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You Jin Jeong

dblp:262/4605 · DBLP profile ↗
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3ranked-venue papers
2as first author
2since 2021 · last 2026
0009-0007-3981-1555ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 2 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
1 paper
Collaborative and social computing · 77% Design research and methods · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
cooperative work
1.012026
Breakdowns and Design Opportunities for Collaborative File Management · CHI 2026
Design research and methods
design probe
0.312026
Breakdowns and Design Opportunities for Collaborative File Management · CHI 2026

Methods — techniques the papers use, named apart from their topics

needfinding interviews · 1.0design probe evaluation · 1.0
YearPublicationVenuePosition
2026 Breakdowns and Design Opportunities for Collaborative File Management
abstract
Effective file management is central to coordination in collaborative work, as shared files serve as the primary medium through which collaborators exchange contributions. Building on existing PIM and CSCW literature on file management breakdowns, we recontextualize such breakdowns within specific dynamics of collaboration. In Study 1, we conducted a need-finding interview(N=33) and identified four recurring breakdowns in collaborative file management: ambiguous file placement and ownership, inefficient version management, uninterpretable metadata, and missing status cues. Building on these findings, Study 2 used a design probe evaluation(N=12) to examine potential benefits and concerns associated with supporting collaborative file management. Participants reported benefits such as clearer ownership, stronger reference convergence, improved metadata interpretability, and heightened progress visibility, while expressing concerns related to surveillance, exploration containment, overdisclosure, and social pressure. Taken together, the studies reframe well-known file management issues as a dichotomy between perceived benefits and concerns, thereby outlining design directions for file-level alignment.
Kiyeal Seo, You Jin Jeong, Gahgene Gweon
CHI3
2021 Advantages of Print Reading over Screen Reading: A Comparison of Visual Patterns, Reading Performance, and Reading Attitudes across Paper, Computers, and Tablets
abstract
We examined the effects of the reading medium (print vs. digital) on readers’ visual patterns, reading performance, and reading attitudes. Two within-subject experiments were conducted with 74 readers, who read articles using three reading media: print, computer, and tablet. The experimental results showed that in terms of visual patterns, readers exhibited a shorter fixation duration and a higher fixation count during print reading than during screen reading; reading performance, as measured on the basis of reading comprehension and reading time, was equivalent across all three media; however, in terms of reading attitude, readers reported higher levels of perceived understanding, perceived confidence, and perceived immersion and lower levels of perceived fatigue for reading printed text than reading from a device screen. Therefore, the performance gap between print and screen reading is narrowing. However, printed text may still be the preferred mode of reading, as demonstrated by the readers’ preferences.
You Jin Jeong, Gahgene Gweon
Int. J. Hum. Comput. Interact.1
2020 Is smartphone addiction different from Internet addiction? comparison of addiction-risk factors among adolescents
abstract
We investigated the similarities and differences among four addiction groups in Korean adolescents: Non-Addiction (NONE), Smartphone Addiction (SA), Internet Addiction (IA), and Internet-Smartphone Addiction (BOTH). For the dependent variables, we examined 12 addiction-risk factors related to psychology, family, and school environment that can influence the adolescents’ normative developmental path. To collect data, we conducted an addiction-risk factor comparison survey with 768 Korean adolescents in their first year of junior high school. Depending on the addiction groups, a multivariate analysis of variance or Tukey HSD post-hoc test was used to analyze statistical differences among the 12 addiction-risk factors. Our analysis yielded two key findings on how Internet addiction and smartphone addiction differ in terms of addiction-risk factors: (a) there were more similarities between the SA and NONE groups than between the IA and NONE groups, and (b) there were more similarities between the IA and BOTH groups than between the SA and BOTH groups.
You Jin Jeong, Bongwon Suh, Gahgene Gweon
Behav. Inf. Technol.1