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Can a Conversational Agent Lower Sexual Violence Victims' Burden of Self-Disclosure?

Cited 3 time in Web of Science Cited 9 time in Scopus
Authors

Park, Hyanghee; Lee, Joonhwan

Issue Date
2020-04
Publisher
ASSOC COMPUTING MACHINERY
Citation
CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, p. 3383050
Abstract
Sexual violence victims hesitate to disclose their story to other people for help and often do not report the case to the police because it might lead to unwanted consequences. Thus, conversational agents (CAs) have been in the spotlight as a counselor since they are easily-accessible and nonjudgmental unlike humans. Despite the optimistic view, it is still important to look at what burden victims have when trying to converse with a machine. Thus, this paper aims to identify victims' burdens of human-police (HPI) vs. human-chatbot interaction (HCI). We conducted interviews with ten sex crime professionals (eight police officers and two counselors). As a result, we discovered seven burdens that can occur both in HPI and HCI. Based on our findings, we suggest design efforts and guidelines to develop CAs for sexual violence victims.
URI
https://hdl.handle.net/10371/186551
DOI
https://doi.org/10.1145/3334480.3383050
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