What we chose to (Not) share: Unpacking how HCI researchers self-disclose in interactions with participants with stigmatised identities

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Authors: Yvon Ruitenburg, Hayoun Noh, Jing Li, Sima Amirkhani, Hyuna Jo, Max Van Kleek, Younah Kang, Sarah Foley, Minha Lee
Cited by: 3
References: 43

Abstract

As Human-Computer Interaction (HCI) researchers increasingly conduct studies involving populations with stigmatised identities, more researchers must focus on creating conversational spaces where participants feel comfortable discussing their experiences. This study unpacks how and why HCI researchers engage in self-disclosure to facilitate such spaces. We share eight autoethnographic personal stories of key moments when we disclosed or concealed personal information in our HCI studies with diverse participant groups (people with dementia, victims of online romance scams, children with autism, and North Korean defectors). Through analysing these stories, we found that these decisions were shaped by various goals: creating a welcoming environment, demonstrating credibility, establishing common ground, reducing stigma, and directing the interview’s focus. The acts of disclosure or concealment affected the interactions with participants, the collected data, and the well-being of the researcher and participant. We argue that greater awareness, reflection, guidance, and sharing are needed regarding self-disclosure in HCI research and offer a reflexive guide to help researchers prepare for and reflect on their self-disclosure practices. By making these practices visible and open to discussion, we aim to make researcher-participant interactions in sensitive settings more ethical, effective, and transparent. • HCI researchers dynamically disclose/conceal personal information with stigmatised groups. • Researchers differ in the who/what/when/why(not)/how of their self-disclosure. • HCI lacks awareness, guidelines, and transparency for researcher self-disclosure. • Reflexivity around self-disclosure is needed for ethical and effective research.

Fields of Study & Subjects

Innovative Human-Technology Interaction Mobile Crowdsensing and Crowdsourcing Mental Health via Writing

Publication details

Journal / source
International Journal of Human-Computer Studies
Publisher
Elsevier BV
Volume
210
Pages
103755–103755
Publication date
3 February 2026
Language
EN