Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rachael M. Kang
dblp:374/9613
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
0009-0006-4474-7415ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
2 papers |
Health and well-being technologies · 50% Usability and user experience research · 38% Design research and methods · 12% | |
| Network and information security
1 paper |
Privacy and data protection · 50% Usable security · 50% |
Topics — the 1 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › mental health technology
mental health apps |
1.0 | 2 | 2024 | "This app said I had severe depression, and now I don't know what to do": the unintentional harms of mental health applications · CHI 2024 "That's Kind of Sus(picious)": The Comprehensiveness of Mental Health Application Users' Privacy and Security Concerns · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
user review analysis · 1.5user reviews · 0.8thematic analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | "This app said I had severe depression, and now I don't know what to do": the unintentional harms of mental health applicationsabstractA growing market for mental health applications and increasing evidence for the efficacy of these applications have made apps a popular mode of mental healthcare delivery. However, given the gravity of mental illnesses, the potential harms of using these applications must be continually investigated. In this study, we conducted a thematic analysis using user-comments left on depression self-management applications. We analyzed 6,253 reviews from thirty-six, systematically selected apps from the Google Play and Apple App stores. We identified four themes regarding the potential, unintentional harms caused by these applications. This study uniquely contributes to the literature by examining the reported harms to users caused by depression self-management apps and contextualizing them in an ethical framework. We provide recommendations to developers for creating ethical depression self-management apps and resources for practitioners and consumers to aid in screening apps. Rachael M. Kang, Tera L. Reynolds |
CHI | 1 |
| 2024 | "That's Kind of Sus(picious)": The Comprehensiveness of Mental Health Application Users' Privacy and Security ConcernsabstractWith the increasing usage of mental health applications (MHAs), there is growing concern regarding their data privacy practices. Analyzing 437 user reviews from 83 apps, we outline users’ predominant privacy and security concerns with currently available apps. We then compare those concerns to criteria from two prominent app evaluation websites – Privacy Not Included and One Mind PsyberGuide. Our findings show that MHA users have myriad data privacy and security concerns including a user’s control over their own data, but these concerns do not often overlap with those of experts from evaluation websites who focus more on issues such as required password strength. We highlight this disconnect and propose solutions in how the mental health care ecosystem can provide better guidance to MHA users and experts from the fields of privacy and security and mental health technology in choosing and evaluating, respectively, potentially useful mental health apps. Yi Xuan Khoo, Rachael M. Kang, Tera L. Reynolds, Helena M. Mentis |
CHI | 2 |