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Che Yan

dblp:344/9679 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-6817-482XORCID · 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
Interaction techniques and input · 83% Haptics and multimodal interaction · 9% User interface design and tools · 8%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › mobile interaction › wearable device interaction
smartwatch interaction
0.812024
EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches · CHI 2024
Interaction techniques and input
pen input
0.712023
Evaluating Across-Hinge Dragging with Pen and Touch on Curved and Foldable Displays · CHI 2023
Interaction techniques and input
touch interaction
0.712023
Evaluating Across-Hinge Dragging with Pen and Touch on Curved and Foldable Displays · CHI 2023

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

semantic processing · 0.8acoustic processing · 0.8user study · 0.7prototype evaluation · 0.7
YearPublicationVenuePosition
2024 EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches
abstract
Voice messages, by nature, prevent users from gauging the emotional tone without fully diving into the audio content. This hinders the shared emotional experience at the pre-retrieval stage. Research scarcely explored “Emotional Teasers”—pre-retrieval cues offering a glimpse into an awaiting message’s emotional tone without disclosing its content. We introduce EmoWear, a smartwatch voice messaging system enabling users to apply 30 animation teasers on message bubbles to reflect emotions. EmoWear eases senders’ choice by prioritizing emotions based on semantic and acoustic processing. EmoWear was evaluated in comparison with a mirroring system using color-coded message bubbles as emotional cues (N=24). Results showed EmoWear significantly enhanced emotional communication experience in both receiving and sending messages. The animated teasers were considered intuitive and valued for diverse expressions. Desirable interaction qualities and practical implications are distilled for future design. We thereby contribute both a novel system and empirical knowledge concerning emotional teasers for voice messaging.
Pengcheng An, Jiawen Stefanie Zhu, Yifei Yin, Qingyuan Ma, Che Yan, Linghao Du, Jian Zhao 0010
CHI6
2023 Evaluating Across-Hinge Dragging with Pen and Touch on Curved and Foldable Displays
abstract
Foldable touch screens are increasingly popular, but little research has explored how the hinge impacts usability and performance. We evaluate across- and along-hinge drag gestures on a series of prototypes emulating foldable all-screen laptops with a curved hinge radius ranging from 1mm to 24mm. Results show that using a large 24mm hinge radius instead of a small 1mm hinge radius can decrease drag time by 13% and movement variability by 7% for touch input. However, hinge radius had no effect on performance for pen input. Further, we found that dragging along the hinge was up to 30% faster than dragging across the hinge, especially when dragging across at an acute angle to the hinge. Using these results, we demonstrate use cases for across- and along-hinge gestures. Our findings provide guidance for hardware and interaction designers seeking to create foldable touchscreen devices and their accompanying software.
Graeme Zinck, Roya Allison Cody, Che Yan, Da-Yuan Huang, Wei Li 0002, Daniel Vogel 0001
CHI3