scholarly journals Sharing Stress With a Robot: What Would a Robot Say?

2020 ◽  
Vol 1 ◽  
pp. 133-158 ◽  
Author(s):  
Honson Ling ◽  
Elin Björling
Keyword(s):  
Mental Health ◽  
Perceived Stress ◽  
User Satisfaction ◽  
Mental Health Problems ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Negative Attitudes ◽  
Perceived Safety ◽  
Robot Perception ◽  
Post Hoc

With the prevalence of mental health problems today, designing human-robot interaction for mental health intervention is not only possible, but critical. The current experiment examined how three types of robot disclosure (emotional, technical, and by-proxy) affect robot perception and human disclosure behavior during a stress-sharing activity. Emotional robot disclosure resulted in the lowest robot perceived safety. Post-hoc analysis revealed that increased perceived stress predicted reduced human disclosure, user satisfaction, robot likability, and future robot use. Negative attitudes toward robots also predicted reduced intention for future robot use. This work informs on the possible design of robot disclosure, as well as how individual attributes, such as perceived stress, can impact human robot interaction in a mental health context.

scholarly journals A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges

Technologies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 119 ◽  
Author(s):  
Konstantinos Tsiakas ◽  
Maria Kyrarini ◽  
Vangelis Karkaletsis ◽  
Fillia Makedon ◽  
Oliver Korn
Keyword(s):  
Training Session ◽  
Training System ◽  
Human Robot Interaction ◽  
Design Development ◽  
Robot Assisted ◽  
Robot Interaction ◽  
Training Systems ◽  
Robot Perception ◽  
Educational Environments ◽  
And Behavior

In this article, we present a taxonomy in Robot-Assisted Training; a growing body of research in Human–Robot Interaction which focuses on how robotic agents and devices can be used to enhance user’s performance during a cognitive or physical training task. Robot-Assisted Training systems have been successfully deployed to enhance the effects of a training session in various contexts, i.e., rehabilitation systems, educational environments, vocational settings, etc. The proposed taxonomy suggests a set of categories and parameters that can be used to characterize such systems, considering the current research trends and needs for the design, development and evaluation of Robot-Assisted Training systems. To this end, we review recent works and applications in Robot-Assisted Training systems, as well as related taxonomies in Human–Robot Interaction. The goal is to identify and discuss open challenges, highlighting the different aspects of a Robot-Assisted Training system, considering both robot perception and behavior control.

Mental health benefits from lifestyle physical activity interventions: A systematic review

2020 ◽  
Vol 84 (4) ◽  
pp. 337-372
Author(s):  
Samantha G. Farris ◽  
Ana M. Abrantes
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Systematic Review ◽  
Health Outcomes ◽  
Perceived Stress ◽  
Mental Health Problems ◽  
Health Problems ◽  
Mental Health Outcomes ◽  
Promising Alternative ◽  
Lifestyle Physical Activity

Lifestyle physical activity (LPA) interventions are a promising alternative to structured exercise interventions for addressing mental health problems. The authors conducted a systematic review of the literature on LPA interventions in any population in order to determine (a) the extent to which mental health outcomes were examined and (b) whether benefits in mental health outcomes were observed. Mental health outcomes were defined as depression, anxiety, perceived stress, health-related quality of life, and psychological well-being. A total of 73 articles were identified as LPA intervention, of which 24.7% (n = 18) reported the effect of LPA intervention on mental health outcomes. The most commonly evaluated mental health outcome was depression, and to a lesser extent anxiety and perceived stress. Overall, findings point to promising effects of LPA interventions across common mental health problems. Key areas for future research are discussed in light of emergent limitations in existing published studies.

Robotics for Assisting Children with Physical and Cognitive Disabilities

2015 ◽  
pp. 78-120 ◽  
Author(s):  
Mark Tee Kit Tsun ◽  
Lau Bee Theng ◽  
Hudyjaya Siswoyo Jo ◽  
Patrick Then Hang Hui
Keyword(s):  
Mental Health ◽  
Cerebral Palsy ◽  
Social Interaction ◽  
Assistive Technologies ◽  
Human Robot Interaction ◽  
Assistive Robotics ◽  
Active Movement ◽  
Robot Interaction ◽  
Passive Stretching ◽  
Locomotion Training

This chapter summarizes the findings of a study on robotics research and application for assisting children with disabilities between the years 2009 and 2013. The said disabilities include impairment of motor skills, locomotion, and social interaction that is commonly attributed to children suffering from Autistic Spectrum Disorders (ASD) and Cerebral Palsy (CP). As opposed to assistive technologies for disabilities that largely account for restoration of physical capabilities, disabled children also require dedicated rehabilitation for social interaction and mental health. As such, the breadth of this study covers existing efforts in rehabilitation of both physical and socio-psychological domains, which involve Human-Robot Interaction. Overviewed topics include assisted locomotion training, passive stretching and active movement rehabilitation, upper-extremity motor function, social interactivity, therapist-mediators, active play encouragement, as well as several life-long assistive robotics in current use. This chapter concludes by drawing attention to ethical and adoption issues that may obstruct the field's effectiveness.

Psychological distress constructs in police with different roles

2019 ◽  
Vol 8 (3) ◽  
pp. 264-279 ◽  
Author(s):  
Isobel Sheard ◽  
Melissa Ellen Burnett ◽  
Helen St Clair-Thompson
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Compassion Fatigue ◽  
Perceived Stress ◽  
Traumatic Stress ◽  
Secondary Traumatic Stress ◽  
Mental Health Problems ◽  
Compassion Satisfaction ◽  
Content Type ◽  
Police Personnel

Purpose Police personnel report relatively high rates of mental health difficulties, and are at an increased risk of experiencing stress, burnout, secondary traumatic stress and anxiety as a result of the nature of their work and may also experience low compassion satisfaction. However, it is likely that the prevalence of psychological distress varies across roles. The purpose of this paper is to explore psychological distress, in a large sample of police personnel, examining differences between individuals in a number of police roles. Design/methodology/approach A questionnaire assessing experience of mental health problems, perceived stress, compassion fatigue (burnout and secondary traumatic stress), compassion satisfaction and anxiety was administered to 602 police personnel, who were classified into one of ten roles (24/7 officers, communications, firearms, crime, resolution without deployment, neighbourhood, custody, safeguarding, operations and other roles). Differences based on role and the requirement for shift work were then examined. Findings 24/7 officers had higher compassion fatigue and lower compassion satisfaction than individuals in a number of other roles. Firearms officers had lower levels of perceived stress and anxiety. Resolution without deployment officers reported higher secondary traumatic stress and compassion fatigue. The findings also revealed that respondents who partake in shift work showed higher levels of perceived stress. Originality/value This is the first study to the authors’ knowledge to investigate experience of mental health problems and reports of psychological distress in different roles within a UK police force. The findings have important implications, for example, in terms of identifying groups who may be particularly at risk from psychological distress.

scholarly journals The effect of the 2008 recession on well-being and employment status of people with and without mental health problems

2019 ◽  
Vol 30 (4) ◽  
pp. 761-766 ◽  
Author(s):  
Unnur Jónsdóttir ◽  
Edda Björk þórðardóttir ◽  
Thor Aspelund ◽  
þórarinn Jónmundsson ◽  
Kristjana Einarsdóttir
Keyword(s):  
Mental Health ◽  
Perceived Stress ◽  
Odds Ratio ◽  
Employment Status ◽  
Adjusted Odds Ratio ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Study Cohort ◽  
Increased Risk

Abstract Background The world was hit hard by the 2008 recession which led to increased unemployment and financial strain. However, how the recession affected people with pre-existing mental health problems has been understudied. This study investigates the effect of the 2008 recession in Iceland on stress, well-being and employment status of people with regard to whether they are suffering from mental health problems. Methods The study cohort included participants (18–69 years old) of the ‘Health and Wellbeing of Icelanders’, a 3-wave survey conducted before (in 2007) and after (in 2009 and 2012) the recession in 2008. Self-assessed well-being was measured with the Short Warwick-Edinburgh Mental Well-being Scale and the 4-item Perceived Stress Scale. Logistic regression was used to assess the effect of the 2008 recession on self-assessed well-being and employment status in 2009 and 2012, using 2007 as a reference year. Results Participants with no pre-recession mental health problems were at increased risk of both poor well-being, (with adjusted odds ratio at 1.66, in 2009 and 1.64 in 2012) and higher perceived stress, (with adjusted odds ratio at 1.48 in 2009 and 1.53 in 2012), after the recession. Interestingly, no significant change in well-being and perceived stress was observed among participants suffering from pre-recession mental health problems. Both groups had increased risk of unemployment after the recession. Conclusion Results indicate that after recessions, the risk of stress and poor well-being increases only among those who do not suffer from pre-recession mental health problems.

scholarly journals An Immersive Investment Game to Study Human-Robot Trust

2021 ◽  
Vol 8 ◽  
Author(s):  
Sebastian Zörner ◽  
Emy Arts ◽  
Brenda Vasiljevic ◽  
Ankit Srivastava ◽  
Florian Schmalzl ◽  
...  
Keyword(s):  
Science Fiction ◽  
Positive Impact ◽  
Space Mission ◽  
Verbal Communication ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Investment Game ◽  
Robot Perception ◽  
The Impact ◽  
Human Robot Collaboration

As robots become more advanced and capable, developing trust is an important factor of human-robot interaction and cooperation. However, as multiple environmental and social factors can influence trust, it is important to develop more elaborate scenarios and methods to measure human-robot trust. A widely used measurement of trust in social science is the investment game. In this study, we propose a scaled-up, immersive, science fiction Human-Robot Interaction (HRI) scenario for intrinsic motivation on human-robot collaboration, built upon the investment game and aimed at adapting the investment game for human-robot trust. For this purpose, we utilize two Neuro-Inspired COmpanion (NICO) - robots and a projected scenery. We investigate the applicability of our space mission experiment design to measure trust and the impact of non-verbal communication. We observe a correlation of 0.43 (p=0.02) between self-assessed trust and trust measured from the game, and a positive impact of non-verbal communication on trust (p=0.0008) and robot perception for anthropomorphism (p=0.007) and animacy (p=0.00002). We conclude that our scenario is an appropriate method to measure trust in human-robot interaction and also to study how non-verbal communication influences a human’s trust in robots.

scholarly journals Tracking Stress, Mental Health, and Resilience Factors in Medical Students Before, During, and After a Stress-Inducing Exam Period: Protocol and Proof-of-Principle Analyses for the RESIST Cohort Study (Preprint)

2020 ◽  
Author(s):  
Jessica Fritz ◽  
Jan Stochl ◽  
Rogier A Kievit ◽  
Anne-Laura van Harmelen ◽  
Paul O Wilkinson
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Medical Students ◽  
Perceived Stress ◽  
Mental Distress ◽  
Mental Health Problems ◽  
Growth Models ◽  
Temporary Increase ◽  
Exam Stress ◽  
Resilience Factors

BACKGROUND Knowledge of mental distress and resilience factors over the time span from before to after a stressor is important to be able to leverage the most promising resilience factors and promote mental health at the right time. To shed light on this topic, we designed the RESIST (Resilience Study) study, in which we assessed medical students before, during, and after their yearly exam period. Exam time is generally a period of notable stress among medical students, and it has been suggested that exam time triggers mental distress. OBJECTIVE In this paper, we aim to describe the study protocol and to examine whether the exam period indeed induces higher perceived stress and mental distress. We also aim to explore whether perceived stress and mental distress coevolve in response to exams. METHODS RESIST is a cohort study in which exam stress functions as a within-subject natural stress manipulation. In this paper, we outline the sample (N=451), procedure, assessed measures (including demographics, perceived stress, mental distress, 13 resilience factors, and adversity), and ethical considerations. Moreover, we conducted a series of latent growth models and bivariate latent change score models to analyze perceived stress and mental distress changes over the 3 time points. RESULTS We found that perceived stress and mental distress increased from the time before the exams to the exam period and decreased after the exams to a lower level than before the exams. Our findings further suggest that higher mental distress before exams increased the risk of developing more perceived stress during exams. Higher perceived stress during exams, in turn, increased the risk of experiencing a less successful (or quick) recovery of mental distress after exams. CONCLUSIONS As expected, the exam period caused a temporary increase in perceived stress and mental distress. Therefore, the RESIST study lends itself well to exploring resilience factors in response to naturally occurring exam stress. Such knowledge will eventually help researchers to find out which resilience factors lend themselves best as prevention targets and which lend themselves best as treatment targets for the mitigation of mental health problems that are triggered or accelerated by natural exam stress. The findings from the RESIST study may therefore inform student support services, mental health services, and resilience theory.

scholarly journals Tracking Stress, Mental Health and Resilience Factors in Medical Students, Before, During and After a Stress-Inducing Exam Period: Protocol and Proof of Principle Analyses for the RESIST Cohort-Study

2020 ◽  
Author(s):  
Jessica Fritz ◽  
Jan Stochl ◽  
Rogier Kievit ◽  
Anne-Laura Van Harmelen ◽  
Paul Wilkinson
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Medical Students ◽  
Perceived Stress ◽  
Mental Distress ◽  
Mental Health Problems ◽  
Change Score ◽  
Temporary Increase ◽  
Stress Exposure ◽  
Resilience Factors

Background: Resilience factors, such as self-esteem or social support, are known to reduce mental distress in the face of stress or adversity exposure. So far, knowledge on the promotive value of resilience factors over the time span from before to during and after the stress or adversity exposure is concerningly scarce. Such knowledge seems however important to eventually be able to leverage the most promising resilience factors at the right time. To shed light on this topic we designed the RESIST study, in which we assessed medical students (N=457) before, during and after their yearly exam period. Exam time is a period of notable stress in medical students and has been suggested to trigger mental health problems.Objectives: Here we describe the study protocol and examine whether the exam period did indeed induced higher (di)stress.Methods: RESIST is a cohort-study in which exam stress functions as within-subject natural stress manipulation. In this manuscript we outline the sample, procedure, assessed measures (including demographics, perceived stress, mental distress, 13 resilience factors and adversity) and ethical considerations. Moreover, we conducted a series of latent growth and bivariate latent change score models to analyse perceived stress and mental distress changes over the three time points.Results: We found that perceived stress and mental distress increased during exams compared to before exams, but decreased below pre-exam levels afterwards. Our findings further suggest that higher perceived stress before the exams may result in less recovery in mental distress after exams. Moreover, higher mental distress before the exams increased the chance of higher perceived stress during exams, which in turn increased the risk for a less successful (or quick) recovery of mental distress after exams.Conclusion: As expected, the exam period caused a temporary increase in (di)stress. Therefore, the RESIST study lends itself well to explore whether the promotive value of resilience factors changes from before to during and/or after stress exposure. Such knowledge will eventually help to find out which resilience factors lend themselves best as prevention and which as intervention targets for the mitigation of mental health problems that are triggered or accelerated by the stress exposure. Findings from the RESIST study may therefore inform student support services, mental health services and resilience theory.

scholarly journals Aerial Flight Paths for Communication

2021 ◽  
Vol 8 ◽  
Author(s):  
Alisha Bevins ◽  
Brittany A. Duncan
Keyword(s):  
Emotional Response ◽  
Lessons Learned ◽  
Human Robot Interaction ◽  
Personality Characteristics ◽  
Field Of View ◽  
Robot Interaction ◽  
Negative Attitudes ◽  
Communication Situations ◽  
Aerial Vehicle ◽  
Communication Modalities

This article presents an understanding of naive users’ perception of the communicative nature of unmanned aerial vehicle (UAV) motions refined through an iterative series of studies. This includes both what people believe the UAV is trying to communicate, and how they expect to respond through physical action or emotional response. Previous work in this area prioritized gestures from participants to the vehicle or augmenting the vehicle with additional communication modalities, rather than communicating without clear definitions of the states attempting to be conveyed. In an attempt to elicit more concrete states and better understand specific motion perception, this work includes multiple iterations of state creation, flight path refinement, and label assignment. The lessons learned in this work will be applicable broadly to those interested in defining flight paths, and within the human-robot interaction community as a whole, as it provides a base for those seeking to communicate using non-anthropomorphic robots. We found that the Negative Attitudes towards Robots Scale (NARS) can be an indicator of how a person is likely to react to a UAV, the emotional content they are likely to perceive from a message being conveyed, and it is an indicator for the personality characteristics they are likely to project upon the UAV. We also see that people commonly associate motions from other non-verbal communication situations onto UAVs. Flight specific recommendations are to use a dynamic retreating motion from a person to encourage following, use a perpendicular motion to their field of view for blocking, simple descending motion for landing, and to use either no motion or large altitude changes to encourage watching. Overall, this research explores the communication from the UAV to the bystander through its motion, to see how people respond physically and emotionally.

scholarly journals Tracking Stress, Mental Health, and Resilience Factors in Medical Students Before, During, and After a Stress-Inducing Exam Period: Protocol and Proof-of-Principle Analyses for the RESIST Cohort Study

10.2196/20128 ◽  
2021 ◽  
Vol 5 (6) ◽  
pp. e20128
Author(s):  
Jessica Fritz ◽  
Jan Stochl ◽  
Rogier A Kievit ◽  
Anne-Laura van Harmelen ◽  
Paul O Wilkinson
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Medical Students ◽  
Perceived Stress ◽  
Mental Distress ◽  
Mental Health Problems ◽  
Growth Models ◽  
Temporary Increase ◽  
Exam Stress ◽  
Resilience Factors

Background Knowledge of mental distress and resilience factors over the time span from before to after a stressor is important to be able to leverage the most promising resilience factors and promote mental health at the right time. To shed light on this topic, we designed the RESIST (Resilience Study) study, in which we assessed medical students before, during, and after their yearly exam period. Exam time is generally a period of notable stress among medical students, and it has been suggested that exam time triggers mental distress. Objective In this paper, we aim to describe the study protocol and to examine whether the exam period indeed induces higher perceived stress and mental distress. We also aim to explore whether perceived stress and mental distress coevolve in response to exams. Methods RESIST is a cohort study in which exam stress functions as a within-subject natural stress manipulation. In this paper, we outline the sample (N=451), procedure, assessed measures (including demographics, perceived stress, mental distress, 13 resilience factors, and adversity), and ethical considerations. Moreover, we conducted a series of latent growth models and bivariate latent change score models to analyze perceived stress and mental distress changes over the 3 time points. Results We found that perceived stress and mental distress increased from the time before the exams to the exam period and decreased after the exams to a lower level than before the exams. Our findings further suggest that higher mental distress before exams increased the risk of developing more perceived stress during exams. Higher perceived stress during exams, in turn, increased the risk of experiencing a less successful (or quick) recovery of mental distress after exams. Conclusions As expected, the exam period caused a temporary increase in perceived stress and mental distress. Therefore, the RESIST study lends itself well to exploring resilience factors in response to naturally occurring exam stress. Such knowledge will eventually help researchers to find out which resilience factors lend themselves best as prevention targets and which lend themselves best as treatment targets for the mitigation of mental health problems that are triggered or accelerated by natural exam stress. The findings from the RESIST study may therefore inform student support services, mental health services, and resilience theory.

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