Studying and Eliciting Self-Disclosure: Interdisciplinary Review of Research Methodologies and Behavioural Paradigms DOI Open Access
Guy Laban

Published: May 27, 2024

This paper presents a comprehensive review of methodologies for eliciting, monitoring, and measuring self-disclosure, critical component human interaction. It examines both experimental naturalistic techniques, ranging from interview-based approaches to digital communication analysis, discusses their advantages limitations in various contexts. Additionally, it explores self-disclosure measurement tools, including self-reports, observer ratings, automated content analysis. The study highlights the complexity shaped by individual, relational, situational factors, underscores importance employing diverse, interdisciplinary methods accurately capture its dynamics effects on relationship establishment maintenance, well-being, social connections.

Language: Английский

A Psychological Need-Fulfillment Perspective for Designing Social Robots that Support Well-Being DOI Creative Commons
Suzanne Janssen, Bob R. Schadenberg

International Journal of Social Robotics, Journal Year: 2024, Volume and Issue: 16(5), P. 857 - 878

Published: Feb. 25, 2024

Abstract This conceptual paper presents a novel framework for the design and study of social robots that support well-being. Building upon self-determination theory associated Motivation, Engagement, Thriving in User Experience (METUX) model, this argues users’ psychological basic needs autonomy, competence, relatedness should be put at center robot design. These are essential to people’s well-being, engagement, self-motivation. However, current literature offers limited insights into how human–robot interactions related experiences satisfaction their thus, well-being flourishing. We propose need-fulfillment perspective could an inspiring lens robots, including socially assistive robots. conceptualize various ways which may incorporated future interaction research design, ranging from interface level specific tasks performed by or user’s behavior supported robot. The discusses implications designing promote as well research.

Language: Английский

Citations

5

Opening Up to Social Robots: How Emotions Drive Self-Disclosure Behavior DOI
Guy Laban, Arvid Kappas,

Val Morrison

et al.

Published: Aug. 28, 2023

Self-disclosing to others can benefit emotional well-being, but socio-emotional barriers limit people's ability do so. towards social robots help overcome these obstacles as lack judgment and establish rapport. To further understand the influence of affective factors on self-disclosure robots, this study examined relationship between behaviour a robot states their perception robot's responses comforting (i.e., being emphatic). The included 1160 units observation collected from 39 participants who conversed with Pepper (SoftBank Robotics) twice week for 5 weeks (10 sessions in total), answering three personal questions each session. Results show that perceiving more was positively related (in terms disclosure duration seconds, length number words), negative states, such lower mood, higher feelings loneliness stress, were associated rates robot. Additionally, introversion significantly predicted reveals meaningful how people behave when talking especially experiencing emotions. These findings may have implications designing developing therapeutic contexts.

Language: Английский

Citations

10

Sharing with Robots: Why do we do it and how does it make us feel? DOI Open Access
Guy Laban, Emily S. Cross

Published: Sept. 7, 2023

Self-disclosure and the social sharing of emotions facilitate relationships can positively affect people's well-being. Nevertheless, individuals might refrain from engaging in these interpersonal communication behaviours with other people, due to socio-emotional barriers, such as shame stigma. Social robots, free human-centric judgements, could encourage openness overcome barriers. Accordingly, this paper reviews role self-disclosure emotion human-robot interactions (HRIs), particularly its implications for emotional well-being dynamics relationship building between humans robots. We investigate transition traditional human-to-human HRI, revealing potential robots bridge barriers provide unique forms support. This review not only highlights therapeutic but also raises critical ethical considerations drawbacks interactions, emphasising importance a balanced approach integrating into support roles. The underscores complex promising frontier at intersection technology well-being, advocating careful consideration standards intrinsic human need connection we advance development application

Language: Английский

Citations

4

Knowledge cues to human origins facilitate self-disclosure during interactions with chatbots DOI Open Access

GABRIELLA WARREN-SMITH,

Guy Laban, Emily-Marie Pacheco

et al.

Published: Dec. 27, 2023

Chatbots are emerging as a self-management tool for supporting mental health, appearing across commercial and healthcare settings. Whilst chatbots valued their perceived lack of judgement, they the emotional intelligence empathy to build trust rapport with users. A resulting debate questions whether facilitate or hinder self-disclosure. This study presents within-subjects experimental design investigating parameters self-disclosure in social interactions an open domain. Participants engaged two short chatbots: one knowledge were conversing chatbot false belief human. significant difference was found both treatments, participants disclosing more that introduced human, well perceiving themselves do so, this comforting, be demonstrating higher rates agency experience compared chatbot. However, findings also indicated participants' disclosures sentimental, it friendlier These results indicate whilst cues chatbot’s human origins enhance perceptions mind, when artificial agent is against one’s expectations, may viewed negatively on factors require cognitive processing.

Language: Английский

Citations

2

Studying and Eliciting Self-Disclosure: Interdisciplinary Review of Research Methodologies and Behavioural Paradigms DOI Open Access
Guy Laban

Published: May 27, 2024

This paper presents a comprehensive review of methodologies for eliciting, monitoring, and measuring self-disclosure, critical component human interaction. It examines both experimental naturalistic techniques, ranging from interview-based approaches to digital communication analysis, discusses their advantages limitations in various contexts. Additionally, it explores self-disclosure measurement tools, including self-reports, observer ratings, automated content analysis. The study highlights the complexity shaped by individual, relational, situational factors, underscores importance employing diverse, interdisciplinary methods accurately capture its dynamics effects on relationship establishment maintenance, well-being, social connections.

Language: Английский

Citations

0