scholarly journals Long-Term Social Human-Robot Interaction for Neurorehabilitation: Robots as a Tool to Support Gait Therapy in the Pandemic

2021 ◽  
Vol 15 ◽  
Author(s):  
Nathalia Céspedes ◽  
Denniss Raigoso ◽  
Marcela Múnera ◽  
Carlos A. Cifuentes
Keyword(s):  
Clinical Care ◽  
Human Robot Interaction ◽  
Assistive Robotics ◽  
Care Staff ◽  
Health Care Staff ◽  
Robot Interaction ◽  
Challenges And Opportunities ◽  
Term Evaluation ◽  
Gait Therapy

COVID-19 pandemic has affected the population worldwide, evidencing new challenges and opportunities for several kinds of emergent and existing technologies. Social Assistive Robotics could be a potential tool to support clinical care areas, promoting physical distancing, and reducing the contagion rate. In this context, this paper presents a long-term evaluation of a social robotic platform for gait neurorehabilitation. The robot's primary roles are monitoring physiological progress and promoting social interaction with human distancing during the sessions. A clinical validation with ten patients during 15 sessions were conducted in a rehabilitation center located in Colombia. Results showed that the robot's support improves the patients' physiological progress by reducing their unhealthy spinal posture time, with positive acceptance. 65% of patients described the platform as helpful and secure. Regarding the robot's role within the therapy, the health care staff agreed (>95%) that this tool can promote physical distancing and it is highly useful to support neurorehabilitation throughout the pandemic. These outcomes suggest the benefits of this tool to be further implemented in the pandemic.

scholarly journals Long-term evaluation of a social robot in real homes

2016 ◽  
Vol 17 (3) ◽  
pp. 461-490 ◽  
Author(s):  
Maartje M. A. de Graaf ◽  
Somaya Ben Allouch ◽  
Jan A. G. M. van Dijk
Keyword(s):  
Social Presence ◽  
Mental Image ◽  
Human Robot Interaction ◽  
Control Beliefs ◽  
Mere Exposure Effect ◽  
Robot Interaction ◽  
Exposure Effect ◽  
Term Evaluation ◽  
Interaction Research

Abstract This study aims to contribute to emerging human-robot interaction research by adding longitudinal findings to a limited number of long-term social robotics home studies. We placed 70 robots in users’ homes for a period of up to six months, and used questionnaires and interviews to collect data at six points during this period. Results indicate that users’ evaluations of the robot dropped initially, but later rose after the robot had been used for a longer period of time. This is congruent with the so-called mere-exposure effect, which shows an increasing positive evaluation of a novel stimulus once people become familiar with it. Before adoption, users focus on control beliefs showing that previous experiences with robots or other technologies allows to create a mental image of what having and using a robot in the home would entail. After adoption, users focus on utilitarian and hedonic attitudes showing that especially usefulness, social presence, enjoyment and attractiveness are important factors for long-term acceptance.

Escaping Oz: Autonomy in Socially Assistive Robotics

2019 ◽  
Vol 2 (1) ◽  
pp. 33-61 ◽  
Author(s):  
Caitlyn Clabaugh ◽  
Maja Matarić
Keyword(s):  
Design Patterns ◽  
Human Robot Interaction ◽  
Assistive Robotics ◽  
Robot Interaction ◽  
Wizard Of Oz ◽  
Socially Assistive Robotics ◽  
Special Needs Education ◽  
Engineering Practices ◽  
And Robotics

The field of socially assistive robotics (SAR) aims to supplement the efforts of clinicians, therapists, educators, and caregivers through individualized, socially mediated interventions with robots. SAR is faced with the interdisciplinary challenge to balance sensitive domain needs with current technical limitations. Many researchers in SAR and the broader human–robot interaction community overcome technical barriers by using a Wizard of Oz approach, or teleoperation of the robot or aspects of the interaction. Although Wizard of Oz is a well-established practice, it becomes intractable in critical SAR domains that require long-term, situated support, such as aging in place and special needs education. In this article, we define a set of autonomy-centric design properties for SAR interventions based on concepts from artificial intelligence and robotics. These properties structure a systematic review of the last decade of autonomous SAR research. From the review, we draw and discuss common computational methods, engineering practices, and design patterns that enable autonomy in SAR.

scholarly journals ReCOV: recovery and rehabilitation during and after COVID-19 – a study protocol of a longitudinal observational study on patients, next of kin and health care staff

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
E. Rydwik ◽  
L. Anmyr ◽  
M. Regardt ◽  
A. McAllister ◽  
R. Zarenoe ◽  
...  
Keyword(s):  
Health Care ◽  
Psychosocial Support ◽  
Care Staff ◽  
Psychological Wellbeing ◽  
Health Care Staff ◽  
Post Traumatic Stress ◽  
Next Of Kin ◽  
Related Quality ◽  
Long Term Consequences

Abstract Background The knowledge of the long-term consequences of covid-19 is limited. In patients, symptoms such as fatigue, decreased physical, psychological, and cognitive function, and nutritional problems have been reported. How the disease has affected next of kin, as well as staff involved in the care of patients with covid-19, is also largely unknown. The overall aim of this study is therefore three-fold: (1) to describe and evaluate predictors of patient recovery, the type of rehabilitation received and patients’ experiences of specialized rehabilitation following COVID-19 infection; (2) to study how next of kin experienced the hospital care of their relative and their experiences of the psychosocial support they received as well as their psychological wellbeing; (3) to describe experiences of caring for patients with COVID-19 and evaluate psychological wellbeing, coping mechanisms and predictors for development of psychological distress over time in health care staff. Methods This observational longitudinal study consists of three cohorts; patients, next of kin, and health care staff. The assessments for the patients consist of physical tests (lung function, muscle strength, physical capacity) and questionnaires (communication and swallowing, nutritional status, hearing, activities of daily living, physical activity, fatigue, cognition) longitudinally at 3, 6 and 12 months. Patient records auditing (care, rehabilitation) will be done retrospectively at 12 months. Patients (3, 6 and 12 months), next of kin (6 months) and health care staff (baseline, 3, 6, 9 and 12 months) will receive questionnaires regarding, health-related quality of life, depression, anxiety, sleeping disorders, and post-traumatic stress. Staff will also answer questionnaires about burnout and coping strategies. Interviews will be conducted in all three cohorts. Discussion This study will be able to answer different research questions from a quantitative and qualitative perspective, by describing and evaluating long-term consequences and their associations with recovery, as well as exploring patients’, next of kins’ and staffs’ views and experiences of the disease and its consequences. This will form a base for a deeper and better understanding of the consequences of the disease from different perspectives as well as helping the society to better prepare for a future pandemic.

scholarly journals Suicide by prisoners

2004 ◽  
Vol 184 (3) ◽  
pp. 263-267 ◽  
Author(s):  
Jenny Shaw ◽  
Denise Baker ◽  
Isabelle M. Hunt ◽  
Anne Moloney ◽  
Louis Appleby
Keyword(s):  
Mental Disorder ◽  
Clinical Care ◽  
National Sample ◽  
Primary Diagnosis ◽  
Care Staff ◽  
Health Care Staff ◽  
Prevention Measures ◽  
Prison Health ◽  
History Of ◽  
Clinical Survey

BackgroundThe number of suicides in prison has increased over recent years. This is the first study to describe the clinical care of a national sample of prison suicides.AimsTo describe the clinical and social circumstances of self-inflicted deaths among prisoners.MethodA national clinical survey based on a 2-year sample of self-inflicted deaths in prisoners. Detailed clinical and social information was collected from prison governors and prison health care staff.ResultsThere were 172 self-inflicted deaths: 85 (49%; 95% CI 42–57) were of prisoners on remand; 55 (32%; 95% CI 25–39) occurred within 7 days of reception into prison. The commonest method was hanging or self-strangulation (92%; 95% CI 88–96). A total of 110 (72%; 95% CI 65–79) had a history of mental disorder. The commonest primary diagnosis was drug dependence (39, 27%; 95% CI 20–35). Eighty-nine (57%; 95% CI 49–64) had symptoms suggestive of mental disorder at reception into prison.ConclusionsSuicide prevention measures should be concentrated in the period immediately following reception into prison. Because hanging is the commonest method of suicide, removal of potential ligature points from cells should be a priority.

scholarly journals Reports of the AAAI 2016 Spring Symposium Series

AI Magazine ◽  
2017 ◽  
Vol 37 (4) ◽  
pp. 83-88
Author(s):  
Christopher Amato ◽  
Ofra Amir ◽  
Joanna Bryson ◽  
Barbara Grosz ◽  
Bipin Indurkhya ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Observational Studies ◽  
Human Error ◽  
Well Being ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Symposium Series ◽  
Research Platform ◽  
Challenges And Opportunities

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.

scholarly journals “We Thought We Were Prepared, but We Were Not”: Experiences from the Management of the Psychosocial Support Response during the COVID-19 Pandemic in Sweden. A Mixed-Methods Study

2021 ◽  
Vol 18 (17) ◽  
pp. 9079
Author(s):  
Karin Hugelius ◽  
Sara Johansson ◽  
Helena Sjölin
Keyword(s):  
Health Care ◽  
Large Scale ◽  
Psychosocial Support ◽  
Care Staff ◽  
Mental Wellbeing ◽  
Health Care Staff ◽  
Line Managers ◽  
Major Incidents ◽  
Pandemic Response

This study aimed to describe experiences of managing mental health and psychosocial activities during the first six months of the COVID-19 pandemic in Sweden. A national survey was answered by a non-probability sample of 340 involved in the psychosocial response. The psychosocial response operations met several challenges, mainly related to the diverse actors involved, lack of competence, and lack of preparations. Less than 80% of the participants had received specific training in the provision of psychosocial support during major incidents. The interventions used varied, and no large-scale interventions were used. The psychosocial response organizations were overwhelmed by the needs of health care staff and failed to meet the needs of patients and family members. An efficient and durable psychosocial response in a long-term crisis requires to be structured, planned and well-integrated into the overall pandemic response. All personnel involved need adequate and specific competence in evidence-based individual and large-scale interventions to provide psychosocial support in significant incidents. By increasing general awareness of mental wellbeing and psychosocial support amongst health professionals and their first-line managers, a more resilient health care system, both in everyday life and during major incidents and disasters, could be facilitated.

scholarly journals Towards a communication model for a sociable companion robot

2021 ◽  
Author(s):  
Lauren Dwyer
Keyword(s):  
Human Robot Interaction ◽  
Communication Model ◽  
Robot Interaction ◽  
The Public ◽  
Assistive Robots ◽  
Technical Requirements ◽  
Long Term Study ◽  
Robot Evaluation ◽  
Socially Assistive Robot

Anxiety has a lifetime prevalence of 31% of Canadians (Katzman et al. 2014). In Canada, psychological services are only covered by provincial health insurance if the psychologist is employed in the public sector; this means long wait times in the public system or expensive private coverage (Canadian Psychological Association). Currently, social robots and Socially Assistive Robots (SAR) are used in the treatment of elderly individuals in nursing homes, as well as children with autism (Feil-Seifer & Matarić, 2011; Tapus et al., 2012). The following MRP is the first step in a long-term project that will contend with the issues faced by individuals with anxiety using a combined communications, social robotics, and mental health approach to develop an anxiety specific socially assistive robot companion. The focus of this MRP is the development of a communication model that includes three core aspects of a social robot companion: Human-Robot Interaction (HRI), anxiety disorders, and technical design. The model I am developing will consist of a series of suggestions for the robot that could be implemented in a long-term study. The model will include suggestions towards the design, communication means, and technical requirements, as well as a model for evaluating the robot from a Human-Robot- Interaction perspective. This will be done through an evaluation of three robots, Sphero’s BB-8 App Enabled Droid, Aldebaran’s Nao, and the Spin Master Zoomer robot. Evaluation measures include modified versions of Shneiderman’s (1992) evaluation of human-factors goals, Feil-Seifer et al.’s (2007) SAR evaluative questions, prompts for the description of both the communication methods and the physical characteristics, and a record of the emotional response of the user when interacting with the robot.

scholarly journals Towards a communication model for a sociable companion robot

2021 ◽  
Author(s):  
Lauren Dwyer
Keyword(s):  
Human Robot Interaction ◽  
Communication Model ◽  
Robot Interaction ◽  
The Public ◽  
Assistive Robots ◽  
Technical Requirements ◽  
Long Term Study ◽  
Robot Evaluation ◽  
Socially Assistive Robot

Anxiety has a lifetime prevalence of 31% of Canadians (Katzman et al. 2014). In Canada, psychological services are only covered by provincial health insurance if the psychologist is employed in the public sector; this means long wait times in the public system or expensive private coverage (Canadian Psychological Association). Currently, social robots and Socially Assistive Robots (SAR) are used in the treatment of elderly individuals in nursing homes, as well as children with autism (Feil-Seifer & Matarić, 2011; Tapus et al., 2012). The following MRP is the first step in a long-term project that will contend with the issues faced by individuals with anxiety using a combined communications, social robotics, and mental health approach to develop an anxiety specific socially assistive robot companion. The focus of this MRP is the development of a communication model that includes three core aspects of a social robot companion: Human-Robot Interaction (HRI), anxiety disorders, and technical design. The model I am developing will consist of a series of suggestions for the robot that could be implemented in a long-term study. The model will include suggestions towards the design, communication means, and technical requirements, as well as a model for evaluating the robot from a Human-Robot- Interaction perspective. This will be done through an evaluation of three robots, Sphero’s BB-8 App Enabled Droid, Aldebaran’s Nao, and the Spin Master Zoomer robot. Evaluation measures include modified versions of Shneiderman’s (1992) evaluation of human-factors goals, Feil-Seifer et al.’s (2007) SAR evaluative questions, prompts for the description of both the communication methods and the physical characteristics, and a record of the emotional response of the user when interacting with the robot.

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.

scholarly journals Multiscale Entropy Quantifies the Differential Effect of the Medium Embodiment on Older Adults Prefrontal Cortex during the Story Comprehension: A Comparative Analysis

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 199 ◽  
Author(s):  
Soheil Keshmiri ◽  
Hidenobu Sumioka ◽  
Ryuji Yamazaki ◽  
Hiroshi Ishiguro
Keyword(s):  
Prefrontal Cortex ◽  
Interactive Media ◽  
Human Robot Interaction ◽  
Assistive Robotics ◽  
Multiscale Entropy ◽  
Story Comprehension ◽  
Complementary Information ◽  
Robot Interaction ◽  
Activation Patterns ◽  
Age Related

Todays’ communication media virtually impact and transform every aspect of our daily communication and yet the extent of their embodiment on our brain is unexplored. The study of this topic becomes more crucial, considering the rapid advances in such fields as socially assistive robotics that envision the use of intelligent and interactive media for providing assistance through social means. In this article, we utilize the multiscale entropy (MSE) to investigate the effect of the physical embodiment on the older people’s prefrontal cortex (PFC) activity while listening to stories. We provide evidence that physical embodiment induces a significant increase in MSE of the older people’s PFC activity and that such a shift in the dynamics of their PFC activation significantly reflects their perceived feeling of fatigue. Our results benefit researchers in age-related cognitive function and rehabilitation who seek for the adaptation of these media in robot-assistive cognitive training of the older people. In addition, they offer a complementary information to the field of human-robot interaction via providing evidence that the use of MSE can enable the interactive learning algorithms to utilize the brain’s activation patterns as feedbacks for improving their level of interactivity, thereby forming a stepping stone for rich and usable human mental model.

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