Self-efficacy and acceptance of robots

Acceptance of a mobile telepresence robot used to teach adapted physical activity to isolated older adults: extending and testing the technology acceptance model

This study aimed to investigate the acceptance of adapted physical activity (APA) by teachers and students before the use of a mobile telepresence robot (MTR), used to remotely supervise isolated older adults' physical activity. While previous studies have shown MTR to be fairly well accepted by older adults, nothing is known about its acceptance by APA teachers themselves. However, if they did not accept it, the MTR would not be used in the end. This would be a public health issue because isolated older adults would not benefit from supervised APA, yet beneficial to their health. To this end, 334 participants answered a survey that measured different psychological variables, based on the technology acceptance model (TAM). Student's t-tests and structural equation modeling were used for data processing. Results showed that, before use, there was not any significant difference between teachers' and students' acceptance of the MTR. Then, perceived usefulness for teaching APA, perceived ease of use, perceived enjoyment, and intention to use the MTR were lower than the mean of the scale, while perceived usefulness for older adults was higher than the mean of the scale. Finally, this study has validated an extended version of the TAM (including the need for competence and MTR self-efficacy), which allowed it to explain 84.3% of the variance of the students' and APA teachers' intention to use the MTR for teaching APA to isolated older adults. Initial obstacles to the use of the MTR seem to exist on the part of APA teachers, prior to their first use, whereas this is not the case for older adults. APA teachers' acceptance should therefore be investigated in future studies to examine whether this trend is confirmed after the effective use of the MTR.

Staff's Attitudes towards the Use of Mobile Telepresence Robots in Long-Term Care Homes in Canada

This cross-sectional study investigated staff's attitudes towards the use of mobile telepresence robots in long-term care (LTC) homes in western Canada. We drew on a Health Technology Assessment Core Model 3.0 to design a survey examining attitudes towards nine domains of mobile telepresence robots. Staff, including nurses, care staff, and managers, from two LTC homes were invited to participate. Statistical analysis of survey data from 181 participants revealed that overall, participants showed positive attitudes towards features and characteristics, self-efficacy on technology use, organizational aspects, clinical effectiveness, and residents and social aspects; neutral attitudes towards residents' ability to use technology, and costs; and negative attitudes towards safety and privacy. Participants who disclosed their demographic backgrounds tended to exhibit more positive attitudes than participants who did not. Content analysis of textual data identified specific concerns and benefits of using the robots. We discuss options for implementing mobile telepresence robots in LTC.

Closing the loop in minimally supervised human-robot interaction: formative and summative feedback

Human instructors fluidly communicate with hand gestures, head and body movements, and facial expressions, but robots rarely leverage these complementary cues. A minimally supervised social robot with such skills could help people exercise and learn new activities. Thus, we investigated how nonverbal feedback from a humanoid robot affects human behavior. Inspired by the education literature, we evaluated formative feedback (real-time corrections) and summative feedback (post-task scores) for three distinct tasks: positioning in the room, mimicking the robot's arm pose, and contacting the robot's hands. Twenty-eight adults completed seventy-five 30-s-long trials with no explicit instructions or experimenter help. Motion-capture data analysis shows that both formative and summative feedback from the robot significantly aided user performance. Additionally, formative feedback improved task understanding. These results show the power of nonverbal cues based on human movement and the utility of viewing feedback through formative and summative lenses.

Factors associated with intention to use care robots among people with physical disabilities

BACKGROUND

As the disabled population ages and the demand for care increases, Socially, the need for care robots is emerging but, perceptions of care robots among care recipients is unknown.

PURPOSE

To determine the level of intention to use care robots among care recipients and identify predictors of intention to use care robots.

METHODS

A cross-sectional survey was conducted using a convenience sample of 163 persons with disabilities from January to March 2022 at the Veterans Health Service Medical Center.

DISCUSSION

Overall, 64.42% of respondents intended to use care robots. Predictors included perceived behavioral control, participants' perceptions of the caregiver's burden, attitude toward robot use, subjective norms, and age.

CONCLUSION

These findings suggest that individuals who are community-dwelling desire the use care robots to maintain their independence and may provide useful insignt for the introduction various care robots in acute care and long-term care settings.

Developing trustworthy artificial intelligence: insights from research on interpersonal, human-automation, and human-AI trust

The rapid advancement of artificial intelligence (AI) has impacted society in many aspects. Alongside this progress, concerns such as privacy violation, discriminatory bias, and safety risks have also surfaced, highlighting the need for the development of ethical, responsible, and socially beneficial AI. In response, the concept of trustworthy AI has gained prominence, and several guidelines for developing trustworthy AI have been proposed. Against this background, we demonstrate the significance of psychological research in identifying factors that contribute to the formation of trust in AI. Specifically, we review research findings on interpersonal, human-automation, and human-AI trust from the perspective of a three-dimension framework (i.e., the trustor, the trustee, and their interactive context). The framework synthesizes common factors related to trust formation and maintenance across different trust types. These factors point out the foundational requirements for building trustworthy AI and provide pivotal guidance for its development that also involves communication, education, and training for users. We conclude by discussing how the insights in trust research can help enhance AI's trustworthiness and foster its adoption and application.

Technology Acceptance of Socially Assistive Robots Among Older Adults and the Factors Influencing It: A Meta-Analysis

The purpose of this study was to deeply understand older adults' acceptance of socially assistive robots and their influencing factors and to compare the strength of the correlation between each influencing factor variable and the acceptance. The literature search was performed in five databases from their inception to January 17, 2023. The meta-analysis was performed using Review Manager 5.4 and Stata 16.0 software. Thirteen papers were included in this study. The mean value of acceptability after using the inverse variance method was 3.68. Education level is strongly related to technology acceptance; perceived ease of use, perceived usefulness, technology experience, technology attitude, perceived hedonism, and convenience are moderately related; anxiety is only weakly related.

Acceptance of social assistant robots for the older adults living in the community in China

BACKGROUND

Social assistant robots (SARs) are an important part of providing high quality health and social care for older people, and are an effective measure to promote the development of smart aging. Therefore, it is important to understand the factors that influence the acceptance of assistive robots by older adults.

PURPOSE

To investigate the acceptance of SARs for older adults living in the community and explore its influencing factors.

METHODS

207 elderly was invited to answer a questionnaire after watching a SAR video and discussing it. Participants' characteristics, physical health status, general self-efficacy, personality trait and acceptance toward SARs were recorded and analyzed using multiple linear regression analysis.

RESULTS

showed that the degree of acceptance among older adults living in the community was moderate(2.55±0.86), and the acceptance rate was 51.0%. Whether to use mobile devices(smartphones, computers, robots), the experience of using mobile service devices, perceived usefulness, perceived enjoyment, perceived ease of use and attitude were the main affecting factors (P<0.05).

CONCLUSIONS

The elderly Chinese in the community have a low acceptance of SARs. The higher the perceived usefulness, perceived enjoyment and perceived ease of use, the more positive attitude to using. The elderly who has the experience of using mobile service devices have a higher acceptance of SARs.

Gerontechnology for better elderly care and life quality: a systematic literature review

Gerontechnology as multidisciplinary research has expanded in recent years due to its significant role in ensuring better care and improved quality of life for older adults and their caregivers. With a substantial increase in studies on reasons behind less inclination of older individuals to accept gerontechnology, barriers to its non-acceptance appear to be persistent. In addition, there is a dearth of research on the adoption of gerontechnology from the perspectives of social caregivers, given that caregivers bear a substantial burden in the form of chronic stress, which adversely affects their health and that of older people. Therefore, the aim of this study is to present a holistic perspective of older adults and their caregivers by systematically reviewing literature on gerontechnology acceptance. Adopting the preferred reported items for systematic and meta-analysis (PRISMA) framework, publications specifically on gerontechnology from 2002 to 2022 in Scopus, Web of Science and PubMed, that focused on older people (50 years and above) and caregivers (informal and formal) were reviewed. We critically evaluated 25 publications and synthesised them thematically. The results highlight that gerontechnology acceptance by older adults and their social caregivers is highly contingent on certain personal, physical, socio-cultural and technological indicators. However, this paper concludes that a generalised policy approach for gerontechnology and a better quality of life may be ineffective, considering that older adults and social caregivers constitute two heterogeneous groups.

Increasing acceptance of medical AI: The role of medical staff participation in AI development

BACKGROUND

Medical artificial intelligence (AI) in varying degrees has exerted significant influence on many medical fields, especially in the midst of the COVID-19 pandemic. However, little is known regarding how to address the reluctance of medical staff to use AI technology. While recent research has highlighted the importance of medical staff participation in the development of AI, the current understanding of influence of medical staff participation on acceptance of AI is limited.

OBJECTIVES

To provide insights into the mechanism that how medical staff participation impacts on the medical staff's acceptance of AI and to examine the moderating effect of speciesism.

METHODS

This study was conducted from 6th August to 3rd September. Data was collected from doctors and nurses and a total of 288 valid questionnaires were obtained. Smart PLS 3.2.8 was used as partial least square (PLS) software to validate the research model.

RESULTS

The study determined that medical staff participation had a significant impact on acceptance of medical AI-IDT (β = 0.35, p ≤ 0.001) and acceptance of medical AI-ADT (β = 0.44, p ≤ 0.001). The results also show that AI self-efficacy and AI anxiety have significant mediating effects and speciesism has significant moderating effects among the theoretical model.

CONCLUSIONS

This study provides insights into ways to explore influence factors of acceptance of AI based on user participation perspective. The results indicate that medical staff participation enhances acceptance of medical AI through the cognitive path (i.e., AI self-efficacy) and the affective path (i.e., AI anxiety). These results have practical implications for how organizations assist the staff to accommodate themselves to AI technology in the future.

Telepresence robots from the perspective of psychology and educational sciences

Purpose

Telepresence robots (TPRs) are an emerging field of application and research that have received attention from various disciplines, including computer science, telehealth and education. The purpose of this study is to conduct a bibliometric analysis of publications on TPR in the Web of Science database from 1980 to 2022 to gain a better understanding of the state of research on TPRs and explore the role of pedagogical and psychological aspects in this research.

Design/methodology/approach

The analysis of research publications on TPRs was made on the basis of papers published in the Web of Science database from 1980 to 2022. The following research questions were proposed: What are the main tendencies in publication years, document types, countries of origin, source titles, publication authors, affiliations of authors and the most cited articles related to TPRs? What are the main topics discussed in the publications from the perspective of psychology? What are the main topics discussed in the publications from the perspective of educational sciences?

Findings

The results indicate that it is in the computer science where most of the existing research has been conducted, whereas the interest in the psychology and educational science has been relatively low. The greatest regional contributor has been the USA, whereas the effort in the European Union lags behind. Research publications in psychology in the Web of Science database related to TPRs can be grouped into three broad thematic categories: features of TPRs, degree of social presence compared to physical presence or other mediated technologies and opportunities for using TPRs. The results suggest that from the perspective of psychology, TPRs are one of the approaches that could enable greater social presence in remote communication. Most of the analysed papers in educational sciences investigated the opportunities of using TPRs in various educational fields. However, while the findings of the studies indicated significant potential of TPRs for education, their acceptance for wider use is still challenged.

Research limitations/implications

The limitations of this research are that this study only analysed research papers in the Web of Science database and therefore only covers a limited number of scientific papers published in the field of psychology and educational sciences on TPRs. In addition, only publications with the term “telepresence robots” in the topic area of the Web of Science database were analysed. Therefore, several relevant studies are not discussed in this paper that are not reflected in the Web of Science database or were related to other keywords.

Originality/value

The field of TPRs has not been explored using a bibliographic analysis of publications in the Web of Science database from the perspective of psychology and educational sciences. The findings of this paper will help researchers and academic staff better understand the state of research on TPRs and the pedagogical and psychological aspects addressed in this research.

Floor Cleaners as Helper Pets: Projecting Assistive Robots' Agency on Zoomorphic Affordances

Care of ageing adults has become a dominant field of application for assistive robot technologies, promising support for ageing adults residing in care homes and staff, in dealing with practical routine tasks and providing social and emotional relieve. A time consuming and human intensive necessity is the maintenance of high hygiene quality in care homes. Robotic vacuum cleaners have been proven effective for doing the job elsewhere, but-in the context of care homes-are counterproductive for residents' well-being and do not get accepted. This is because people with dementia manifest their agency in more implicit and emotional ways, while making sense of the world around them. Starting from these premises, we explored how a zoomorphic designed vacuum cleaner could better accommodate the sensemaking of people with dementia. Our design reconceptualises robotic vacuum cleaners as a cat-like robot, referring to a playful behaviour and appearance to communicate a non-threatening and familiar role model. Data from an observational study shows that residents responded positively to our prototype, as most of them engaged playfully with it as if it was a pet or a cat-like toy, for example luring it with gestures. Some residents simply ignored the robot, indicating that it was not perceived as frightening or annoying. The level of activity influenced reactions; residents ignored our prototype if busy with other occupations, which proves that it did not cause significant disturbance. We further report results from focus group sessions with formal and informal caregivers who discussed a video prototype of our robot. Caregivers encouraged us to enhance the animal like characteristics (in behaviour and materiality) even further to result in richer interactions and provoke haptic pleasure but also pointed out that residents should not mistake the robot for a real cat.

Socially Assistive Robots for Parkinson's Disease: Needs, Attitudes and Specific Applications as Identified by Healthcare Professionals

To explore how socially assistive robots (SARs) may assist the specific needs of individuals with Parkinson's disease (IwPD), we conducted three focus groups with 12 clinicians who treat IwPD. We present a thematic analysis of their perceptions of the needs of the patients, and their own expectations, perceived advantages, disadvantages and concerns regarding the use of SARs for IwPD. Clinicians were positive towards using SARs for IwPD, if used in the patient's home, for motor, communication, emotional, and cognitive needs, especially for practice and for help with activities of daily living. They were concerned that a SAR might be used to replace clinicians’ work, and stressed it should only augment the clinicians’ work. They thought a SAR may relieve some of the burden experienced by informal caregivers, and identified specific applications for SARs for PD. We asked 18 stakeholders (nine IwPD, nine family members) to rate their level of agreement with the clinicians’ statements. The greatest divergence between their views and those of the clinicians was on the topic of using a SAR as a companion, or as a feeding assistant, to which they objected. This work may be used as a basis for future studies designing SARs for IwPD.

How robots impact nurses' time pressure and turnover intention: A two-wave study

AIMS

To examine the relationships among effort ensuring robots' smooth operation (EERSO), time pressure, missed care, and nurses' turnover intention, and how robot performance moderates such relations.

BACKGROUND

Robots may reduce nurses' workload but typically still require some effort of nurses for robots' smooth operation. However, the negative impact of EERSO on nurses' workplace outcomes is unknown.

METHODS

This study used a two-wave follow-up design. Data were collected in a medical center in Taiwan, with first wave collected in 2019 and second wave collected between 2019 and 2020. A total of 331 participants were followed through the two waves.

RESULTS

EERSO is positively linked to missed care and time pressure. Time pressure is also positively linked to missed care and turnover intention. Positive robot performance weakens the positive link between EERSO and time pressure.

CONCLUSION

Using robots may help reduce nurses' workload, but it also requires nurses' efforts to maintain robots' continuous operation, that is, EERSO. It may adversely impact nursing professional workplaces.

IMPLICATIONS FOR NURSING MANAGEMENT

Nurse managers should reduce nurses' time pressure whilst suggest hospital managers to seek robots that require minimal EERSO.

Affective Attitudes Toward Robots at Work: A Population-Wide Four-Wave Survey Study

Robotization of work is progressing fast globally, and the process has accelerated during the COVID-19 pandemic. Utilizing integrated threat theory as a theoretical framework, this study investigated affective attitudes toward introducing robots at work using a four timepoint data (n = 830) from a Finnish working population longitudinal study. We used hybrid multilevel linear regression modelling to study within and between participant effects over time. Participants were more positive toward introducing robots at work during the COVID-19 pandemic than before it. Increased cynicism toward individuals’ own work, robot-use self-efficacy, and prior user experiences with robots predicted positivity toward introducing robots at work over time. Workers with higher perceived professional efficacy were less and those with higher perceived technology-use productivity, robot-use self-efficacy, and prior user experiences with robots were more positive toward introducing robots at work. In addition, the affective attitudes of men, introverts, critical personalities, workers in science and technology fields, and high-income earners were more positive. Robotization of work life is influenced by workers’ psychological well-being factors and perceived as a welcomed change in the social distancing reality of the pandemic.

The Acceptance of Telepresence Robots in Higher Education

While telepresence robots have increasingly become accepted in diverse settings, the research on their acceptance in educational contexts has been underdeveloped. This study analyzed how the use intention of telepresence robots can be influenced by perceived usefulness, perceived ease of use, subjective norm, and perceived risk for students, faculty, and staff in higher education. Survey data were collected from 60 participants with direct operator experience with a variety of telepresence robots deployed in a large research university in the Midwest region of the United States. Path analysis results indicated that perceived usefulness was the only significant direct predictor of use intention of telepresence robots. Both perceived ease of use and subjective norm had a significant positive effect on perceived usefulness. Subjective norm also had a significant positive indirect effect on use intention, mediated by perceived usefulness. Perceived risk had a negative effect on perceived ease of use. These findings indicated that the usefulness of robots was central to operators’ decisions to use telepresence robots. Therefore, design choice for telepresence robots should prioritize usefulness. Secondly, the design of telepresence robots should minimize complexity for the end user and minimize cognitive demand. Having nominal difficulty of use would also facilitate multiple embodiments by combining telepresence robots with other technologies to support more rich social interactions.

COVID-19 smart surveillance: Examination of Knowledge of Apps and mobile thermometer detectors (MTDs) in a high-risk society

BACKGROUND

Technological innovations gained momentum and supported COVID-19 intelligence surveillance among high-risk populations globally. We examined technology surveillance using mobile thermometer detectors (MTDs), knowledge of App, and self-efficacy as a means of sensing body temperature as a measure of COVID-19 risk mitigation. In a cross-sectional survey, we explored COVID-19 risk mitigation, mobile temperature detectable by network syndromic surveillance mobility, detachable from clinicians, and laboratory diagnoses to elucidate the magnitude of community monitoring.

MATERIALS AND METHODS

In a cross-sectional survey, we create in-depth comprehension of risk mitigation, mobile temperature Thermometer detector, and other variables for surveillance and monitoring among 850 university students and healthcare workers. An applied structural equation model was adopted for analysis with Amos v.24. We established that mobile usability knowledge of APP could effectively aid in COVID-19 intelligence risk mitigation. Moreover, both self-efficacy and mobile temperature positively strengthened data visualization for public health decision-making.

RESULTS

The algorithms utilize a validated point-of-center test to ascertain the HealthCode scanning system for a positive or negative COVID-19 notification. The MTD is an alternative personal self-testing procedure used to verify temperature rates based on previous SARS-CoV-2 and future mobility digital health. Personal self-care of MTD mobility and knowledge of mHealth apps can specifically manage COVID-19 mitigation in high or low terrestrial areas. We found mobile usability, mobile self-efficacy, and app knowledge were statistically significant to COVID-19 mitigation. Additionally, interaction strengthened the positive relationship between self-efficacy and COVID-19. Data aggregation is entrusted with government database agencies, using natural language processing and machine learning mechanisms to validate and analyze.

CONCLUSION

The study shows that temperature thermometer detectors, mobile usability, and knowledge of App enhanced COVID-19 risk mitigation in a high or low-risk environment. The standardizing dataset is necessary to ensure privacy and security preservation of data ethics.

The Use of Mobile Payment Systems in Post-COVID-19 Economic Recovery: Primary Research on an Emerging Market for Experience Goods

This study investigated whether mobile payment services could drive post-COVID-19 pandemic recovery in the ‘experience goods’ sector (e.g., tourism) utilising Bandura’s self-efficacy or social cognitive theory. It explored the factors influencing the intention to continue using mobile payment services and the intention to recommend these to others. An empirical survey was conducted to assess the study variables, and the data obtained therefrom were analysed using the industry-standard Cross-Industry Standard Process for Data Mining method. The study results suggest that personal innovativeness and perceived trust influence consumers’ intention to continue using mobile payment services and that perceived trust, personal innovativeness and outcome expectancy influence consumers’ intention to recommend the use of such services to others. The research findings have filled a research gap in emerging markets and can serve as the basis for formulating a winning marketing and operational strategy for nascent technologies such as mobile payment services. It would be naïve to extract findings from mature markets such as East Asia, the European Union and the United States and to apply these to developing markets. In addition, this study’s investigation of the variables that can influence the intention to continue using mobile payment services and to recommend the use of these to others goes into the heart of the sustainability issue because the study’s findings can help mobile payment service providers sustain the use of their applications and thus also sustain the advantages as such.

Exoskeleton acceptance and its relationship to self-efficacy enhancement, perceived usefulness, and physical relief: A field study among logistics workers

Objective

This field study aimed to explore the effects of exoskeleton use on task-specific self-efficacy beliefs of logistics workers and to relate these effects to usefulness perceptions and technology acceptance.

Background

A growing number of industrial companies have shown interest in having employees wearing exoskeletons to support their physical health. However, psychological consequences of exoskeleton use and mechanisms associated with workers' acceptance or rejection of exoskeletons are not yet sufficiently understood.

Methods

A total of 31 logistics workers of a vehicle manufacturing company reported on their work-related self-efficacy, that is, how capable they felt of performing tasks related to their job well, before partaking in half-hour trials of a passive lift-assistive exoskeleton (Laevo V2.5) during their normal work. Afterward, they completed a questionnaire on their exoskeleton-supported self-efficacy and indicated how useful they found the exoskeleton, how much physical relief they felt from wearing it, and how willing they were to continue with its use.

Results

Overall, wearing the exoskeleton did not lead to increased work-specific self-efficacy. However, indications of interaction effects were found between baseline self-efficacy, perceived physical relief, and perceived usefulness in such a way that workers who experienced the exoskeleton as more strain-relieving or more useful were also more likely to report a post-trial growth in their self-efficacy beliefs. A positive change in self-efficacy, in turn, was associated with a greater willingness to further use the exoskeleton at the workplace.

The introduction of care robots as a leadership challenge in home care facilities in Finland

Aims

This paper analyses the factors that influence home care employees’ intention to introduce robots.

Background

The introduction of different kinds of care robots is a topical issue in elderly care now and in the near future.

Methods

Cross‐sectional research conducted through a questionnaire. The survey data (N = 162) were collected in five locations around Finland in 2019. The analysis was carried out by regression analysis, Sobel test and by Hayes’ bootstrapping method.

Results

The results show that self‐efficacy is pivotal in the willingness to introduce care robots. Employees’ age increases the enthusiasm to introduce robots but reduces self‐efficacy. Work engagement does not correlate with self‐efficacy or behavioural intention related to the introduction of care robots.

Conclusions

The present paper reveals the significance of attitudes, cognitive factors and age in the adoption of care robots in home care facilities.

Practical implications

It is important to pay attention to supporting the employees’ sense of technology management and the construction of a robot‐positive atmosphere when introducing care robots, and the development of skills of older employees and employees with a lower educational level should be supported.

An associational study: preschool teachers' acceptance and self-efficacy towards Educational Robotics in a pre-service teacher training program

PURPOSE

This study explores pre-service preschool teachers' acceptance and self-efficacy towards Educational Robotics (ER) during a university course, and also examines their perceptions of the course.

METHODOLOGY

This is a one-group intervention study with an associational research design that includes both quantitative and qualitative research methods: two pre-questionnaires and two post-questionnaires on pre-service teachers' acceptance and self-efficacy towards ER, and participants' training journals.

FINDINGS

The results show that pre-service teachers' acceptance and self-efficacy towards ER improved after they completed the ER teacher training course. There was a significant difference between the start and the end of the ER training in the pre-service teachers' acceptance of ER in the areas of perceived ease of use, enjoyment and attitudes, and in their self-efficacy. The findings based on the training journals show that participants positively evaluated the course. The participants also provided suggestions for improving it, such as additional training sessions, resources and time for experimentation.

VALUE

Our study reveals the impact of an ER training program and showcases the importance of integrating ER in pre-service teachers' education.

Development and psychometric evaluation of the Caregiver Caregiving Self-Efficacy Scale for family members with oral cancer

AIM

The aim of this study was to develop and initially assess the psychometric properties of the Caregiver Caregiving Self-Efficacy Scale-Oral Cancer (CSES-OC).

METHODS

In total, 28 items in the Caregiver Caregiving Self-Efficacy Scale-Oral Cancer were originally employed for a reliability and validity test based on expert suggestions and qualitative findings. The Cronbach's alpha coefficient and test-retest reliability were evaluated with the pilot sample, which included 30 caregivers. The main test, which included 107 caregivers during May 2016 to 2018, was used to execute the exploratory factor analysis (EFA) and concurrent validity.

RESULTS

The results of the main test showed a Cronbach's alpha coefficient of .95 for the revised 18-item total scale after EFA. Four factors (acquiring resources, managing sudden and uncertain patient conditions, managing patient-related nutritional issues and exploring and making decisions on patient care) were classified from EFA of the Caregiver Caregiving Self-Efficacy Scale-Oral Cancer. The r coefficient was .59 (P < .01), which supported the concurrent validity between CSES-OC and General Self-Efficacy Scale.

CONCLUSION

The study results show appropriate psychometric properties for the Caregiver Caregiving Self-Efficacy Scale-Oral Cancer that was constructed for evaluating caregiver caregiving self-efficacy in caring for family members with oral cancer.

Experiences, knowledge of functions, and social acceptance of robots: an exploratory case study focusing on Japan

Although Japanese society has become aware of some types of robots, social acceptance of robots is still not widespread. This study conducted an online questionnaire survey to investigate the relationships between experiences with and knowledge of vacuum, pet-type, and communication robots and acceptance of these robots, including the intention to use and trust. The results suggested that experiences with, knowledge of functions, and acceptance of the robots differed depending on the type of robot, and the influence of these factors on acceptance of the robots also differed depending on the robot types.

Attitudes Toward Robots as Equipment and Coworkers and the Impact of Robot Autonomy Level

Increasingly, people must interact with robot technologies. In this research, we examined attitudes toward robots as equipment and as coworkers and whether these attitudes are affected by the autonomy of the robot among participants living in the United States (Study 1: N = 1003; Study 2: N = 969). Study 1 revealed that respondents had a more positive attitude toward robots as equipment than as coworkers. Technology use self-efficacy and prior robot use experience were associated with more positive attitudes toward both robot positions. Having a degree in engineering or technology was associated with a positive attitude toward robot coworkers, while neuroticism was associated with a negative attitude. Additionally, technology use self-efficacy was found to have a significant indirect effect on the associations between openness and attitudes toward robots as well as conscientiousness and attitudes toward robots. In Study 2, a three-group online survey experiment showed that teleoperated robots and semi-autonomous robots were preferred as equipment over fully autonomous robots. The robots’ autonomy level did not impact attitude toward robot coworkers. Overall, the results suggest that people prefer non-autonomous robots over autonomous robots in the work-life context. The studies provide a comprehensive overview of attitudes toward robots as both equipment and coworkers, and the key predictors of the noted attitudes. The results suggest a readiness for shared autonomy between a human operator and a robot. This should be considered in the design and successful implementation of new robot technologies in workplaces.

Facing with Collaborative Robots: The Subjective Experience in Senior and Younger Workers

In the past few years, collaborative robots (i.e., cobots) have been largely adopted within industrial manufacturing. Although robots can support companies and workers in carrying out complex activities and improving productivity, human factors related to cobot operators have not yet been thoroughly investigated. The present study aims to understand the subjective experience of younger and senior workers interacting with an industrial collaborative robot. Results show that workers' acceptance of cobots is high, regardless of age and control modality used. Interesting differences between seniors and younger adults emerged in the evaluations of user experience, usability, and perceived workload of participants and are detailed and commented in the last part of the work.

Trust Toward Robots and Artificial Intelligence: An Experimental Approach to Human-Technology Interactions Online

Robotization and artificial intelligence (AI) are expected to change societies profoundly. Trust is an important factor of human-technology interactions, as robots and AI increasingly contribute to tasks previously handled by humans. Currently, there is a need for studies investigating trust toward AI and robots, especially in first-encounter meetings. This article reports findings from a study investigating trust toward robots and AI in an online trust game experiment. The trust game manipulated the hypothetical opponents that were described as either AI or robots. These were compared with control group opponents using only a human name or a nickname. Participants (N = 1077) lived in the United States. Describing opponents with robots or AI did not impact participants' trust toward them. The robot called jdrx894 was the most trusted opponent. Opponents named "jdrx894" were trusted more than opponents called "Michael." Further analysis showed that having a degree in technology or engineering, exposure to robots online and robot use self-efficacy predicted higher trust toward robots and AI. Out of Big Five personality characteristics, openness to experience predicted higher trust, and conscientiousness predicted lower trust. Results suggest trust on robots and AI is contextual and it is also dependent on individual differences and knowledge on technology.

The Parasitic Nature of Social AI: Sharing Minds with the Mindless

Can artificial intelligence (AI) develop the potential to be our partner, and will we be as sensitive to its social signals as we are to those of human beings? I examine both of these questions and how cultural psychology might add such questions to its research agenda. There are three areas in which I believe there is a need for both a better understanding and added perspective. First, I will present some important concepts and ideas from the world of AI that might be beneficial for pursuing research topics focused on AI within the cultural psychology research agenda. Second, there are some very interesting questions that must be answered with respect to central notions in cultural psychology as these are tested through human interactions with AI. Third, I claim that social robots are parasitic to deeply ingrained human social behaviour, in the sense that they exploit and feed upon processes and mechanisms that evolved for purposes that were originally completely alien to human-computer interactions.