Recognition in interaction: theoretical and empirical observations.

In the current paper we aim to combine the theoretical ideas of recognition theory to conversation analytical, empirical observations. We ask what recognition theories can give to conversation analysis, and vice versa. We operate on a model of recognition that consists of three different modes: respect, esteem, and love/care, and which distinguishes the levels of conversational actions and the attitudes of recognition manifested in such actions. In this study we examine data examples from various conversational settings (institutional, quasi-experimental, family interaction) and activities (decision-making, storytelling), focusing on the more complex cases of (mis)recognition. We show how recognition can appear both explicitly and implicitly in conversational sequences, and demonstrate how the levels of conversational actions and recognition can be either congruent or incongruent with each other. At the end of the article, we discuss the implications of this view for the interface of conversation analysis and sociological theory, arguing that it can inform and promote the development of interactionally based social and societal critique.

Older Adults' Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review.

BACKGROUND: Loneliness and social isolation can have severe effects on human health and well-being. Partial solutions to combat these circumstances in demographically aging societies have been sought from the field of information and communication technology (ICT). OBJECTIVE: This systematic literature review investigates the research conducted on older adults' loneliness and social isolation, and physical ICTs, namely robots, wearables, and smart homes, in the era of ambient assisted living (AAL). The aim is to gain insight into how technology can help overcome loneliness and social isolation other than by fostering social communication with people and what the main open-ended challenges according to the reviewed studies are. METHODS: The data were collected from 7 bibliographic databases. A preliminary search resulted in 1271 entries that were screened based on predefined inclusion criteria. The characteristics of the selected studies were coded, and the results were summarized to answer our research questions. RESULTS: The final data set consisted of 23 empirical studies. We found out that ICT solutions such as smart homes can help detect and predict loneliness and social isolation, and technologies such as robotic pets and some other social robots can help alleviate loneliness to some extent. The main open-ended challenges across studies relate to the need for more robust study samples and study designs. Further, the reviewed studies report technology- and topic-specific open-ended challenges. CONCLUSIONS: Technology can help assess older adults' loneliness and social isolation, and alleviate loneliness without direct interaction with other people. The results are highly relevant in the COVID-19 era, where various social restrictions have been introduced all over the world, and the amount of research literature in this regard has increased recently.

AI Systems and Respect for Human Autonomy.

This study concerns the sociotechnical bases of human autonomy. Drawing on recent literature on AI ethics, philosophical literature on dimensions of autonomy, and on independent philosophical scrutiny, we first propose a multi-dimensional model of human autonomy and then discuss how AI systems can support or hinder human autonomy. What emerges is a philosophically motivated picture of autonomy and of the normative requirements personal autonomy poses in the context of algorithmic systems. Ranging from consent to data collection and processing, to computational tasks and interface design, to institutional and societal considerations, various aspects related to sociotechnical systems must be accounted for in order to get the full picture of potential effects of AI systems on human autonomy. It is clear how human agents can, for example, via coercion or manipulation, hinder each other's autonomy, or how they can respect each other's autonomy. AI systems can promote or hinder human autonomy, but can they literally respect or disrespect a person's autonomy? We argue for a philosophical view according to which AI systems-while not moral agents or bearers of duties, and unable to literally respect or disrespect-are governed by so-called "ought-to-be norms." This explains the normativity at stake with AI systems. The responsible people (designers, users, etc.) have duties and ought-to-do norms, which correspond to these ought-to-be norms.