More bang for the buck: autonomy support increases muscular efficiency

Virtual Reality Exercise with Autonomy Support Increases Positive Affect During Time Trial Exercise

Background: Being able to choose elements of an exercise session, known as autonomy support, improves motor performance and psychological responses. Virtual reality (VR) programs provide many options for embedding autonomy support in exercise sessions. The purpose of this study was to investigate the effects of autonomy support in a VR setting on physiological and psychological responses to self-regulated rowing exercise. Methods: Using a repeated-measures crossover design, healthy untrained men and women (N = 20, age = 23.0 ± 7.4) completed exercise sessions on a rowing ergometer coupled with a head-mounted immersive VR application. In the Choice condition, participants chose the virtual environment, and in the Control condition, the environment was assigned to the participant. Participants were instructed to complete 1500 m as quickly as possible in both conditions, while ratings of perceived exertion, affective valence, and heart rate were recorded throughout the trials. Finishing time and remembered pleasure were assessed at the end of each session. Repeated-measures analyses with an alpha level of 0.05 were used for all variables as appropriate, with Bonferroni adjustments applied for any post hoc tests. Results: There was a main effect of condition on affective valence which was higher in Choice (2.07 ± 1.67) than Control (1.64 ± 2.12, P = 0.03, η2 = 0.22). No other differences were detected between conditions for finishing time or the remaining variables. Conclusion: During self-regulated exercise accompanied by an immersive VR application, being able to choose the virtual environment oneself leads to a more positive affective state without compromising exercise effort, physiological strain, or performance.

The Critical Period After Stroke Study (CPASS) Upper Extremity Treatment Protocol

Objective

To present the development of a novel upper extremity (UE) treatment and assess how it was delivered in the Critical Periods After Stroke Study (CPASS), a phase II randomized controlled trial (RCT).

Design

Secondary analysis of data from the RCT.

Setting

Inpatient and outpatient settings the first year after stroke.

Participants

Of the 72 participants enrolled in CPASS (N=72), 53 were in the study groups eligible to receive the treatment initiated at ≤30 days (acute), 2-3 months (subacute), or ≥6 months (chronic) poststroke. Individuals were 65.1±10.5 years of age, 55% were women, and had mild to moderate UE motor capacity (Action Research Arm Test=17.2±14.3) at baseline.

Intervention

The additional 20 hours of treatment began using the Activity Card Sort (ACS), a standardized assessment of activities and participation after stroke, to identify UE treatment goals selected by the participants that were meaningful to them. Treatment activities were broken down into smaller components from a standardized protocol and process that operationalized the treatments essential elements.

Main Outcome Measures

Feasibility of performing the treatment in a variety of clinical settings in an RCT and contextual factors that influenced adherence.

Results

A total of 49/53 participants fully adhered to the CPASS treatment. The duration and location of the treatment sessions and the UE activities practiced during therapy are presented for the total sample (n=49) and per study group as an assessment of feasibility and the contextual factors that influenced adherence.

Conclusions

The CPASS treatment and therapy goals were explicitly based on the meaningful activities identified by the participants using the ACS as a treatment planning tool. This approach provided flexibility to customize UE motor therapy without sacrificing standardization or quantification of the data regardless of the location and UE impairments of participants within the first year poststroke.

Steady, Aim, Fire! Optimized Instructions Enhance Performance and Reduce Intra-Trial Variability in a Shooting Task

The present study examined the influence of the individual and sequential combination of the key components of OPTIMAL (Optimizing Performance Through Intrinsic Motivation and Attention for Learning) theory (i.e., enhanced expectancies, autonomy support, and external focus), on the performance of a laser-pistol shooting task. In addition to shooting accuracy, intra-trial variability in the sway of forearm/pistol motion prior to movement execution (pulling the trigger) was the primary variable of interest. In a between-within-subject design, thirty-six participants (Mage = 21.27 ± 1.75 years) were randomized into either a control or an optimized group. Enhanced expectancies, autonomy support, and an external focus were implemented via sequential blocks of trials for participants in the optimized group. Participants in the control group performed all trials under “neutral” conditions. Our results showed that motor performance was enhanced for participants in the optimized group compared to those in the control group. Moreover, greater reductions in forearm sway leading up to the trigger pull were observed for the optimized group compared to the control group. These findings suggest higher movement effectiveness and efficiency, potentially through better attunement to task and environmental constraints, when implementing optimized instructions in a self-initiated fine motor task.

Translating Thoughts Into Action: Optimizing Motor Performance and Learning Through Brief Motivational and Attentional Influences

Skilled motor performance is essential in sports, the performing arts, various occupations, and many daily activities. Scientists and practitioners alike are therefore interested in understanding the conditions that influence the performance and learning of movement skills, and how they can be utilized to optimize training. In OPTIMAL theory, three motivational and attentional factors are key: enhanced expectancies for future performance, the performer’s autonomy, and an external focus of attention. We review recent evidence suggesting that each factor contributes independently to strengthen the coupling of goals to actions. This work has implications ranging from fostering more effective skill development in novice learners, to increasing the efficiency of athletes’ and musicians’ performance, and to facilitating the success of patients in regaining functional capabilities.

The Interplay Between Affective Processing and Sense of Agency During Action Regulation: A Review

Sense of agency is the feeling of being in control of one's actions and their perceivable effects. Most previous research identified cognitive or sensory determinants of agency experience. However, it has been proposed that sense of agency is also bound to the processing of affective information. For example, during goal-directed actions or instrumental learning we often rely on positive feedback (e.g., rewards) or negative feedback (e.g., error messages) to determine our level of control over the current task. Nevertheless, we still lack a scientific model which adequately explains the relation between affective processing and sense of agency. In this article, we review current empirical findings on how affective information modulates agency experience, and, conversely, how sense of agency changes the processing of affective action outcomes. Furthermore, we discuss in how far agency-related changes in affective processing might influence the ability to enact cognitive control and action regulation during goal-directed behavior. A preliminary model is presented for describing the interplay between sense of agency, affective processing, and action regulation. We propose that affective processing could play a role in mediating the influence between subjective sense of agency and the objective ability to regulate one's behavior. Thus, determining the interrelation between affective processing and sense of agency will help us to understand the potential mechanistic basis of agency experience, as well as its functional significance for goal-directed behavior.

Maximal force production requires OPTIMAL conditions

The OPTIMAL theory of motor learning identifies several motivational and attentional factors that draw out latent motor performance capabilities. One implication of the OPTIMAL theory of motor learning (Wulf & Lewthwaite, 2016) is that standardized motor performance assessments likely do not reflect maximal capabilities unless they are "optimized" with appropriate testing conditions. The present study examined the effects of three key motivational (enhanced expectancies, EE, and autonomy support, AS) and attentional (external focus, EF) variables in the OPTIMAL theory on maximum force production. In Experiment 1, a handgrip strength task was used. EE, AS, and EF were implemented, in a counterbalanced order, on consecutive trial blocks in an optimized group. A control group performed all blocks under neutral conditions. While there were no group differences on Block 1 (baseline), the optimized group outperformed the control group on all other blocks. In Experiment 2, participants performed two one-repetition maximum (1-RM) squat lift tests, separated by one week. Two groups, an optimized group and control group, had similar 1-RM values on the first test performed under neutral conditions. However, on the second test, a group performing under optimized conditions (EE, AS, EF) showed an increase in 1-RM, while there was no change from the first to the second test for a control group. We argue that standard test conditions may not produce true maximal performance. The findings corroborate the importance of key factors in the OPTIMAL theory and should be applied to ensure accurate strength performance assessment.

Choose your words wisely: Optimizing impacts on standardized performance testing

BACKGROUND

The OPTIMAL theory of motor learning identifies motivational (enhanced expectancies, EE, and autonomy support, AS) and attentional (an external attentional focus, EF) factors that affect motor performance and learning [1]. One implication of this theory is that standardized clinical and laboratory assessments of physical capacity and motor performance that do not incorporate optimizing conditions may underestimate true maximal capabilities. The influence of "optimized" conditions on a clinical-applied test of balance control was examined with healthy participants. Given the motor performance benefits of optimized conditions predicted by the OPTIMAL theory, it was hypothesized that providing participants with information that induced EE, provided them with AS, and promoted their use of EF would reduce balance errors and postural sway.

METHODS

We used as an exemplar assessment, the Balance Error Scoring System (BESS), and center-of-pressure (COP) velocity measurements of postural sway. Participants performed under two different conditions, separated by two days: an optimized (EE, AS, and EF) condition and a control ("neutral") condition, with sample-wide order counterbalancing. In each condition, participants performed three stances (double-leg, single-leg, and tandem) on two support surfaces (firm and foam). Stance order was participant-determined in the optimized condition and, for the control condition, yoked to a participant in the optimized condition.

RESULTS

Participants committed fewer balance errors in the optimized condition than in the control condition (p < .001) and their resultant COP velocity in the optimized condition was lower than that in the control condition (p = .004). BESS scores were correlated with resultant COP velocity (r = .593, p < .001).

SIGNIFICANCE

Our results demonstrated the impact of implementing optimized, as opposed to "neutral" control, conditions for better insight into balance capabilities in normal and challenging situations. Practitioners' roles in mediating test situations and using subtle wording to promote optimized performance may have consequential impacts on motor assessment outcomes.