HCC:Small:Mind Perception in AI Companionship:Testing the Assumptions of Social Theories
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1.Measuring machine companionship experiences: Scale development and validation for AI companions
- 关键词:
- Measurement; Human-machine communication; Artificial intelligence;Friendship; Romantic relationship; Utilitarian motives; Autotelicexperience;LONELINESS; DIMENSIONS; SELF
- Banks, Jaime
- 《COMPUTERS IN HUMAN BEHAVIOR》
- 2026年
- 179卷
- 期
- 期刊
The mainstreaming of companionable machines-customizable artificial agents designed to participate in ongoing, idiosyncratic, socioemotional relationships-is met with relative theoretical and empirical disarray, according to recent systematic reviews. In particular, the conceptualization and measurement of machine companionship (MC) is inconsistent or sometimes altogether missing. This study starts to bridge that gap by developing and initially validating a novel measurement to capture MC experiences-the unfolding, autotelic, positively experienced, coordinated connection between human and machine-with AI companions (AICs). After systematic generation and expert review of an item pool (including items pertaining to dyadism, coordination, autotelicity, temporality, and positive valence), N = 467 people interacting AICs responded to the item pool and to construct validation measures. Through exploratory factor analysis, two factors were induced: Eudaimonic Exchange and Connective Coordination. Construct validation analyses indicate the factors function largely as expected (and confirmed in a second sample; N = 249). Post-hoc analyses of deviations suggests two different templates for MC with AICs: One socioinstrumental and one autotelic.
...2.Conceptualization, operationalization, and measurement of machine companionship: a scoping review
- 关键词:
- interpersonal processes; emotion; artificial intelligence; socialcognition; intimacy; anthropocentrism; companionship;AI; LONELINESS; FUTURE; TERM
- Banks, Jaime;Li, Zhixin
- 《JOURNAL OF COMPUTER-MEDIATED COMMUNICATION》
- 2026年
- 31卷
- 2期
- 期刊
The notion of machine companions has long been embedded in socio-technological imaginaries. Recent advances in AI have moved those media musings into believable sociality manifested in interfaces, robotic bodies, and devices. Those machines are often referred to colloquially as "companions," yet there is little careful engagement of machine companionship (MC) as a formal concept or measured variable. This PRISMA-guided scoping review systematically samples, surveys, and synthesizes current scholarly works on MC (N = 71; 2017-2025). Works varied widely in considerations of MC according to guiding theories, dimensions of a priori specified properties (subjectively positive, sustained over time, co-active, autotelic), and in measured concepts (with more than 50 distinct measured variables). We ultimately offer a literature-guided definition of MC as an autotelic, coordinated connection between human and machine that unfolds over time and is subjectively positive; through a facet-theoretical lens, we suggest how this definition can scaffold future research.Social machines have become a part of everyday life. There are many forms of social machines, including social robots, videogame characters, voice assistants, and social AI. Because social machines can communicate, people sometimes feel they are friends, family, or romantic partners. In other words, they are machines that can be built and used for companionship. These companion technologies are becoming quite popular, but the science is limited in understanding how machine companionship happens, how people experience it, and whether it has positive or negative outcomes. To map out the current science of this situation, we systematically reviewed 71 articles to better understand how scholars are defining and sometimes measuring "companionship" with machines. We find there is not much consistency among all of these academic works, so the knowledge we have about machine companionship is not especially cohesive or reliable. That is, we don't have well-supported claims we can make about the topic. To address this inconsistency, we take what we learned from this investigation to offer a conceptual definition of machine companionship that should help scholars move forward in studying the phenomenon.
...3.Operationalizing Machine Companionship: Exploring Topics in Discussions of Companion AI
- 关键词:
- Human computer interaction;Human engineering;Interactive computer graphics;Interactive computer systems;Affordances;Companionship;Digital persona;Emotion;Friendship;Human relations;Imaginaries;Language model;Online forums;Sociomorphing
- Banks, Jaime;Li, Jianghui;Li, Zhixin;Carr, Caleb T.
- 《25th International Conference on Intelligent Virtual Agents, IVA 2025》
- 2025年
- September 16, 2025 - September 19, 2025
- Berlin, Germany
- 会议
AI companions (AICs; persistent digital personas driven by large language models) are increasingly popular, yet there is limited understanding of how non-experts think about the notion of companionship with machine agents. This descriptive work builds on recent scholarship by exploring topics salient to users as they discuss AI companionship in online forums. From a corpus of curated entries (N = 3,621) across 14 subreddits, LLM-assisted analysis induced four high-level themes associated with socioemotionality, control, limitations, and imaginaries. The topical hierarchy suggests this form of machine companionship both converges with and diverges from human relations. © 2025 Copyright held by the owner/author(s).
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