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Jui-Ching Kuo

dblp:399/9959 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0000-0831-4774ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 2 · 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 · 88% Human-AI interaction · 12%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies
digital well-being
1.012026
Does Longer Phone Use Always Feel Worse? Examining How Intention and Duration Shape Evaluations of Time Use · CHI 2026
Health and well-being technologies
personal informatics
1.012026
Does Longer Phone Use Always Feel Worse? Examining How Intention and Duration Shape Evaluations of Time Use · CHI 2026
Information retrieval › user interaction
user feedback
0.912025
Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content · CHI 2025
Human-AI interaction › human-centered AI
user control
0.312025
Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content · CHI 2025

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

screenshot labeling · 1.0experience sampling · 1.0
YearPublicationVenuePosition
2026 Does Longer Phone Use Always Feel Worse? Examining How Intention and Duration Shape Evaluations of Time Use
abstract
Prior work has examined how users judge their smartphone use, typically focusing on either usage duration or intention. How these two factors jointly shape such evaluations remains unclear. We conducted a two-week study with 104 participants, who reviewed their screenshots and provided labels of both usage intention and evaluation of time use. Across 73,000 sessions (6.1M screenshots), the relationship between duration and evaluation was initially linear but then bounded: positive evaluations declined and negative ones rose with longer phone use duration but both eventually stabilized, most often judged neutral. Trajectories varied by intention. Entertainment mirrored the overall trend; functional use continually lost positive evaluations, whereas information-seeking became increasingly positive during the first half hour before later declining; messaging-based connections slowly lost positive evaluations, while social media–based connections declined more quickly; finally, “no specific intention” unfolded in phases—from short positive use to regret-prone mid-length episodes to neutral long sessions.
Je-Wei Hsu, Ching-Ting Lin, Uei-Dar Chen, Jui-Ching Kuo, Yi-Hua Tsai, Jui-Chun Liu, Yong-Han Lin, Chen-Ya Chen, Razieh Pourafshari, Mu-Jung Cho, Joseph B. Bayer, Yung-Ju Chang
CHI4
2025 Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content
Wenqi Li 0002, Jui-Ching Kuo, Manyu Sheng, Qunfang Wu
CHI2