"I Hear You, I Feel You": Encouraging Deep Self-disclosure through a Chatbot

Lee, Yi‐Chieh; Yamashita, Naomi; Huang, Yun; Fu, Wai Tat

doi:10.1145/3313831.3376175

Cited by 169 publications

(121 citation statements)

References 35 publications

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“…For instance, if a chatbot is presented with a human identity and tries to imitate human inquiries by asking personal questions, the UVE can be elicited and make people feel uncomfortable [ 52 ]. However, contrary findings have also been identified as some studies show evidence that people respond well and disclose more personal information if the chatbot is presented as a bot and can also display emotions [ 60 , 61 ]. Identifying the boundary conditions for chatbot identity and disclosures in various application contexts requires more research to provide empirical findings.…”

Section: Resultsmentioning

confidence: 99%

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Zhang¹,

Oh²,

Lange³

et al. 2020

J Med Internet Res

188

116

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Background Chatbots empowered by artificial intelligence (AI) can increasingly engage in natural conversations and build relationships with users. Applying AI chatbots to lifestyle modification programs is one of the promising areas to develop cost-effective and feasible behavior interventions to promote physical activity and a healthy diet. Objective The purposes of this perspective paper are to present a brief literature review of chatbot use in promoting physical activity and a healthy diet, describe the AI chatbot behavior change model our research team developed based on extensive interdisciplinary research, and discuss ethical principles and considerations. Methods We conducted a preliminary search of studies reporting chatbots for improving physical activity and/or diet in four databases in July 2020. We summarized the characteristics of the chatbot studies and reviewed recent developments in human-AI communication research and innovations in natural language processing. Based on the identified gaps and opportunities, as well as our own clinical and research experience and findings, we propose an AI chatbot behavior change model. Results Our review found a lack of understanding around theoretical guidance and practical recommendations on designing AI chatbots for lifestyle modification programs. The proposed AI chatbot behavior change model consists of the following four components to provide such guidance: (1) designing chatbot characteristics and understanding user background; (2) building relational capacity; (3) building persuasive conversational capacity; and (4) evaluating mechanisms and outcomes. The rationale and evidence supporting the design and evaluation choices for this model are presented in this paper. Conclusions As AI chatbots become increasingly integrated into various digital communications, our proposed theoretical framework is the first step to conceptualize the scope of utilization in health behavior change domains and to synthesize all possible dimensions of chatbot features to inform intervention design and evaluation. There is a need for more interdisciplinary work to continue developing AI techniques to improve a chatbot’s relational and persuasive capacities to change physical activity and diet behaviors with strong ethical principles.

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Section: Resultsmentioning

confidence: 99%

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Zhang¹,

Oh²,

Lange³

et al. 2020

J Med Internet Res

188

116

View full text Add to dashboard Cite

show abstract

“…ref. [20,[54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69]); however, evidence is limited regarding how people's subjective perceptions of self-disclosure align with objective measures of self-disclosure. Here we evaluate both people's perceptions and their actual disclosures across three experiments.…”

Section: Subjective and Objective Disclosurementioning

confidence: 99%

Tell me more! Assessing interactions with social robots from speech

Laban

George

Morrison

et al. 2020

Paladyn, Journal of Behavioral Robotics

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As social robots are increasingly introduced into health interventions, one potential area where they might prove valuable is in supporting people’s psychological health through conversation. Given the importance of self-disclosure for psychological health, this study assessed the viability of using social robots for eliciting rich disclosures that identify needs and emotional states in human interaction partners. Three within-subject experiments were conducted with participants interacting with another person, a humanoid social robot, and a disembodied conversational agent (voice assistant). We performed a number of objective evaluations of disclosures to these three agents via speech content and voice analyses and also probed participants’ subjective evaluations of their disclosures to three agents. Our findings suggest that participants overall disclose more to humans than artificial agents, that agents’ embodiment influences disclosure quantity and quality, and that people are generally aware of differences in their personal disclosures to three agents studied here. Together, the findings set the stage for further investigation into the psychological underpinnings of self-disclosures to artificial agents and their potential role in eliciting disclosures as part of mental and physical health interventions.

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“…The results show that chatbot self-disclosure also had a positive effect on participants enjoyment over the study period and improved perceived intimacy. [12] Colace et al (2018) have contributed to the chatbot prototype in the education domain. The purpose of the chatbot is to provide support to university students on some IT courses.…”

Section: Literature Reviewmentioning

confidence: 99%

Conversational Survey Chatbot: User Experience and Perception

Njeguš¹

2021

Proceedings of the International Scientific Conference - Sinteza 2021

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"I Hear You, I Feel You": Encouraging Deep Self-disclosure through a Chatbot

Cited by 169 publications

References 35 publications

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Tell me more! Assessing interactions with social robots from speech

Conversational Survey Chatbot: User Experience and Perception

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