either the approach or avoidance types.

The Relative Influence of Drivers and Empaths on Team Synchronization

To further the understanding of how to build or reduce synchrony in a work team, we examined two principles for defining the optimal condition to produce or limit synchrony: (a) the empath-driver ratio (relative strength of the stronger influencer compared to the receptive strength of any member in the group), and (b) the balance between autocorrelated autonomic arousal (degree to which members' signals are independent of other group members) and the degree of influence that transfers from each group member to other group members. In study 1, we employed a series of computational simulations designed to manipulate the four variables. The results indicated that there is a four-way balance between driver strength, empath strength, autocorrelational and transfer effects among team members. The relationship between the synchronization coefficient and the empath-driver ratio was moderated by whether the group adopted a network structure for group problem solving or command-and-control. In study 2 we analyzed autonomic arousal (electrodermal response) in four teams of five participants playing a first-person shooter computer game. The correlation between the synchronization coefficient and the empath-driver ratio was 0.280 (p < .001) based on 64 pairs of observations. The relationship was moderated by both the network structure and the statistical model that one adopted to analyze dyadic relationships within the group. The implications of these relationships for a growing theory of team synchrony are discussed.

A Comparison of Four Dyadic Synchronization Models

Synchronization is a special case of self-organization in which one can observe close mimicry in behavior of the system components. Synchrony in body movements, autonomic arousal, and EEG activity among human individuals has attracted considerable attention for their possible roles in social interaction. This article is specifically concerned with autonomic synchrony and finding the best model for the dyadic relationships, with regard to both theoretical and empirical accuracy, that could be extrapolated to synchrony levels for groups and teams of three or more people. The four models that are compared in this study have different theoretical origins: the two-variable linear regression function, a three-parameter nonlinear regression function, the logistic map function stated in polynomial form, and the logistic map function stated as an exponential regression structure. The data for this study were electrodermal responses collected from a team of four people engaged in an emergency response simulation that produced 12 dyadic time series. Results shows strong levels of fit between the data and all four models, although there were significant differences among them. Further research directions point toward finding conditions that favor one model over another and exploring other possible nonlinear structures.

Autonomic Synchronization, Leadership Emergence, and the Roles of Drivers and Empaths

Synchronization of autonomic arousal levels within dyads and larger teams has been associated with several types of social-behavioral outcome. One previous study reported greater physiological influence (brain activity in one area of the parietal lobe associated with verbal activity) of leaders on followers than of followers on leaders; influence was measured pairwise within triadic problem solving groups. The present study explored synchronized autonomic arousal with leadership outcomes in two experiments with group sizes of three to eight members. Drivers, who had the greatest physiological impact on other team members were consistently less like the leader of the group. Empaths, who were the most receptive to autonomic signals from others, were not consistently associated with leadership roles, although they did show sensitivity to team dynamics in their ratings of cognitive and social sources of workload. The tentative conclusion, subject to future research, is that successful leadership requires a balance between the driver and empath orientations.

Cognitive Workload and Fatigue Dynamics in a Chaotic Forecasting Task

Many real-world tasks require people to forecast chaotic events in order to take adaptive action. This ability is considered rare, and less understood than other cognitive processes. The present study examined how the performance dynamics in a chaotic forecasting task would be affected by stressors such as cognitive workload and fatigue using two cusp catastrophe models. Participants were 147 undergraduates who were shown graphs and brief chaotic number series for which they needed to forecast the next four values. Performance data were complemented by variables known to represent cognitive elasticity versus rigidity, compensatory abilities for fatigue, and NASA TLX ratings of subjective workload. R2 for the workload cusp was .56, which compared favorably to the next best linear alternative model (.12); it contained six bifurcation variables and three measures of workload (asymmetry). R2 for the fatigue cusp was .54, which also compared favorably to the next best linear alternative (.07); it contained one bifurcation variable and two compensatory abilities. The role of field independence as an elasticity variable in the workload model and as a compensatory ability in fatigue was particularly noteworthy. Several elasticity-rigidity variables have now been identified over a series of studies. They appear to be operating in unison to produce a bifurcation effect, and different variables become salient depending on the task. Future research should consider how the ability to forecast chaos and its susceptibility to workload and fatigue carry over to dynamical decisions made while managing a complex system. Key Words.

Autonomic Synchronization under Three Task Conditions and its Impact on Team Performance

Psychologists have had a long-standing interest in the connections between group processes and team performance. The biopsychosocial perspective has piqued an interest in the connection between team processes and performance and coordinated and synchronized physiological arousal levels among team members. Studies of synchronization in work teams have been stalled by the lack of a metric that captures the total synchronization within teams of three or more people. This study examined how synchronized physiological arousal does in fact connect to team performance and related group process outcomes by utilizing the SE coefficient developed by Guastello and Peressini. Forty-three groups of 3 to 8 participants (total N = 197) participated in a survival simulation. Synchroniza-tion coefficients were produced for three task segments: watching an orientation video together, an individual decision task, and a group decision task. Primary results showed: (a) Synchronization was greater in larger groups across the three task segments. (b) A combination of the three synchronization coefficients - higher during the team task and lower otherwise - was correlated with higher workload ratings for performance demands, greater team dissatisfaction, and lower demands for time-sharing between the individual and the team.

Cusp catastrophe models for cognitive workload and fatigue in teams

The use of two cusp catastrophe models has been effective for untangling the effects of cognitive workload, fatigue, and other complications on the performance of individuals. This study is the first to use the two models to separate workload and fatigue effects on team performance. In an experiment involving an emergency response simulation, 360 undergraduates were organized into 44 teams. Workload was varied by team size, number of opponents, and time pressure. The cusp models for workload and fatigue were more accurate for describing trends in team performance criteria compared to linear alternatives. Individual differences in elasticity-rigidity were less important than subjective workload and experimental conditions as control variables. Fluid intelligence within the team was an important compensatory ability in the fatigue model. Results further supported the nonlinear paradigm for the assessment of cognitive workload and fatigue and demonstrated its effectiveness for understanding team phenomena.

Physiological Synchronization and Subjective Workload in a Competitive Emergency Response Task

Human dyads and larger teams tend to acquire synchronized movements and autonomic arousal levels while working together or simply socializing. The synchronization of arousal patterns is of theoretical interest for group dynamics because they may add predictive value to the dynamics of group cohesion and team performance. This study examined the four-way relationship among experimental conditions: team size, task difficulty, time pressure (between-subjects) and subsequent experimental sessions (within-subjects). Previously, we have shown these conditions affect subjective ratings of workload that come from individual and group-level sources, synchronization of arousal, and team performance. In an experiment involving an emergency response (ER) simulation, 360 undergraduates, who were wearing electrodermal sensors, were organized into 44 teams of various sizes. Workload was experimentally varied by team size (three, four, seven or eight members), number of opponents (one or two), and time pressure; the latter was introduced sooner or later across two experimental sessions. Results showed that the experimental conditions affected synchronization levels, either at the beginning of a session or in the middle; synchronization and experimental conditions were not directly related to team performance. Subjective group workload ratings of the coordination demand of the task correlated with synchronization at the beginning of a session while team satisfaction was correlated with greater synchrony at the end of a session. The competitive nature of the ER task, as compared to strictly cooperative tasks, could be responsible for the complexity of these empirical relationships.

Time Granularity, Lag Length, and Down-Sampling Rates for Neurocognitive Data

Time series analysis, nonlinear or otherwise, requires an appropriate lag length between observations. The choice of lag length is contingent to some extent on whether the source data are under- or over-sampled. For neuro-cognitive data, the time granularity should represent psychologically meaningful units. Automatic methods for determining optimal lag length are not readily available, particularly for potentially oversampled data and if the eventual goal is to compare linear versus nonlinear models in large quantities across experimental conditions. The present study examined the interacting roles of down-sampling rate, natural lag rates, task types, real-time lapse, and lag units on the accuracy of linear and nonlinear (exponential structures) autocor-relational models, starting with electrodermal data sampled at 200 obs/sec. Participants were 197 undergraduates organized into groups of 3-7 people in three sequential task conditions: watching a video that explained the problem situation, an individual mental task, and a group problem-solving task. Results showed that the optimal lag structures came from natural rates of 2 obs/sec at 1 sec lag or 3 obs/sec at 1 lag unit. Results varied modestly across the subtasks such that greater stability occurred when participants watched the video, followed by the group task, followed by the individual task. Nonlinear models were more accurate than ARMA generally, although there were specific experimental conditions in which the reverse was true. Future research across disciplines should investigate optimal lags from a perspective of naturally occurring change processes rate rather than rely on automatic computations.

Autonomic Synchronization, Team Coordination, Participation, and Performance

The synchronization of autonomic arousal levels within dyads and larger teams has become a potentially important variable in the explanation of team performance and group processes. Synchronization research with groups of three or more members has been challenging because of limited means for quantifying relationships that are more extensive than dyads. This article presents an empirical investigation of group performance and participation using a new synchronization coefficient that is grounded in nonlinear dynamical systems theory. We introduce the concept of a driver, a person with whom the group tends to synchronize the most, and an empath, a person who is most synchronized with other team members. Fifty-five undergraduate research participants, who were organized into 11 groups of three or four participants, played six emergency response simulations against an opponent while generating electrodermal data. Results showed that greater physiological synchronization resulted from better team performance and greater par-ticipation levels. Synchronization was higher for groups of four team members compared to three. Synchronization was also observed between the opponent and team members. Further opportunities for using the synchronization coefficient in group process research are discussed.

Turn Taking, Team Synchronization, and Non-stationarity in Physiological Time Series

This study investigated the stationarity of electrodermal time series collected in situations where turn taking in human interactions are involved. In this context, the stationarity of the time series is the extent to which a simple model can be used to fit the entire time series. The experiment involved seven participants in an emergency response simulation against one opponent. They generated 48 time series across six simulations, which were split and re-spliced to separate the team's turns and the opponent's turns. Significant differences in R2 coefficients were found for both linear and nonlinear statistical models between experimental conditions, but the difference only amounted to 3% of the accuracy of those models relative to the original data. It was thus concluded that the impact of turn taking on stationarity was a small effect at most. A comparison of synchronization coefficients for the team data, which rely on the collective accuracy of the individual time series models, indicated stronger synchronization during periods when the team was watching the opponent's actions compared to when they took their own turns. It was thus concluded, furthermore, that the common focus of attention prevailed against any non-stationarity that was introduced by turn taking.

Temporal Dynamics of Rituals in Obsessive Compulsive Disorder

Obsessive-compulsive disorder (OCD) is characterized by obsessions, defined as intrusive and persistent thoughts, and compulsions, defined as repetitive ritualistic behaviors that attempt to neutralize the anxiety associated with the obsessions. The present study investigated the patterns of symptoms as they occur over time in order to generate new insights about the triggers to symptoms. Fourteen adult participants who met the DSM-5 criteria for OCD completed 7-day logbooks of daily activities including the times when they engaged in compulsive rituals. Orbital Decomposition (ORBDE) was used to extract symptom patterns and revealed a wide range of symptom cycle lengths, some of which were hierarchically organized in time and some were not. Furthermore the results of the ORBDE analysis were logically consistent with those of a previously reported nonlinear regression analysis. Both analytic techniques supported a turbulence model for OCD onset: Combinations of cognition, emotion, and behavioral responses that would occur randomly for nonclinical samples self-organize into deterministic and chaotic patterns for clinical samples. It is speculated that knowledge of the individuals' temporal dynamics could inform effective treatment strategies, allowing a therapist to develop an individualized yet empirically supported treatment plan.

Performance and Participation Dynamics in an Emergency Response Simulation

This study examined relationships between participation and performance within a team and performance transfer effects between opponents in an Emergency Response (ER) simulation. Classical organizational theories have emphasized the importance of group participation for organizational performance, but there have been few or no attempts to investigate participation-performance relationships in short-interval time series. The experimental task was a Stag Hunt game, as defined in game theory; performance trends would be affected by levels of participation, which in turn should be affected by recent performance experiences that modulate the players' self-efficacy for the task. Participants were 62 undergraduates who were organized into 11 teams of 3 or 4 members playing an ER board game against one attacker. Time series analyses were conducted through nonlinear regression with exponential structural equations and by linear analyses for comparison. Results showed that performance time series of one opponent did not affect the other for teams of this size. Teams showed higher levels of adaptability compared to attackers, as evidenced by higher Lyapunov exponents. Performance affected group participation levels more so than the other way around. There appeared to be emergent group dynamics occurring between two experimental sessions that moderated the validity of the core linear and nonlinear models. Emergent group properties are one of several possible directions for further investigation within this experimental paradigm. Nonlinear models were more accurate than linear models after correcting for correlated residuals.

Nonlinear dynamical systems for theory and research in ergonomics

Nonlinear dynamical systems (NDS) theory offers new constructs, methods and explanations for phenomena that have in turn produced new paradigms of thinking within several disciplines of the behavioural sciences. This article explores the recent developments of NDS as a paradigm in ergonomics. The exposition includes its basic axioms, the primary constructs from elementary dynamics and so-called complexity theory, an overview of its methods, and growing areas of application within ergonomics. The applications considered here include: psychophysics, iconic displays, control theory, cognitive workload and fatigue, occupational accidents, resilience of systems, team coordination and synchronisation in systems. Although these applications make use of different subsets of NDS constructs, several of them share the general principles of the complex adaptive system. Practitioner Summary: Nonlinear dynamical systems theory reframes problems in ergonomics that involve complex systems as they change over time. The leading applications to date include psychophysics, control theory, cognitive workload and fatigue, biomechanics, occupational accidents, resilience of systems, team coordination and synchronisation of system components.

Development of a Synchronization Coefficient for Biosocial Interactions in Groups and Teams

Body movements, autonomic arousal, and electroencephalograms (EEGs) of group members are often coordinated or synchronized with those of other group members. Linear and nonlinear measures of synchronization have been developed for pairs of individuals, but little work has been done on measures of synchronization for groups. We define a new synchronization coefficient, SE, for a group based on pairwise correlations in time series data and employing the notions of a group driver, who most drives the group’s responses, and empath, who is most driven by the group. SE is developed here in the context of emotional synchronization based on galvanic skin response time series. A simulation study explores its properties, the balance between strong versus weak autocorrelational effects, transfer, group size, and direct versus oscillatory functions. Distributions of SE are not affected by group size up to 16 members. Norms for interpreting the coefficient are presented along with directions for new research.

Cognitive Workload and Fatigue in a Vigilance Dual Task: Miss Errors, False Alarms, and the Effect of Wearing Biometric Sensors While Working

The effects of workload, fatigue, and practice on the performance of cognitive tasks are often intertwined. Previous research has shown that these influences can be separated with the two cusp catastrophe models. This study expanded an earlier investigation of the two models for workload and fatigue in a vigilance task to include a wider range of bifurcation variables that could affect the elasticity versus rigidity of the operator in response to workload and added performance variability resulting from fatigue. The study also responded to a concern in the literature that performance on cognitive tasks can be complicated by adaptive responses to artificial task situations and thus distort underlying cognitive events. Therefore, we also explored whether wearing biometric sensors, frequently used in workload studies, can affect performance dynamics. Participants were 279 undergraduates who responded to target stimuli that appeared on a simulated security camera display at three rates of speed while completing a secondary task. Participants worked alone, in pairs, or in pairs wearing GSR sensors. Results supported the efficacy of the two models and isolated the impact of wearing sensors on the fatigue process. The strongest control variables across both the workload and fatigue models were field independence, anxiety, indecisiveness, inflexibility, secondary task completion, working in pairs, and wearing the sensors. The contributing effect of wearing sensors could possibly extend to other types of wearable technologies.

Convergent and Discriminant Validity of Psychological and Objective Indices of Organizational Climate

This study investigated the interrelationships among psychological and objective indices of organizational climate, and five performance measures. Subjects were 251 brokers and salespeople from 32 real estate offices. The Organizational Climate and Practices Questionnaire, Agency Climate Questionnaire, and the Survey of Organizations were the perceptual measures used, constituting 17 scales in all. Objective measures were chosen to reflect similar content areas to the subjective scales. A multitrait-multimethod matrix showed convergent and discriminant validity for some of the perceptual measures. Contrary to common findings, however, a composite of measures that yielded such validity indicated negative relationships with some performance measures. A cluster analysis of perceptual measures resulted in six clusters, and scales from a particular instrument generally tended to cluster with scales from the same instrument before clustering with scales from another instrument. Perceptual and objective variable sets were also independently factor analyzed. Component scores of objective measures accounted for more performance variance than perceptual measures. A number of problems and new directions for climate research were delineated.

Physiological Synchronization in Emergency Response Teams: Subjective Workload, Drivers and Empaths

Behavioral and physiological synchronization have important implications for work teams with regard to workload management, coordinated behavior and overall functioning. This study extended previous work on the nonlinear statistical structure of GSR series in dyads to larger teams and included subjective ratings of workload and contributions to problem solving. Eleven teams of 3 or 4 people played a series of six emergency response (ER) games against a single opponent. Seven of the groups worked under a time pressure instruction at the beginning of the first game. The other four groups were not given that instruction until the beginning of the fourth game. The optimal lag length for the teams, which appeared to be phase-locked, was substantially shorter than that obtained previously for loosely-coupled dyads. There was a complex nonlinear effect from the time pressure manipulation on the autocorrelation over time that reflected workload and fatigue dynamics that were operating. The R2 values for linear and nonlinear statistical models differed by less than .01. The average amount of influence from one ER team member to another was 4.5-4.7% of the variance in GSR readings. ER team members were classified as drivers and empaths, based on the autocorrelations and transfer influences to and from other players in the GSR time series. Empaths were rated by their peers as making more types of positive contributions to the problem solving discussions than others, and drivers received the lowest ratings. Larger Lyapunov exponents that were calculated from the GSR time series were positively correlated with individuals' ratings of subjective workload and were negatively correlated with leadership indicators. Several directions for further research are outlined.

Physiological Synchronization in a Vigilance Dual Task

The synchronization of autonomic arousal levels and other physio-logical responses between people is a potentially important component of work team performance, client-therapist relationships, and other types of human interaction. This study addressed several problems: What statistical models are viable for identifying synchronization for loosely coupled human systems? How is the level of synchronization related to psychosocial variables such as empathy, subjective ratings of workload, and actual performance? Participants were 70 undergraduates who worked in pairs on a vigilance dual task in which they watched a virtual reality security camera, rang a bell when they saw the target intruder, and completed a jig-saw puzzle. Event rates either increased or decreased during the 90 min work period. The average R2 values for each person were .66, .66, .62, and .53 for the linear autoregressive model, linear autoregressive model with a synchronization component, the nonlinear autoregressive model, and the nonlinear autoregressive model with a synchronization component, respectively. All models were more accurate at a lag of 20 sec compared to 50 sec or customized lag lengths. Although the linear models were more accurate overall, the nonlinear synchronization parameters were more often related to psychological variables and performance. In particular, greater synchronization was observed with the nonlinear model when the target event rate increased, compared to when it decreased, which was expected from the general theory of synchronization. Nonlinear models were also more effective for uncovering inhibitory or dampening relationships between the co-workers as well as mutually excitatory relationships. Future research should explore the comparative model results for tasks that induce higher levels of synchronization and involve different types of internal group coordination.

The Complexity of the Psychological Self and the Principle of Optimum Variability

Linville's theory of self-complexity relies of concepts of information measurement to produce its core measurement of complexity, which is in turn thought to be positively correlated with indicators of psychological well-being. Empirical research, however, has not supported this assertion as it was initially intended. Research with complex adaptive systems, however, shows that self-organized systems generally display mid-range values, whereas low-range values denote stereotypic, rigid, and possibly maladaptive behavior. High-range values, furthermore, tend to reflect disordered systems that could be maladaptive for other reasons. As a result, the linear correlations between metrics of complexity of the self and psychological well-being that were widely assumed in the empirical research are not appropriate. The substantive theory of self-complexity, however, is not inconsistent with expectations from complex adaptive systems. Recommendations are given here to improve the data analysis and interpretation of empirical results currently on record concerning the complexity of the self and mental health outcomes.

Estimating Appropriate Lag Length for Synchronized Physiological Time Series: The Electrodermal Response

Physiological synchronization of autonomic arousal between people is thought to be an important component of work team dynamics, therapist-client relationships, and other interpersonal dynamics. This article examines concepts and mathematical models of synchronization that could be relevant to work teams. Before it is possible to deploy nonlinear modeling, however, it is necessary to develop a strategy for determining appropriate lag lengths. If a measurement at time 2 is a function of itself at time 1 and a coupling effect from another source, what is the appropriate amount of real time that should be allowed to elapse between the two measurements in order to observe the coupling effect? This study examined four strategies for doing so. In the experiment, 78 undergraduates worked in pairs to perform a vigilance dual task for 90 min while galvanic skin responses (GSR) were recorded. Lags based on mutual entropy and the natural rate criteria produced corroborating results, whereas strategies based on a critical decline in the linear autocorrelation (max r/e) and Theiler's W did not produce usable results for this situation. Some connections were uncovered between linear autocorrelation strength and lag based on mutual entropy with performance on the tasks and subjective ratings of workload.

Nonlinear dynamical models in psychology are widespread and testable

Comments on the article by Fredrickson and Losada (see record 2005-11834-001). Fredrickson and Losada's claimed connection between positivity ratios in human interactions and the Lorenz chaotic attractor and the extensive critique thereof (Brown, Sokal, & Friedman, December 2013) lead me to offer several remarks about nonlinear dynamical systems (NDS) models in psychology that would-be researchers should understand if the goal is to move the science forward.

Catastrophe models for cognitive workload and fatigue in N-back tasks

N-back tasks place a heavy load on working memory, and thus make good candidates for studying cognitive workload and fatigue (CWLF). This study extended previous work on CWLF which separated the two phenomena with two cusp catastrophe models. Participants were 113 undergraduates who completed 2-back and 3-back tasks with both auditory and visual stimuli simultaneously. Task data were complemented by several measures hypothesized to be related to cognitive elasticity and compensatory abilities and the NASA TLX ratings of subjective workload. The adjusted R2 was .980 for the workload model, which indicated a highly accurate prediction with six bifurcation (elasticity versus rigidity) effects: algebra flexibility, TLX performance, effort, and frustration; and psychosocial measures of inflexibility and monitoring. There were also two cognitive load effects (asymmetry): 2 vs. 3-back and TLX temporal demands. The adjusted R2 was .454 for the fatigue model, which contained two bifurcation variables indicating the amount of work done, and algebra flexibility as the compensatory ability variable. Both cusp models were stronger than the next best linear alternative model. The study makes an important step forward by uncovering an apparently complete model for workload, finding the role of subjective workload in the context of performance dynamics, and finding CWLF dynamics in yet another type of memory-intensive task. The results were also consistent with the developing notion that performance deficits induced by workload and deficits induced by fatigue result from the impact of the task on the workspace and executive functions of working memory respectively.

Fractals and dynamics in art and design

Many styles of visual art that build on fractal imagery and chaotic dynamics in the creative process have been examined in NDPLS in recent years. This article presents a gallery of artwork turned into design that appeared in the promotional products of the Society for Chaos Theory in Psychology & Life Sciences. The gallery showcases a variety of new imaging styles, including photography, that reflect a deepening perspective on nonlinear dynamics and art. The contributing artworks in design formats combine to render the verve that transcends the boundaries between the artistic and scientific communities.

Catastrophe Models for Cognitive Workload and Fatigue

The cusp catastrophe models for cognitive workload and fatigue and their supporting research program evolved in response to numerous difficulties encountered in previous research. The two cusp models separate the two processes, which have the same temporal dynamic structure but different contributing variables, using an integrated experimental design that tests them both in the same situation. This presentation describes the structural models, experimental tasks, and principles of elasticity-rigidity, compensatory ability, minimum entropy, and the performance-variability paradox. Results from the series of six studies are summarized and discussed.

The performance-variability paradox, financial decision making, and the curious case of negative Hurst exponents

This study examined the relationship between performance variability and actual performance of financial decision makers who were working under experimental conditions of increasing workload and fatigue. The rescaled range statistic, also known as the Hurst exponent (H) was used as an index of variability. Although H is defined as having a range between 0 and 1, 45% of the 172 time series generated by undergraduates were negative. Participants in the study chose the optimum investment out of sets of 3 to 5 options that were presented a series of 350 displays. The sets of options varied in both the complexity of the options and number of options under simultaneous consideration. One experimental condition required participants to make their choices within 15 sec, and the other condition required them to choose within 7.5 sec. Results showed that (a) negative H was possible and not a result of psychometric error; (b) negative H was associated with negative autocorrelations in a time series. (c) H was the best predictor of performance of the variables studied; (d) three other significant predictors were scores on an anagrams test and ratings of physical demands and performance demands; (e) persistence as evidenced by the autocorrelations was associated with ratings of greater time pressure. It was concluded, furthermore, that persistence and overall performance were correlated, that 'healthy' variability only exists within a limited range, and other individual differences related to ability and resistance to stress or fatigue are also involved in the prediction of performance.

Catastrophe models for cognitive workload and fatigue in a vigilance dual task

OBJECTIVE

This study investigated two cusp catastrophe models for cognitive workload and fatigue for a vigilance dual task, the role of emotional intelligence and frustration in the performance dynamics, and the dynamics for individuals and teams of two participants.

BACKGROUND

The effects of workload, fatigue, practice, and time on a specific task can be separated with the two models and an appropriate experimental design. Group dynamics add further complications to the understanding of workload and fatigue effects for teams.

METHOD

In this experiment, 141 undergraduates responded to target stimuli that appeared on a simulated security camera display at three rates of speed while completing a jigsaw puzzle. Participants worked alone or in pairs and completed additional measurements prior to or after the main tasks.

RESULTS

The workload cusp verified the expected effects of speed and frustration on change in performance. The fatigue cusp showed that positive and negative changes in performance were greater if more work on the secondary task was completed and whether the participants who started with the fast vigilance condition demonstrated less fatigue.

CONCLUSION

The results supported the efficacy of the cusp models and suggested, furthermore, that training modules that varied speed of presentation could buffer the effects of fatigue.

APPLICATION

The cusp models can be used to analyze virtually any cognitively demanding task set. The particular results generalize to vigilance tasks, although a wider range of conditions within vigilance tasks needs to be investigated further.

Catastrophe model of the accident process, safety climate, and anxiety

This study aimed (a) to address the evidence for situational specificity in the connection between safety climate to occupational accidents, (b) to resolve similar issues between anxiety and accidents, (c) to expand and develop the concept of safety climate to include a wider range of organizational constructs, (d) to assess a cusp catastrophe model for occupational accidents where safety climate and anxiety are treated as bifurcation variables, and environ-mental hazards are asymmetry variables. Bifurcation, or trigger variables can have a positive or negative effect on outcomes, depending on the levels of asymmetry, or background variables. The participants were 1262 production employees of two steel manufacturing facilities who completed a survey that measured safety management, anxiety, subjective danger, dysregulation, stressors and hazards. Nonlinear regression analyses showed, for this industry, that the accident process was explained by a cusp catastrophe model in which safety management and anxiety were bifurcation variables, and hazards, age and experience were asymmetry variables. The accuracy of the cusp model (R2 = .72) exceeded that of the next best log-linear model (R2 = .08) composed from the same survey variables. The results are thought to generalize to any industry where serious injuries could occur, although situationally specific effects should be anticipated as well.

Understanding the importance of natural neuromotor strategy in upper extremity neuroprosthetic control

A key challenge in upper extremity neuroprosthetics is variable levels of skill and inconsistent functional recovery. We examine the feasibility and benefits of using natural neuromotor strategies through the design and development of a proof-of-concept model for a feed-forward upper extremity neuroprosthetic controller. Developed using Artificial Neural Networks, the model is able to extract and classify neural correlates of movement intention from multiple brain regions that correspond to functional movements. This is unique compared to contemporary controllers that record from limited physiological sources or require learning of new strategies. Functional MRI (fMRI) data from healthy subjects (N = 13) were used to develop the model, and a separate group (N = 4) of subjects were used for validation. Results indicate that the model is able to accurately (81%) predict hand movement strictly from the neural correlates of movement intention. Information from this study is applicable to the development of upper extremity technology aided interventions.

Vigilance phenomena, cognitive workload, and fatigue

Comments on the original record by Hancock (see record 2012-28202-001) regarding the problem of iatrogenically created psychological phenomena. This comment offers a solution to two of the problems that Hancock identified in his integrative review of vigilance research. First, the performance decrement over time that can set in within a half hour of performing a vigilance task in the laboratory is much less likely to occur in real-world conditions; performance improvements have also been noted. Second, a paradigm shift in the framing of questions and experimental designs is probably required to further research on these phenomena, which appear to grow in complexity (Hancock, 2013, p. 107).

Aperiodic deterministic structure of OCD and the familial effect on rituals

A dynamical disease is one in which the symptoms appear and disappear over time in a deterministic pattern that could be chaotic. By determining the dynamic structure of the temporal pattern it would be possible to gain some insight into the triggers for symptoms if not the disease process as a whole. The present study investigated whether obsessive-compulsive disorder (OCD) could be considered a dynamical disease because of the intermittent outbursts of ritual behaviors. One-week diaries were collected from 17 clinical cases with 16 matched controls to record both the occurrence of rituals as they transpired over time and the influence the family may have had upon the spatiotemporal structure of symptoms. Comparisons of nonlinear regression parameters and Lyapunov exponents revealed that OCD exhibited a low-dimensional deterministic structure. The average nonlinear model (R2 = 0.32) explained more than 10 times the variance of its linear counterpart (R2 = 0.03). Family reactions and emotional responses accounted for only a very modest increase in the variance explained by the nonlinear regression model or in the amount of turbulence. Family reactions and emotional responses do little to make the rituals go away, but instead may strengthen the dynamics. Finally, significant rank order correlations were found between the R2 for the time series for each logbook and Lyapunov exponents with symptom severity and family reactions.

The minimum entropy principle and task performance

According to the minimum entropy principle, efficient cognitive performance is produced with a neurocognitive strategy that involves a minimum of degrees of freedom. Although high performance is often regarded as consistent performance as well, some variability in performance still remains which allows the person to adapt to changing goal conditions or fatigue. The present study investigated the connection between performance, entropy in performance, and four task-switching strategies. Fifty-one undergraduates performed 7 different computer-based cognitive tasks producing sets of 49 responses under instructional conditions requiring task quotas or no quotas. The temporal patterns of performance were analyzed using orbital decomposition to extract pattern types and lengths, which were then compared with regard to Shannon entropy, topological entropy, and overall performance. Task switching strategies from a previous study were available for the same participants as well. Results indicated that both topological entropy and Shannon entropy were negatively correlated with performance. Some task-switching strategies produced lower entropy in performance than others. Stepwise regression showed that the top three predictors of performance were Shannon entropy and arithmetic and spatial abilities. Additional implications for the prediction of work performance with cognitive ability measurements and the applicability of the minimum entropy principle to multidimensional performance criteria and team work are discussed.

Investigating the neural correlates of goal-oriented upper extremity movements

OBJECTIVE

To understand neural correlates of upper extremity task performance (functional vs. non-functional) and to understand their influence on neuromotor control strategies.

DESIGN

Cross-sectional descriptive study, with repeated measures.

SETTING

Medical center 1.5T MRI clinical imaging facility.

PARTICIPANTS

Neurologically intact individuals, (M=14 F=5 mean age=22.94 ± 3.1 years) all right hand dominant as determined by the Edinburgh handedness survey. Subjects performed upper extremity motor tasks of reaching and grasping in a block paradigm. Whole brain fMRI data was acquired using a 1.5T MRI scanner.

MAIN OUTCOME MEASURES

Differences in fMRI area of activation and maximum activation intensity for the whole brain were evaluated among the different upper extremity motor tasks.

RESULTS

Our results indicate (a) Activations in brain regions are task specific. (b) ANOVA results indicate functional goal oriented movements of reaching and grasping produce higher activation intensity (p < 0.0001) in more regions of the cortex (Somatosensory motor area, primary motor cortex, and parietal region) and cerebellum (p < 0.001) as compared to nonfunctional rhythmic movements of reaching only and grasping only. (c) There is some overlap in cerebellar activations, however areas of activation in the medial cerebellum were observed for reaching-and-grasping, while the grasping-only task produced activation more laterally in the cerebellum.

CONCLUSIONS

Our findings suggest that (a) neuromotor strategy for functional goal-oriented movements is different from rhythmic movements such as finger tapping or non-functional movements, (b) This difference can be quantified and mapped using fMRI. (c) There are some overlap with activation of movement execution however the cognitive component that mediates the specific movement is not just the linear combination of simple movements rather it is task and context specific. (d) The results support the concept of using goal-oriented tasks in the applications of rehabilitation and therapy for restoration of function.

Cusp catastrophe models for cognitive workload and fatigue: a comparison of seven task types

The study introduces a nonlinear paradigm that addresses several unresolved problems concerning cognitive workload and fatigue: (a) how to separate the effects of workload versus fatigue, (b) whether the upper boundaries of cognitive channel capacity are fixed or variable, and how multitasking produces a bottleneck phenomenon, (c) that prolonged time on task can produce performance decrements but also produce improvements in task performance associated with practice and automaticity, and that (d) task switching can alleviate fatigue but could be mentally costly. This study describes two cusp catastrophe models that have become useful for separating the workload and fatigue performance phenomena and explores the role of task switching and multitasking in both performance phenomena. In the experiment, 105 undergraduates completed seven computer-based tasks seven times under one of four experimental conditions: tasks fully alternated, tasks aggregated with the multitask module performed first, aggregated with the multitask module performed last, and where the participants chose the task order themselves. Results supported both the cusp models such that fatigue effects were stronger for tasks with higher memory or attentional demand, and were often counteracted by practice effects; spelling ability acted as a compensation variable in most cases, and the intervening amount of work done acted as the bifurcation variable. For cognitive workload, catastrophic shifts in performance were noted between the single tasks and the multitask, with relative difficulty of the single task acting as the load (asymmetry) variable and the flexible task ordering condition as the bifurcation variable.

New paradigm for task switching strategies while performing multiple tasks: entropy and symbolic dynamics analysis of voluntary patterns

It has become well established in laboratory experiments that switching tasks, perhaps due to interruptions at work, incur costs in response time to complete the next task. Conditions are also known that exaggerate or lessen the switching costs. Although switching costs can contribute to fatigue, task switching can also be an adaptive response to fatigue. The present study introduces a new research paradigm for studying the emergence of voluntary task switching regimes, self-organizing processes therein, and the possibly conflicting roles of switching costs and minimum entropy. Fifty-four undergraduates performed 7 different computer-based cognitive tasks producing sets of 49 responses under instructional conditions requiring task quotas or no quotas. The sequences of task choices were analyzed using orbital decomposition to extract pattern types and lengths, which were then classified and compared with regard to Shannon entropy, topological entropy, number of task switches involved, and overall performance. Results indicated that similar but different patterns were generated under the two instructional conditions, and better performance was associated with lower topological entropy. Both entropy metrics were associated with the amount of voluntary task switching. Future research should explore conditions affecting the trade-off between switching costs and entropy, levels of automaticity between task elements, and the role of voluntary switching regimes on fatigue.