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Loneliness and isolation are on the rise, globally threatening the well-being across age groups; global social distancing measures during the COVID-19 crisis have intensified this so-called “loneliness virus”. The purpose of this paper is to develop an integrative framework and research agenda on the role of companion robots in mitigating feelings of loneliness.

A netnographic analysis of 595 online visual and textual descriptions offer empirical insights about the role of the companion robot Vector during the COVID-19 pandemic.

The contributions of this study are twofold. First, it postulates that companion robots have the potential of mitigating feelings of loneliness (i.e. indicator of well-being). Second, this study contributes to transformative service by developing an integrative framework introducing the roles (personal assistant, relational peer and intimate buddy) that companion robots can fulfill to mitigate feelings of loneliness through building different types of supportive relationships.

The proposed research agenda encourages future service scholars to investigate 1) the role of robots in addressing loneliness, 2) design features that drive adoption of robots, 3) social support for different groups, 4) the operationalization and the measurement of loneliness and 5) an impact analysis of companion robots.

Service providers and policy makers can leverage the insights about how companion robots can help reduce a sense of loneliness.

The integrative framework on loneliness reduction, based on 595 unprompted online contributions issued during the COVID-19 pandemic, offers initial evidence for the impact of companion robots in reducing people's feelings of loneliness.

The purpose of this paper is to interrogate the relationship between self-reported levels of acute stress, perceived social support and interactions with robot animals in an academic library. The authors hypothesized that (1) participants would report lower stress and higher positive affect after their interaction with a robot support animal and (2) perceived supportiveness of the robot support animal would positively predict the amount of stress reduction the participants reported.

The authors hosted a robot petting zoo in the main library at a mid-sized Midwestern university during finals week. Participants were asked to rate their stress level prior to interacting with the robot pets (T1) and then after their interaction they were asked about their current stress level and the perceived supportiveness of the robot animal (T2). Data were analyzed using paired samples t-tests for the pretest and post-test scores.

The results showed a significant decrease in acute stress between T1 to T2, as well as a significant increase in happiness and relaxation. Participants reported feeling less bored and less tired after their interactions with the robot support animals. The findings also reveal that the degree to which individuals experienced a reduction in stress was influenced by their perceptions of the robot animal's supportiveness. Libraries could consider using robot pet therapy.

This study reveals the benefit of robot support animals to reduce stress and increase happiness of those experiencing acute stress in a library setting. The authors also introduce the concept of socially supportive contact as a type of unidirectional social support.

This paper aims to provide details of commercially available domestic robots and recent product developments and consider whether a significant boost in the robot population is imminent.

Following a short introduction, this paper first provides a brief overview of existing domestic robots and identifies recent product trends. It then discusses some newer product developments which extend the capabilities of domestic robots. This is followed by a consideration of the many recently launched companion robots, and the paper concludes with a discussion of the likely impact on the domestic robot market.

This paper shows that domestic robots have benefited from developments in artificial intelligence, sensor technology and connectivity, which have led to greater versatility and enhanced ease of use. Several new product developments are extending the range of functions conducted by domestic robots. Many small, mobile companion/social robots have recently been developed which interact with humans by speech and vision and conduct functions such as entertainment, the control of household appliances and security.

This paper provides an insight into the wide range of domestic robots which are available or under development and considers their commercial prospects.

Memory deterioration is one of the most common cognitive issues associated with ageing. Not being able to remember daily routines (e.g. taking medicine) poses a serious threat to personal independence. Smart homes combined with assistive robots have been suggested as an acceptable solution to support the independent living of the older people. The purpose of this paper is to develop a memory visualisation tool in robots and smart houses following the hypothesis that the use of memory aids will have a positive effect on the cognitive capabilities of older people.

This paper describes the iterative development process and evaluation of a novel interface to visualise the episodic memory of a socially assistive robotic system which could help to improve the memory capabilities of older users. Two experimental studies were carried out to assess usability, usefulness and envisaged use of such a system.

Results show that users find a memory tool for the robot useful to help them remember daily routines and when trying to recall previous events. Usability results emphasise the need to tailor the memory tool to specific age ranges.

The research to date provides support that for assistive robots to be a truly useful tool, they must be able to deliver episodic memory visualisation tools that enhance day-to-day living (i.e. environmental information, data on the robot’s actions and human-robot interaction episodes). Equipping a robotic companion with a novel memory visualisation tool for episodic memory is an excellent opportunity to have a robot provide such a functionality (cognitive prosthetics).

The rousing phenomenon of the ageing population is becoming a vital issue and demanding fulminant actions. Population ageing is a resultant of the enhanced health-care system, groovy antibiotics, medications and economic well-being. Old age leads to copious amounts of ailments. Aged people, owing to their reduced mobility and enervating disabilities, tend to rely upon caretakers and/or nursing personnel. With the increasing vogue of nuclear families in the society, the elderly are at the risk of being unveiled to emotional, physical and fiscal insecurities in the years to come. Caring for those seniors will be an enormous undertaking.

There is a dire need for an intelligent assistive system to meet out the requirements of continuous holistic care and monitoring. Assistive robots and systems used for elderly care are studied. The design motivation for the robots, elderly–robot interaction capabilities and technology incorporated in the systems are examined meticulously.

From the survey, it is suggested that the subsystems of an assistive robot revamped for better human–machine interactions will be a potential alternative to the human counterpart. Affirmable advancements in the robot design and interaction methodologies that would increase the holistic care and assistance for aged people are analyzed and listed.

This paper reviews the available assistive technologies and suggests a synergistic model that can be adopted for the caring of the elderly.

The purpose of this paper is to examine and explore the use of various existing and developing technologies to enable and enhance users' lives.

The paper reviews the current research evidence and explores some policies that have been developed in this area.

The findings indicate that many technologies in current existence can be adapted to assist people with disabilities. The paper looks to the future and speculates how new and developing technologies could push the boundaries of assistance and enablement. Using clinical examples, some of the ethical and legal implications of the use of such technologies, and how certain conditions may be aided, notably disorders on the neurodiverse spectrum, are discussed.

This paper will be of use to practitioners and researchers in the fields of learning disability and mental health.

Social robot, a subtype of robots that is designed for the various interactive services for human, which must deliver superior user experience (UX) by expressing human-like social behavior or service and emotional sensitivity. This study develops a social robot app called the “Music Buddy” in ASUS Zenbo that provides a situational music based on the users' electroencephalogram (EEG) data. The research uses this app to explore its UX criteria and the prioritization of human robot interaction (HRI).

The research methodologies include the both system development and decision analysis for the social robot. The first part is to design and develop a social robot app. The second part is to investigate the criteria of HRI through the Analytic Hierarchy Process (AHP) from UX aspects.

In view of the results of the AHP, the first-layer criteria consist of personalized function, easy-to-use the system and intelligent process. In terms of prioritization of multi-criteria, the overall ranking discloses the nine criteria in order including autonomy for robot, easy-to-use EEG device, accurate music preference, simple operations for brainwave device and easy-to-use applications, active music recommendation, automatic updates of music and easy-to-use robot as well as fast detection for emotion.

This research includes a self-developed social robot app and its UX research using AHP. This paper contributes to the improvement and innovation of the social robot design according to the results of UX research on HRI of social robot.

This first part of a two-part paper aims to provide an insight into the ethical and legal issues associated with certain classes of robot. This part is concerned with ethics.

Following an introduction, this paper first considers the ethical deliberations surrounding robots used in warfare and healthcare. It then addresses the issue of robot truth and deception and subsequently discusses some on-going deliberations and possible ways forward. Finally, brief conclusions are drawn.

Robot ethics are the topic of wide-ranging debate and encompass such diverse applications as military drones and robotic carers. Many ethical considerations have been raised including philosophical issues such as moral behaviour and truth and deception. Preliminary research suggests that some of these concerns may be ameliorated through the use of software which encompasses ethical principles. It is widely recognised that a multidisciplinary approach is required and there is growing evidence of this.

This paper provides an insight into the highly topical and complex issue of robot ethics.

The main objective of this chapter is broadening the understanding of anthropomorphic artificial intelligence (AI) (e.g. avatars, humanoid robots, chatbots) in both physical and digital environments. The chapter strives to demonstrate how organisations can curate relationship marketing and enhance customer experience by employing anthropomorphic AI. To achieve this, the chapter extends existing understanding in three ways. First, it explains the interconnectivity between relationship marketing and customer experience. Second, it presents anthropomorphic AI along with its different characteristics and technologies. Third, it offers some real-life uses cases and examples of such AI drawing from practical insights into five selected industries. Overall, the chapter provides some food of thoughts concerning the successful application and deployment of anthropomorphic AI in marketing practices.

The purpose of this study is to investigate the benefits for aged care providers of adding affordable robotic technology to their services packages to enhance the well-being of older adults from culturally and linguistically diverse (CALD) backgrounds who choose to live at home.

This study, adopting a transformative service research lens, was performed with a group of older Australian adults from CALD backgrounds aged approximately 70 years. This study conducted four rounds of home trials with three different, commercially available robotic technologies from January to November 2020. Each trial lasted seven days.

The findings reveal that older adults from CALD backgrounds are open to learning about new technologies and can successfully interact independently with multiple robotic technologies in their own homes. The results indicate that robot technology has the potential to increase the well-being of older people by enhancing a sense of belonging, independence and quality of life while living at home.

This study shows a promising future involving the use of available technology to assist older people from CALD backgrounds to live better lives at home. Ageing at home can be central to a person’s sense of identity and independence, and this study is a big step towards a new aged care system desperately needed in a society with a rapidly ageing population.

To the best of the authors’ knowledge, this study is among the first to introduce three different commercially available robots, each designed to satisfy companionship, cleaning and/or communication needs in the homes of older adults from CALD backgrounds to increase their overall well-being.