Tell me, what are you most afraid of? Exploring the Effects of Agent Representation on Information Disclosure in Human-Chatbot Interaction
Anna Stock, Stephan Schl\"ogl, Aleksander Groth

TL;DR
This study investigates how different types of chatbot embodiment affect user self-disclosure, revealing that non-human forms have minimal impact while human embodiment may enhance disclosure, challenging prior assumptions.
Contribution
It provides new insights into how human-like chatbot features influence self-disclosure, especially showing that human embodiment can positively affect disclosure levels.
Findings
Non-human embodiment has little effect on self-disclosure.
Human embodiment may increase breadth and depth of disclosure.
Contradicts previous research suggesting human avatars reduce disclosure.
Abstract
Self-disclosure counts as a key factor influencing successful health treatment, particularly when it comes to building a functioning patient-therapist-connection. To this end, the use of chatbots may be considered a promising puzzle piece that helps foster respective information provision. Several studies have shown that people disclose more information when they are interacting with a chatbot than when they are interacting with another human being. If and how the chatbot is embodied, however, seems to play an important role influencing the extent to which information is disclosed. Here, research shows that people disclose less if the chatbot is embodied with a human avatar in comparison to a chatbot without embodiment. Still, there is only little information available as to whether it is the embodiment with a human face that inhibits disclosure, or whether any type of face will reduce…
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