Recommendations for designing conversational companion robots with older adults through foundation models.

Companion robots are aimed to mitigate loneliness and social isolation among older adults by providing social and emotional support in their everyday lives. However, older adults' expectations of conversational companionship might substantially differ from what current technologies can achieve, as well as from other age groups like young adults. Thus, it is crucial to involve older adults in the development of conversational companion robots to ensure that these devices align with their unique expectations and experiences. The recent advancement in foundation models, such as large language models, has taken a significant stride toward fulfilling those expectations, in contrast to the prior literature that relied on humans controlling robots (i.e., Wizard of Oz) or limited rule-based architectures that are not feasible to apply in the daily lives of older adults. Consequently, we conducted a participatory design (co-design) study with 28 older adults, demonstrating a companion robot using a large language model (LLM), and design scenarios that represent situations from everyday life. The thematic analysis of the discussions around these scenarios shows that older adults expect a conversational companion robot to engage in conversation actively in isolation and passively in social settings, remember previous conversations and personalize, protect privacy and provide control over learned data, give information and daily reminders, foster social skills and connections, and express empathy and emotions. Based on these findings, this article provides actionable recommendations for designing conversational companion robots for older adults with foundation models, such as LLMs and vision-language models, which can also be applied to conversational robots in other domains.

Domesticating Social Alarm Systems in Nursing Homes: Qualitative Study of Differences in the Perspectives of Assistant Nurses.

BACKGROUND: New social alarm solutions are viewed as a promising approach to alleviate the global challenge of an aging population and a shortage of care staff. However, the uptake of social alarm systems in nursing homes has proven both complex and difficult. Current studies have recognized the benefits of involving actors such as assistant nurses in advancing these implementations, but the dynamics by which implementations are created and shaped in their daily practices and relations have received less attention. OBJECTIVE: Based on domestication theory, this paper aims to identify the differences in the perspectives of assistant nurses when integrating a social alarm system into daily practices. METHODS: We interviewed assistant nurses (n=23) working in nursing homes to understand their perceptions and practices during the uptake of social alarm systems. RESULTS: During the four domestication phases, assistant nurses were facing different challenges including (1) system conceptualization; (2) spatial employment of social alarm devices; (3) treatment of unexpected issues; and (4) evaluation of inconsistent competence in technology use. Our findings elaborate on how assistant nurses have distinct goals, focus on different facets, and developed diverse coping strategies to facilitate the system domestication in different phases. CONCLUSIONS: Our findings reveal a divide among assistant nurses in terms of domesticating social alarm systems and stress the potential of learning from each other to facilitate the whole process. Further studies could focus on the role of collective practices during different domestication phases to enhance the understanding of technology implementation in the contexts of complex interactions within a group.

Technology scripts in care practice: A case study of assistant nurses' use of a social alarm system in Swedish nursing homes.

Background: Technologies such as social alarm systems contain expectations about how they should be integrated and used in practice. These expectations, also called technology scripts, usually fail to consider all the complexity in care practice. Shifting the focus from technology scripts to care practice, this paper examines how a social alarm system is used in assistant nurses' care practices in nursing homes. Methods: The paper draws on observations of assistant nurses' daily tasks (32 h) and semi-structured interviews with assistant nurses (n = 12) in two Swedish nursing homes. The observation data were used to understand the care contexts and assistant nurses' technology-mediated care practices, while interviews were used to deeply understand assistant nurses' perceptions of the system, their care practices, and which aspects they considered during the provision of care. Findings: We show the complexities involved in integrating a social alarm system into care practices based on assistant nurses' situational and personal interpretations of both technology scripts and quality of care. The technology-mediated care practices consist of receiving alarms from residents, checking alarms via alarm phones, responding to alarms via alarm phones, checking specific residents' situations in person, documenting all finished alarms, and documenting some finished alarms. In these practices, the assistant nurses defined technology scripts according to their expected requirements and outcomes, and meanwhile considered the quality of care by evaluating the priority of practical, moral or relational care in the situations at hand. Through further negotiations with the defined scripts and the considered quality of care, the assistant nurses decided on the final way of following (or not following) specific scripts in practice. Conclusion: Results from our study portray the complexity of technology in care practices. The findings contribute to increased understanding of technology-mediated care practices in nursing homes, and research on technology scripts in institutional settings.

The application and deployment of welfare technology in Swedish municipal care: a qualitative study of procurement practices among municipal actors.

BACKGROUND: Welfare technology has been launched as a concept to accelerate digital transformation in care services, but the deployment of these technologies is still hindered by organisational resistance, lack of infrastructure, and juridical and ethical issues. This paper investigates decision-making among municipal actors in the application and deployment of welfare technology from a procurement process perspective. The study explores the perceptions and negotiations involved in purchasing welfare technology at each stage of the procurement model, revealing the impact of technical, economic, juridical and ethical competence on the mapping, planning, procurement, implementation and management of welfare technology. METHODS: The study presents empirical findings from qualitative interviews conducted among municipal actors in Sweden. Semi-structured interviews were gathered in 2020 among procurement managers, IT managers, and managers in social administration in three different municipalities (n = 8). Content analysis and systematic categorisation were applied resulting in the division of procurement practices into sub-categories, generic categories and main categories. RESULTS: Challenges in the application and deployment of welfare technology occur at all stages of the procurement model. In mapping and planning, barriers are identified in the need analysis, requirement specification and market analysis. In the procurement stage, economic resources, standardisation and interoperability hinder the procurement process. Implementation and management are complicated by supplier assessment, legislation, cross-organisational collaboration and political strategy. Building on these findings, this study defines 'procurement competence' as consisting of technical, economic, juridical and ethical expertise in order to assess and evaluate welfare technology. Technical and ethical competence is needed in early stages of procurement, whereas juridical and economic competence relates to later stages of the model. CONCLUSIONS: Procurement competence is associated with the application and deployment of welfare technology in (1) assessment of the end-user's needs, (2) estimation of the costs and benefits of welfare technology and (3) management of juridical and legislative issues in data management. Economic and juridical decisions to purchase welfare technology are not value-neutral, but rather associated with socially shared understandings of technological possibilities in care provision. Optimisation of procurement processes requires a combination of capabilities to introduce, apply and deploy welfare technology that meets the demands and needs of end-users.

Examining gambling-related crime reports in the National Finnish Police Register.

The aim of this study is to examine the connection between gambling and criminal activity in the National Finnish Police Register. First, a method was created that enabled the search for gambling-related police reports in the National Finnish Police Register. The method is based on finding gambling-related police reports by using gambling-related headwords. Second, all police reports from 2011 that included any mention of gambling were read through (n = 2,233). Suspected gambling-related of crimes (n = 737) were selected from these reports. Those suspected gambling-related crimes were then described and categorized into six different categories: suspected online-related crimes; suspected crimes that were related to lifestyle-gaming; suspected crimes that involved a gambler as a victim of a crime; criminal activity related to problem gambling; casino-connected crimes, and intimate partnership violence resulting from gambling problems. This study, being the first in Finland, generated information on the connection between gambling and criminal activity from the perspective of police reports. Moreover, the study highlights methodological issues that are involved in studying police reports.

Physical violence against children reported to the police: discrepancies between register-based data and child victim survey.

This study examines the reporting and not reporting of child victimization to the police. The study focuses on comparing the police reports of child victimization to the Finnish Child Victim Survey (FCVS) to find out the kind of violence that is reported to the police and the kind that is not. A total number of 242 police reports of 12-year-old victims of physical violence were collected from the Finnish Police Information System. These reports were compared to the 12-year-old children's victimization experiences in the FCVS. Discrepancies between these two data can be found in the victim's gender, the relationship between the victim and the suspect, and the location of the assault. Physical violence against girls committed by mothers is not reported as often as physical violence against boys committed by men.