Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Rachael M. Kang

dblp:374/9613 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Health and well-being technologies › mental health technology
mental health apps
1.022024
"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
YearPublicationVenuePosition
2024 "This app said I had severe depression, and now I don't know what to do": the unintentional harms of mental health applications
abstract
A 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
CHI1
2024 "That's Kind of Sus(picious)": The Comprehensiveness of Mental Health Application Users' Privacy and Security Concerns
abstract
With 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
CHI2