Can robots tackle late-life loneliness? : Scanning of future opportunities and challenges in assisted living facilities

This future-oriented study examines the opportunities and challenges offered by social robots and communication technology when aiming to decrease emotional and social loneliness in older people residing in assisted living (AL). The paper draws on prior literature on loneliness, elder care and social robots. The aim is to scan the futures regarding technology support for the frail older people in future AL. The analytical frame was built on Robert Weiss’ division of relational functions: attachment, social integration, opportunity for nurturance, reassurance of worth, sense of reliable alliance, and guidance in stressful situations, and on a distinction between direct and indirect social robots. Our examinations show that social robots could tackle both emotional and social loneliness in assisted living by empowering people to engage in different forms of social interaction inside and outside the facility. However, ethical concerns of objectification, lack of human contact, and deception need to be thoroughly considered when implementing social robots in care for frail older people.Peer reviewe

Toward Abiozoomorphism in Social Robotics? Discussion of a New Category between Mechanical Entities and Living Being

Social robotics designed to enhance anthropomorphism and zoomorphism seeks to evoke feelings of empathy and other positive emotions in humans. While it is difficult to treat these machines as mere artefacts, the simulated lifelike qualities of robots easily lead to misunderstandings that the machines could be intentional. In this post-anthropocentrically positioned article, we look for a solution to the dilemma by developing a novel concept, “abiozoomorphism.” Drawing on Donna Haraway’s conceptualization of companion species, we address critical aspects of why robots should not be categorized with animals by showing that the distinction between nonliving beings and living beings is still valid. In our phenomenologically informed approach to social robotics, we propose that the concept of abiozoomorphism makes it possible to transcend the strong ethos of biotism that prevails in both robot design and academic research on social robots.acceptedVersionPeer reviewe

Neuroscience, Artificial Intelligence, and the Case Against Solitary Confinement

Prolonged solitary confinement remains in widespread use in the United States despite many legal challenges. A difficulty when making the legal case against solitary confinement is proffering sufficiently systematic and precise evidence of the detrimental effects of the practice on inmates\u27 mental health. Given this need for further evidence, this Article explores how neuroscience and artificial intelligence (AI) might provide new evidence of the effects of solitary confinement on the human brain. This Article argues that both neuroscience and AI are promising in their potential ability to present courts with new types of evidence on the effects of solitary confinement on inmates\u27 brain circuitry. But at present, neither field has collected the type of evidence that is likely to tip the scales against solitary confinement and end the practice. This Article concludes that ending the entrenched practice of solitary confinement will likely require both traditional and novel forms of evidence. In exploring the potential effects of neuroscientific evidence on support for solitary confinement, the Article reports results from an Associate Professor of Law and McKnight Presidential Fellow, University original online experiment with a group of 250 ideologically conservative participants. The analysis finds that the introduction of brain injury reduced conservatives\u27 support for solitary confinement but not to the extent that is likely to make a policy impact. The Article argues that future, more individualized brain evidence may be of greater use, but at present neuroscience is limited in its ability to systematically measure the brain changes that inmates experience in solitary confinement. This Article then turns to AI and argues that it could be developed to provide litigators and inmates with the ability to more effectively document the detrimental effects of solitary confinement. Looking to the future, the Article lays out a vision for an AI system called Helios, named after the Homeric sun god believed to see and hear everything. The Article envisions Helios as a self-learning AI system with a mission to help inmates and their attorneys gather more systematic evidence of the effects of solitary confinement on inmate health. Helios is also a platform on which additional inmate services might one day be provided. The Article describes how Helios must be carefully designed, with particular attention given to privacy concerns. This Article is organized in seven parts. Part I describes the historical and contemporary use of solitary confinement in the United States, highlighting the known effects of solitary confinement on inmates. Part II summarizes recent constitutional challenges to the practice of solitary confinement. Part III explores the potential for integrating neuroscientific evidence into these legal challenges to solitary confinement. Part IV discusses a new online experiment to explore whether neuroscience might change public opinion on solitary confinement. In Part V, the Article transitions to a consideration of AI. The Article proposes a self-learning system, Helios, and describes how the system would operate. Part VI turns to a series of challenging ethical and legal questions about the design and implementation of Helios. Part VII briefly concludes

Independent Aging with the Help of Smart Technology:Investigating the Acceptance of Ambient Assisted Living Technologies

Who takes care of our older adults? According to the European Union, smart technologies that support independent living and active aging, introduced as ‘Ambient Assisted Living’ (AAL), are the future for our aging population. Promises of AAL include saving long-term care costs, improving the quality of care, unburdening family caregivers, and increasing the older adults’ independence and overall quality of life. While the policy enthusiasm for AAL technology is high, it is unclear if the potential users of AAL are willing to embrace AAL technologies in their daily lives. This dissertation addressed this issue by focusing on the perspective of older adults and their caregivers. Using a combination of qualitative and quantitative approaches, we developed a comprehensive and theoretically grounded understanding of how and why users perceive AAL technologies in a certain way. Important factors that drive or hinder the acceptance were identified. These insights resulted in a model of AAL acceptance that was validated in a representative sample (n = 1296) of the Dutch older adult population. This dissertation contributes to a more user-driven approach in AAL research and development and has important implications for researchers, developers and policy makers alike. We hope that our results will guide future research efforts, design and policy directions in the AAL field

Aging between Participation and Simulation

This publication aims to initiate an interdisciplinary discourse on the ethical, legal, and social implications of socially assistive technologies in healthcare. It combines practically relevant insights and examples from current research and development with ethical analysis to uncover moral pitfalls at the intersection between the promotion of social participation and well-being, and risks that may diminish the achievement of these ends

Advances in Human-Robot Interaction

Rapid advances in the field of robotics have made it possible to use robots not just in industrial automation but also in entertainment, rehabilitation, and home service. Since robots will likely affect many aspects of human existence, fundamental questions of human-robot interaction must be formulated and, if at all possible, resolved. Some of these questions are addressed in this collection of papers by leading HRI researchers

Aging between Participation and Simulation

This publication aims to initiate an interdisciplinary discourse on the ethical, legal, and social implications of socially assistive technologies in healthcare. It combines practically relevant insights and examples from current research and development with ethical analysis to uncover moral pitfalls at the intersection between the promotion of social participation and well-being, and risks that may diminish the achievement of these ends

Motions with Emotions? : A Phenomenological Approach to Understanding the Simulated Aliveness of a Robot Body

This article examines how the interactive capabilities of companion robots, particularly their materiality and animate movements, appeal to human users and generate an image of aliveness. Building on Husserl’s phenomenological notion of a ‘double body’ and theories of emotions as affective responses, we develop a new understanding of the robots’ simulated aliveness. Analyzing empirical findings of a field study on the use of the robot Zora in care homes for older people, we suggest that the aliveness of companion robots is the result of a combination of four aspects: 1) material ingredients, 2) morphology, 3) animate movements guided by software programs and human operators as in Wizard of Oz-settings and 4) anthropomorphising narratives created by their users to support the robot’s performance. We suggest that narratives on affective states, such as, sleepiness or becoming frightened attached to the robot trigger users’ empathic feelings, caring and tenderness toward the robot.peerReviewe