Ziming Fang

dblp:356/7919 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0002-9255-2509ORCID · 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
1 paper
Human-robot interaction · 77% Collaborative and social computing · 23%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
emotion expression
1.012026
Sentiment-based robot sonification can enhance comprehension, emotional meaning and engagement in the fairy tale listening: A preliminary study · Int. J. Hum. Comput. Stud. 2026
Audio and music processing
sonification
0.312026
Sentiment-based robot sonification can enhance comprehension, emotional meaning and engagement in the fairy tale listening: A preliminary study · Int. J. Hum. Comput. Stud. 2026
Collaborative and social computing › creative work › creative practice
storytelling
0.312026
Sentiment-based robot sonification can enhance comprehension, emotional meaning and engagement in the fairy tale listening: A preliminary study · Int. J. Hum. Comput. Stud. 2026
YearPublicationVenuePosition
2026 Sentiment-based robot sonification can enhance comprehension, emotional meaning and engagement in the fairy tale listening: A preliminary study
Yeaji Lee, Sophie Thompsen, Ziming Fang, Myounghoon Jeon 0001
Int. J. Hum. Comput. Stud.3
2023 Novel In-Vehicle Gesture Interactions: Design and Evaluation of Auditory Displays and Menu Generation Interfaces
abstract
Using in-vehicle infotainment systems degrades driving performance and increases crash risk. To address this, we developed air gesture interfaces using various auditory displays. Thirty-two participants drove a simulator with air-gesture menu navigation tasks. A 4x2 mixed-model design was used to explore the effects of auditory displays as a within-subjects variable (earcons, auditory icons, spearcons, and no-sound) and menu-generation interfaces as a between-subjects variable (fixed and adaptive) on driving performance, secondary task performance, eye glance, and user experience. The adaptive condition centered the menu around the user’s hand position at the moment of activation, whereas the fixed condition located the menu always at the same position. Results demonstrated that spearcons provided the least visual distraction, least workload, best system usability and was favored by participants; and that fixed menu generation outperformed adaptive menu generation in driving safety and secondary task performance. Findings will inform design guidelines for in-vehicle air-gesture interaction systems.
Moustafa Tabbarah, Yusheng Cao, Ahmad Abu Shamat, Ziming Fang, Myounghoon Jeon 0001
AutomotiveUI4