Longitudinal Diary Data: Six Months Real-world Implementation of Affordable Companion Robots for Older People in Supported Living

Companion robots have potential for improving wellbeing within aged care, however literature focuses on shorter-term studies often using relatively expensive platforms, raising concerns around novelty effects and economic viability. Here, we report ecologically valid diary data from two supported living facilities for older people with dementia or learning difficulties. Both sites implemented Joy for All robot animals and maintained diaries for six months. Entries were analysed using thematic analysis. We found robot use increased over the six months, changing from short, structured sessions to mainly permanent availability. Thus previously reported concerns on novelty were not warranted. Both sites reported positive outcomes including reminiscence, improved communication and potential wellbeing benefits (reduced agitation/anxiety). Incidences of negative response included devices described as ‘creepy.’ Devices appeared sufficiently robust for prolonged daily use with multiple users. Overall, we provide insight into real-world implementation of affordable companion robots, and longitudinal development of use

Longitudinal diary data: Six months real-world implementation of affordable companion robots for older people in supported living

Companion robots have potential for improving wellbeing within aged care, however literature focuses on shorter-term studies often using relatively expensive platforms, raising concerns around novelty effects and economic viability. Here, we report ecologically valid diary data from two supported living facilities for older people with dementia or learning difficulties. Both sites implemented Joy for All robot animals and maintained diaries for six months. Entries were analysed using thematic analysis. We found robot use increased over the six months, changing from short, structured sessions to mainly permanent availability. Thus previously reported concerns on novelty were not warranted. Both sites reported positive outcomes including reminiscence, improved communication and potential wellbeing benefits (reduced agitation/anxiety). Incidences of negative responses included devices described as 'creepy.' Devices appeared sufficiently robust for prolonged daily use with multiple users. Overall, we provide insight into real-world implementation of affordable companion robots, and longitudinal development of use

On the Margins of the Machine: Heteromation and Robotics

Growing interest in robotics in policy and professional circles promises a future where machines will perform many of the social and institutional functions that have traditionally belonged to human beings. This promise is based on the unexamined premise that robots can act autonomously, without much support from their human users. Close examination of current social robots, however, introduces a different image, where human labor is critically needed for any meaningful operation of these systems. Such labor is normally unacknowledged and made invisible in media and academic portrayals of robotic systems. We take issue with this erasure, and seek to bring human labor to the fore. Drawing on the concept of “heteromation,” we illustrate the indispensible role of human labor in the functioning of many of the existing technological systems. Given current uncertainties in the robotic design space, we explore various scenarios for the future development of these systems, and the different ways by which they might unfold.ye

Robot companion cats for people at home with dementia: a qualitative case study on companotics

The use of robot companion pets for people in care homes has been extensively studied. The results are largely positive, and suggest that they are valuable in enhancing wellbeing, communication and behavioural aspects. However, there has been little research in people’s own homes, possibly due to the cost and complexity of some of the robot pets currently available. As dementia affects people in different ways, this study explores the effects of a robot cat for people in their own homes, without specifically investigating the effects on a particular symptom. We utilised a case study design to investigate the proposition that various factors influence the impact of a robot cat on the person living with dementia and their carer, including acceptability of the robot pet and acceptance of dementia and its symptoms. The qualitative analysis explores the similarities and differences within the data which were gathered during interviews with people with dementia and their families. This analysis revealed four themes: Distraction, Communication, Acceptance and rejection, and Connecting with the cat and connecting with others. These themes were synthesized into two overarching themes: The effect of the cat on mood and behaviour, and The interaction with the cat. We present the acceptability and impact of the robot cat on symptoms of dementia, with data presented across and within the group of participants. Our analysis suggests that benefits of the robot pet were evident, and although this was a small-scale study, where they were accepted, robot pets provided positive outcomes for the participants and their families

Robot companion cats for people at home with dementia: A qualitative case study on companotics

Pike J., Picking R., & Cunningham S. (2021). Robot companion cats for people at home with dementia: A qualitative case study on companotics. Dementia, 20(4), 1300-1318. Copyright © [2021] (The Authors). Reprinted by permission of SAGE Publications.The use of robot companion pets for people in care homes has been extensively studied. The results are largely positive and suggest that they are valuable in enhancing wellbeing, communication and behavioural aspects. However, there has been little research in people’s own homes, possibly due to the cost and complexity of some of the robot pets currently available. As dementia affects people in different ways, this study explores the effects of a robot cat for people in their own homes, without specifically investigating the effects on a particular symptom. We utilised a case study design to investigate the proposition that various factors influence the impact of a robot cat on the person living with dementia and their carer, including acceptability of the robot pet and acceptance of dementia and its symptoms. The qualitative analysis explores the similarities and differences within the data which were gathered during interviews with people with dementia and their families. This analysis revealed four themes: Distraction, Communication, Acceptance and rejection, and Connecting with the cat and connecting with others. These themes were synthesised into two overarching themes: the effect of the cat on mood and behaviour, and The interaction with the cat. We present the acceptability and impact of the robot cat on symptoms of dementia, with data presented across and within the group of participants. Our analysis suggests that benefits of the robot pet were evident, and although this was a small-scale study, where they were accepted, robot pets provided positive outcomes for the participants and their families

Robotic Faces: Exploring Dynamical Patterns of Social Interaction between Humans and Robots

Thesis (Ph.D.) - Indiana University, Informatics, 2015The purpose of this dissertation is two-fold: 1) to develop an empirically-based design for an interactive robotic face, and 2) to understand how dynamical aspects of social interaction may be leveraged to design better interactive technologies and/or further our understanding of social cognition. Understanding the role that dynamics plays in social cognition is a challenging problem. This is particularly true in studying cognition via human-robot interaction, which entails both the natural social cognition of the human and the “artificial intelligence” of the robot. Clearly, humans who are interacting with other humans (or even other mammals such as dogs) are cognizant of the social nature of the interaction – their behavior in those cases differs from that when interacting with inanimate objects such as tools. Humans (and many other animals) have some awareness of “social”, some sense of other agents. However, it is not clear how or why. Social interaction patterns vary across culture, context, and individual characteristics of the human interactor. These factors are subsumed into the larger interaction system, influencing the unfolding of the system over time (i.e. the dynamics). The overarching question is whether we can figure out how to utilize factors that influence the dynamics of the social interaction in order to imbue our interactive technologies (robots, clinical AI, decision support systems, etc.) with some "awareness of social", and potentially create more natural interaction paradigms for those technologies. In this work, we explore the above questions across a range of studies, including lab-based experiments, field observations, and placing autonomous, interactive robotic faces in public spaces. We also discuss future work, how this research relates to making sense of what a robot "sees", creating data-driven models of robot social behavior, and development of robotic face personalities

Between Fear and Trust: Factors Influencing Older Adults' Evaluation of Socially Assistive Robots

Socially Assistive Robots (SARs) are expected to support autonomy, aging in place, and wellbeing in later life. For successful assimilation, it is necessary to understand factors affecting older adults Quality Evaluations (QEs) of SARs, including the pragmatic and hedonic evaluations and overall attractiveness. Previous studies showed that trust in robots significantly enhances QE, while technophobia considerably decreases it. The current study aimed to examine the relative impact of these two factors on older persons QE of SARs. The study was based on an online survey of 384 individuals aged 65 and above. Respondents were presented with a video of a robotic system for physical and cognitive training and filled out a questionnaire relating to that system. The results indicated a positive association between trust and QE and a negative association between technophobia and QE. A simultaneous exploration demonstrated that the relative impact of technophobia is significantly more substantial than that of trust. In addition, the pragmatic qualities of the robot were found to be more crucial to its QE than the social aspects of use. The findings suggest that implementing robotics technology in later life strongly depends on reducing older adults technophobia regarding the convenience of using SARs and highlight the importance of simultaneous explorations of facilitators and inhibitors

Qualitative Research in HRI: A Review and Taxonomy

The field of human–robot interaction (HRI) is young and highly inter-disciplinary, and the approaches, standards and methods proper to it are still in the process of negotiation. This paper reviews the use of qualitative methods and approaches in the HRI literature in order to contribute to the development of a foundation of approaches and methodologies for these new research areas. In total, 73 papers that use qualitative methods were systematically reviewed. The review reveals that there is widespread use of qualitative methods in HRI, but very different approaches to reporting on it, and high variance in the rigour with which the approaches are applied. We also identify the key qualitative methods used. A major contribution of this paper is a taxonomy categorizing qualitative research in HRI in two dimensions: by ’study type’ and based on the specific qualitative method use

iRobot : conceptualising SERVBOT for humanoid social robots

Services are intangible in nature and, as a result, it is often difficult to measure the quality of the service. The service is usually delivered by a human to a human customer and the service literature shows SERVQUAL can be used to measure the quality of the service. However, the use of social robots during the pandemic is speeding up the process of employing social roots in frontline service settings. An extensive review of the literature shows there is a lack of an empirical model to assess the perceived service quality provided by a social robot. Furthermore, the social robot literature highlights key differences between human service and social robots. For example, scholars have highlighted the importance of entertainment and engagement in the adoption of social robots in the service industry. However, it is unclear whether the SERVQUAL dimensions are appropriate to measure social robots’ service quality. This master’s project will conceptualise the SERVBOT model to assess a social robot’s service quality. It identifies reliability, responsiveness, assurance, empathy, and entertainment as the five dimensions of SERVBOT. Further, the research will investigate how these five factors influence emotional and social engagement and intention to use the social robot in a concierge service setting. To conduct the research, a 2 x 1 (CONTROL vs SERVBOT) x (Concierge) between-subject experiment was undertaken and a total of 232 responses were collected for both stages. The results indicate that entertainment has a positive influence on emotional engagement when service is delivered by a human concierge. Further, assurance had a positive influence on social engagement when a human concierge provided the service. When a social robot concierge delivered the service, empathy and entertainment both influenced emotional engagement, and assurance and entertainment impacted social engagement favourably. For both CONTROL (human concierge) and SERVBOT (social robot concierge), emotional and social engagement had a significant influence on intentions to use. This study is the first to propose the SERVBOT model to measure social robots’ service quality. The model provides a theoretical underpinning on the key service quality dimensions of a social robot and gives scholars and managers a method to track the service quality of a social robot. The study also extends the literature by exploring the key factors that influence the use of social robots (i.e., emotional and social engagement)