Defining, Designing and Distinguishing Artificial Companions: A Systematic Literature Review

Rogge, Ayanda

doi:10.1007/s12369-023-01031-y

Cited by 7 publications

(1 citation statement)

References 109 publications

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“…In the case of certain types of robots, their primary function is to act as social entities capable of communication and forming relationships. Companion robots, also known as social or assistive robots, are programmed to interact and engage with humans in social settings, providing assistance, companionship, and emotional support (for a review on de nitions, see 22 ). Companion robots nd applications in a wide range of settings, including healthcare and education, especially for older people and children.…”

Section: Introductionmentioning

confidence: 99%

Propensity to trust: comforting touch between trustworthy human and robot partners.

Valori,

Fan,

Jung

et al. 2023

Preprint

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Touching a friend to comfort or be comforted is a common prosocial behaviour, firmly based in mutual trust. Emphasising the interactive nature of trust and touch, we suggest that vulnerability, reciprocity and individual differences shape trust and perceptions of touch. We further investigate whether these elements also apply to companion robots. Participants (n = 152) were exposed to four comics depicting human-human or human-robot exchanges. Across conditions, one character was sad, the other initiated touch to comfort them, and the touchee reciprocated the touch. Participants first rated trustworthiness of a certain character (human or robot in a vulnerable or comforting role), then evaluated the two touch phases (initiation and reciprocity) in terms of interaction realism, touch appropriateness and pleasantness, affective state (valence and arousal) attributed to the characters. Results support an interactive account of trust and touch, with humans being equally trustworthy when comforting or showing vulnerability, and reciprocity of touch buffering sadness. Although these phenomena seem unique to humans, propensity to trust technology reduces the gap between how humans and robots are perceived. Two distinct trust systems emerge: one for human interactions and another for social technologies, both necessitating trust as a fundamental prerequisite for meaningful physical contact.

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Section: Introductionmentioning

confidence: 99%

Propensity to trust: comforting touch between trustworthy human and robot partners.

Valori,

Fan,

Jung

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Propensity to trust shapes perceptions of comforting touch between trustworthy human and robot partners

Valori,

Fan,

Jung

et al. 2024

Sci Rep

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Touching a friend to comfort or be comforted is a common prosocial behaviour, firmly based in mutual trust. Emphasising the interactive nature of trust and touch, we suggest that vulnerability, reciprocity and individual differences shape trust and perceptions of touch. We further investigate whether these elements also apply to companion robots. Participants (n = 152) were exposed to four comics depicting human–human or human–robot exchanges. Across conditions, one character was sad, the other initiated touch to comfort them, and the touchee reciprocated the touch. Participants first rated trustworthiness of a certain character (human or robot in a vulnerable or comforting role), then evaluated the two touch phases (initiation and reciprocity) in terms of interaction realism, touch appropriateness and pleasantness, affective state (valence and arousal) attributed to the characters. Results support an interactive account of trust and touch, with humans being equally trustworthy when comforting or showing vulnerability, and reciprocity of touch buffering sadness. Although these phenomena seem unique to humans, propensity to trust technology reduces the gap between how humans and robots are perceived. Two distinct trust systems emerge: one for human interactions and another for social technologies, both necessitating trust as a fundamental prerequisite for meaningful physical contact.

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A Digital Companion Architecture for Ambient Intelligence

Garcia,

Vontobel,

Mayer

2024

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Ambient Intelligence (AmI) focuses on creating environments capable of proactively and transparently adapting to users and their activities. Traditionally, AmI focused on the availability of computational devices, the pervasiveness of networked environments, and means to interact with users. In this paper, we propose a renewed AmI architecture that takes into account current technological advancements while focusing on proactive adaptation for assisting and protecting users. This architecture consist of four phases: Perceive, Interpret, Decide, and Interact. The AmI systems we propose, called Digital Companions (DC), can be embodied in a variety of ways (e.g., through physical robots or virtual agents) and are structured according to these phases to assist and protect their users. We further categorize DCs into Expert DCs and Personal DCs, and show that this induces a favorable separation of concerns in AmI systems, where user concerns (including personal user data and preferences) are handled by Personal DCs and environment concerns (including interfacing with environmental artifacts) are assigned to Expert DCs; this separation has favorable privacy implications as well. Herein, we introduce this architecture and validate it through a prototype in an industrial scenario where robots and humans collaborate to perform a task.

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Defining, Designing and Distinguishing Artificial Companions: A Systematic Literature Review

Cited by 7 publications

References 109 publications

Propensity to trust: comforting touch between trustworthy human and robot partners.

Propensity to trust: comforting touch between trustworthy human and robot partners.

Propensity to trust shapes perceptions of comforting touch between trustworthy human and robot partners

A Digital Companion Architecture for Ambient Intelligence

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