An exploration of factors influencing human responses to short term interaction with a pet robot

Past research has found that intervention with Paro, a seal robot, on healthy adults can improve psychophysiological responses (Mitsui et al. 2001a,b, Kawaguchi et al. 2012). According to Bethel & Murphy (2010), psychophysiological study focuses on understanding human emotion and behaviour during an event through observation, physiological and psychological measures. However, these previous studies of Paro were limited by small participant sizes (less than 10 participants), and did not investigate the effectiveness of Paro in reducing stress such as environmental stress. Furthermore, little is known about the circumstances in which interacting with Paro can help to reduce stress as indicated by changes in psychophysiological responses. Three studies were conducted in laboratory settings, in order to limit any extraneous variables that can affect the psychophysiological responses. This thesis aims to identify factors that can influence psychophysiological responses to short-term interaction with a Paro in the healthy adult population. It also aims to understand how the factors affect the effectiveness of Paro intervention in reducing effects of stress. The psychophysiological responses were measured using self-reports, physiological sensors (skin conductance responses, heart rate, and heart rate variability) and video recording. The stress used in this thesis is induced environmental noise. A study was conducted (n = 76) to explore which features of Paro (active and inactive) and of human behaviour towards the robot (talking and stroking) were responsible for any effects it creates. It was found that interacting with Paro aroused skin conductance responses and its presence during the intervention increased positive moods. At the same time, the positive moods influenced the effectiveness of the Paro intervention in reducing stress. A subsequent study (n = 104) compared the effects of interacting with an active Paro with the effects of stroking a furry bolster, and explored the stress reducing effect of Paro intervention as a pre-stress treatment. The novelty effect of Paro in the intervention was also investigated. It was found that the Paro intervention was not enough to minimize and reduce the impact of induced stress. However, there was a trend that suggests the Paro intervention has more impact in lessening the stress than the bolster intervention as indicated by improvements in physiological responses (such as heart rate and heart rate variability). At the same time, it was found that novelty affected how participants interacted with the Paro (based on video observation during the intervention), but did not change the positive effect of the Paro intervention. A final study (n = 104) explored two intervention formats: either Paro or bolster as preand post-stress intervention. This study also explored the effectiveness of Paro or bolster intervention using a mathematical task. It was found that the Paro intervention was more suitable as a post-stress intervention, as suggested by improvement in physiological responses (heart rate and heart rate variability). However, no improvement in math performance was found in either Paro or bolster interventions. Additionally, in this study and Study 2, the bolster intervention showed the importance of stroking soft fur in reducing stress and negative moods. There are five key findings of this thesis: Large samples of data were obtained from (i) healthy young adults (n = 284). Paro intervention is more effective as (ii) post-stress treatment, in terms of reducing effects of (iii) induced environmental stress in (iv) healthy adults. The thesis also found (v) factors that influenced the changes in psychophysiological responses and the effectiveness of Paro interventions such as stressors and intervention formats

Infection prevention and control challeneges of using a therapeutic robot

This work was part of a National Institute for Health Research participatory action research and practice development study, which focused on the use of a therapeutic, robotic baby seal (PARO, for personal assistive robot) in everyday practice in a single-site dementia unit in Sussex. From the beginning of January 2017 until the end of September 2017, the cleaning and cleanliness of PARO was monitored through a service audit process that focused on the cleaning, amount of use and testing of contamination of PARO being used in everyday clinical practice with individuals and in group sessions. Its use and cleaning followed protocols developed by the study team, which incorporated hand hygiene and standard precaution policies. Its cleanliness was determined using an adenosine triphosphate (ATP) luminometer, with a benchmark of 50 relative light units (RLU). A reading of ATP below 50RLU is the level of cleanliness recommended for social areas in hospital settings. Throughout the study period, monitoring showed that all swab zones on PARO were within the benchmark of the 50RLU threshold for cleanliness. PARO has an emerging evidence base as a useful therapeutic device. However, introducing such devices into clinical practice may encounter barriers or concerns from an infection prevention and control (IPC) perspective. This study of PARO in clinical practice aims to address the IPC concerns raised and offers cleaning and testing protocols and results

Tecnologia assistiva para crianças com transtorno do espectro autista que vivenciam estresse e ansiedade

With the development of current technology and influences that have been made by the Industry 4.0 utilizing ICTs, IoT, smart systems and products and many others, Assistive Technology (AT) is an important and integral part of the daily life of many people who experience disabilities. Autism Spectrum Disorder (ASD) is a special category of disorder that can greatly benefit from its use. The purpose of this research is to collect data of Assistive Technology aimed at the detection, prevention and improvement of anxiety and stress (a characteristic of which has been proven to exist and is expressed in various ways in people with ASD). In the introduction, basic definitions regarding the neurobiology of stress and ASD are analyzed. In the main part AT, stress and anxiety correlations are made with ASD and AT devices are described and documented regarding their use for anxiety and stress in children and adolescents with ASD. The Assistive equipment and devices are divided into 2 main categories, 1) Low-tech and 2) Mid-High tech. The results of the research reveal a significant research gap in the use of AT to combat stress and anxiety and the difficulty of many promising options (especially in the domain of Mid-High tech) to be an easy and economical solution in integrating them into the daily life of people with ASD.Con el desarrollo de la tecnología actual y las influencias que ha tenido la Industria 4.0 utilizando TIC, IoT, sistemas y productos inteligentes y muchos otros, la Tecnología de asistencia (TA) es una parte importante e integral de la vida diaria de muchas personas que sufren de discapacidad. . . El trastorno del espectro autista (TEA) es una categoría especial de trastorno que puede beneficiarse enormemente de su uso. El objetivo de esta investigación es recopilar datos de Tecnología Asistiva dirigidos a detectar, prevenir y mejorar la ansiedad y el estrés (una característica que está comprobada y se expresa de diferentes formas en las personas con TEA). En la introducción se analizan definiciones básicas sobre la neurobiología del estrés y el TEA. En su mayor parte se realizan correlaciones de TA, estrés y ansiedad con los TEA y se describen y documentan los dispositivos de TA en relación a su uso para la ansiedad y el estrés en niños y adolescentes con TEA. Los equipos y dispositivos de asistencia se dividen en 2 categorías principales, 1) Tecnología baja y 2) Tecnología media-alta. Los resultados de la encuesta revelan una importante brecha de investigación en el uso de TA para combatir el estrés y la ansiedad y la dificultad de que muchas opciones prometedoras (especialmente en el dominio tecnológico medio-alto) sean una solución fácil y rentable para integrarlas en la vida cotidiana. de personas con TEA.Com o desenvolvimento da tecnologia atual e as influências que foram feitas pela Indústria 4.0 utilizando TICs, IoT, sistemas e produtos inteligentes e muitos outros, a Tecnologia Assistiva (TA) é uma parte importante e integrante da vida diária de muitas pessoas que sofrem de deficiência. O Transtorno do Espectro do Autismo (TEA) é uma categoria especial de transtorno que pode se beneficiar muito com seu uso. O objetivo desta pesquisa é coletar dados de Tecnologia Assistiva voltados para a detecção, prevenção e melhora da ansiedade e do estresse (característica que comprovadamente existe e se expressa de diversas formas em pessoas com TEA). Na introdução, são analisadas definições básicas sobre a neurobiologia do estresse e do TEA. Na parte principal, são feitas correlações de TA, estresse e ansiedade com ASD e dispositivos de TA são descritos e documentados em relação ao seu uso para ansiedade e estresse em crianças e adolescentes com TEA. Os equipamentos e dispositivos assistivos são divididos em 2 categorias principais, 1) Low-tech e 2) Mid-High tech. Os resultados da pesquisa revelam uma lacuna significativa de pesquisa no uso de TA para combater o estresse e a ansiedade e a dificuldade de muitas opções promissoras (especialmente no domínio da tecnologia média-alta) serem uma solução fácil e econômica em integrá-las ao cotidiano de pessoas com TEA

Calming Effects of Touch in Human, Animal, and Robotic Interaction—Scientific State-of-the-Art and Technical Advances

Small everyday gestures such as a tap on the shoulder can affect the way humans feel and act. Touch can have a calming effect and alter the way stress is handled, thereby promoting mental and physical health. Due to current technical advances and the growing role of intelligent robots in households and healthcare, recent research also addressed the potential of robotic touch for stress reduction. In addition, touch by non-human agents such as animals or inanimate objects may have a calming effect. This conceptual article will review a selection of the most relevant studies reporting the physiological, hormonal, neural, and subjective effects of touch on stress, arousal, and negative affect. Robotic systems capable of non-social touch will be assessed together with control strategies and sensor technologies. Parallels and differences of human-to-human touch and human-to-non-human touch will be discussed. We propose that, under appropriate conditions, touch can act as (social) signal for safety, even when the interaction partner is an animal or a machine. We will also outline potential directions for future research and clinical relevance. Thereby, this review can provide a foundation for further investigations into the beneficial contribution of touch by different agents to regulate negative affect and arousal in humans

Healthcare Robotics

Robots have the potential to be a game changer in healthcare: improving health and well-being, filling care gaps, supporting care givers, and aiding health care workers. However, before robots are able to be widely deployed, it is crucial that both the research and industrial communities work together to establish a strong evidence-base for healthcare robotics, and surmount likely adoption barriers. This article presents a broad contextualization of robots in healthcare by identifying key stakeholders, care settings, and tasks; reviewing recent advances in healthcare robotics; and outlining major challenges and opportunities to their adoption.Comment: 8 pages, Communications of the ACM, 201

A Review on Usability and User Experience of Assistive Social Robots for Older Persons

In the advancement of human-robot interaction technology, assistive social robots have been recognized as one of potential technologies that can provide physical and cognitive supports in older persons care. However, a major challenge faced by the designers is to develop an assistive social robot with prodigious usability and user experience for older persons who were known to have physical and cognitive limitations. A considerable number of published literatures was reporting on the technological design process of assistive social robots. However, only a small amount of attention has been paid to review the usability and user experience of the robots. The objective of this paper is to provide an overview of established researches in the literatures concerning usability and user experience issues faced by the older persons when interacting with assistive social robots. The authors searched relevant articles from the academic databases such as Google Scholar, Scopus and Web of Science as well as Google search for the publication period 2000 to 2021. Several search keywords were typed such as ‘older persons’ ‘elderly’, ‘senior citizens’, ‘assistive social robots’, ‘companion robots’, ‘personal robots’, ‘usability’ and ‘user experience’. This online search found a total of 215 articles which are related to assistive social robots in elderly care. Out of which, 54 articles identified as significant references, and they were examined thoroughly to prepare the main content of this paper. This paper reveals usability issues of 28 assistive social robots, and feedbacks of user experience based on 41 units of assistive social robots. Based on the research articles scrutinized, the authors concluded that the key elements in the design and development of assistive social robots to improve acceptance of older persons were determined by three factors: functionality, usability and users’ experience. Functionality refers to ability of robots to serve the older persons. Usability is ease of use of the robots. It is an indicator on how successful of interaction between the robots and the users. To improve usability, robot designers should consider the limitations of older persons such as vision, hearing, and cognition capabilities when interacting with the robots. User experience reflects to perceptions, preferences and behaviors of users that occur before, during and after use the robots. Combination of superior functionality and usability lead to a good user experience in using the robots which in the end achieves satisfaction of older persons

A Review on Usability and User Experience of Assistive Social Robots for Older Persons

In the advancement of human-robot interaction technology, assistive social robots have been recognized as one of potential technologies that can provide physical and cognitive supports in older persons care. However, a major challenge faced by the designers is to develop an assistive social robot with prodigious usability and user experience for older persons who were known to have physical and cognitive limitations. A considerable number of published literatures was reporting on the technological design process of assistive social robots. However, only a small amount of attention has been paid to review the usability and user experience of the robots. The objective of this paper is to provide an overview of established researches in the literatures concerning usability and user experience issues faced by the older persons when interacting with assistive social robots. The authors searched relevant articles from the academic databases such as Google Scholar, Scopus and Web of Science as well as Google search for the publication period 2000 to 2021. Several search keywords were typed such as ‘older persons’ ‘elderly’, ‘senior citizens’, ‘assistive social robots’, ‘companion robots’, ‘personal robots’, ‘usability’ and ‘user experience’. This online search found a total of 215 articles which are related to assistive social robots in elderly care. Out of which, 54 articles identified as significant references, and they were examined thoroughly to prepare the main content of this paper. This paper reveals usability issues of 28 assistive social robots, and feedbacks of user experience based on 41 units of assistive social robots. Based on the research articles scrutinized, the authors concluded that the key elements in the design and development of assistive social robots to improve acceptance of older persons were determined by three factors: functionality, usability and users’ experience. Functionality refers to ability of robots to serve the older persons. Usability is ease of use of the robots. It is an indicator on how successful of interaction between the robots and the users. To improve usability, robot designers should consider the limitations of older persons such as vision, hearing, and cognition capabilities when interacting with the robots. User experience reflects to perceptions, preferences and behaviors of users that occur before, during and after use the robots. Combination of superior functionality and usability lead to a good user experience in using the robots which in the end achieves satisfaction of older persons

Oxytocin levels and self-reported anxiety during interactions between humans and cows

Introduction: Positive social interactions with farm animals may have therapeutic benefits on humans by increasing brain oxytocin secretion, as inferred from circulating oxytocin levels. The aim of this observational study was to investigate acute changes in human plasma oxytocin levels and state anxiety associated with interactions with dairy cows. Methods: Data were collected from 18 healthy female nursing students who performed stroking and brushing of an unfamiliar cow for 15 min. Blood samples were drawn before entering the cowshed (T1, baseline), and after 5 (T2) and 15 (T3) min of interaction with a cow. At T1 and T3, the students filled out the Norwegian version of the Spielberger State-Trait Anxiety Inventory-State Subscale (STAI-SS). Results: Across participants, no significant changes in average plasma oxytocin concentration were detected between time points (p>0.05). There was, however, a modest decline in the STAI-SS scores between T1 and T3 (p=0.015) and a positive correlation between the change in individual level of state anxiety between T1 and T3 and the change in OT concentration of the same individual between T2 and T3 (p = 0.045). Discussion: The results suggest that friendly social interactions with cows are beneficial in lowering state anxiety, but any relationship with release of OT into the circulation was complex and variable across individuals. The acute reduction in state anxiety lends support to the value of interacting with farm animals in the context of Green Care for people with mental health challenges

Accessible Integration of Physiological Adaptation in Human-Robot Interaction

Technological advancements in creating and commercializing novel unobtrusive wearable physiological sensors have generated new opportunities to develop adaptive human-robot interaction (HRI). Detecting complex human states such as engagement and stress when interacting with social agents could bring numerous advantages to creating meaningful interactive experiences. Bodily signals have classically been used for post-interaction analysis in HRI. Despite this, real-time measurements of autonomic responses have been used in other research domains to develop physiologically adaptive systems with great success; increasing user-experience, task performance, and reducing cognitive workload. This thesis presents the HRI Physio Lib, a conceptual framework, and open-source software library to facilitate the development of physiologically adaptive HRI scenarios. Both the framework and architecture of the library are described in-depth, along with descriptions of additional software tools that were developed to make the inclusion of physiological signals easier for robotics frameworks. The framework is structured around four main components for designing physiologically adaptive experimental scenarios: signal acquisition, processing and analysis; social robot and communication; and scenario and adaptation. Open-source software tools have been developed to assist in the individual creation of each described component. To showcase our framework and test the software library, we developed, as a proof-of-concept, a simple scenario revolving around a physiologically aware exercise coach, that modulates the speed and intensity of the activity to promote an effective cardiorespiratory exercise. We employed the socially assistive QT robot for our exercise scenario, as it provides a comprehensive ROS interface, making prototyping of behavioral responses fast and simple. Our exercise routine was designed following guidelines by the American College of Sports Medicine. We describe our physiologically adaptive algorithm and propose an alternative second one with stochastic elements. Finally, a discussion about other HRI domains where the addition of a physiologically adaptive mechanism could result in novel advances in interaction quality is provided as future extensions for this work. From the literature, we identified improving engagement, providing deeper social connections, health care scenarios, and also applications for self-driving vehicles as promising avenues for future research where a physiologically adaptive social robot could improve user experience

Beyond mobile apps: a survey of technologies for mental well-being

Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma, structural barriers such as financial burden, and lack of available services and resources which often prohibit the delivery of frequent clinical advice and monitoring. Technologies for mental well-being exhibit a range of attractive properties, which facilitate the delivery of state-of-the-art clinical monitoring. This review article provides an overview of traditional techniques followed by their technological alternatives, sensing devices, behaviour changing tools, and feedback interfaces. The challenges presented by these technologies are then discussed with data collection, privacy, and battery life being some of the key issues which need to be carefully considered for the successful deployment of mental health toolkits. Finally, the opportunities this growing research area presents are discussed including the use of portable tangible interfaces combining sensing and feedback technologies. Capitalising on the data these ubiquitous devices can record, state of the art machine learning algorithms can lead to the development of robust clinical decision support tools towards diagnosis and improvement of mental well-being delivery in real-time