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Hao-Peng Yuan

dblp:436/7048 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-7008-3575ORCID · reported

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%
Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 77% Haptics and multimodal interaction · 23%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
1.012026
Guiding Auditory AR: A VR-Based Evaluation of Visual and Tactile Cues for Sound Localization for Cochlear Implant Users · IEEE Trans. Vis. Comput. Graph. 2026
Virtual and augmented reality › augmented reality
augmented reality audio
1.012026
Guiding Auditory AR: A VR-Based Evaluation of Visual and Tactile Cues for Sound Localization for Cochlear Implant Users · IEEE Trans. Vis. Comput. Graph. 2026
Accessibility and assistive technology
deaf and hard of hearing technology
1.012026
Guiding Auditory AR: A VR-Based Evaluation of Visual and Tactile Cues for Sound Localization for Cochlear Implant Users · IEEE Trans. Vis. Comput. Graph. 2026
Haptics and multimodal interaction › haptic feedback
vibrotactile feedback
0.312026
Guiding Auditory AR: A VR-Based Evaluation of Visual and Tactile Cues for Sound Localization for Cochlear Implant Users · IEEE Trans. Vis. Comput. Graph. 2026

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

within-subjects study · 2.0VR-based evaluation · 2.0NASA-TLX · 2.0
YearPublicationVenuePosition
2026 Guiding Auditory AR: A VR-Based Evaluation of Visual and Tactile Cues for Sound Localization for Cochlear Implant Users
abstract
The inability of cochlear implant (CI) users to accurately localize sound sources poses daily safety risks and impedes social communication. While future augmented reality (AR) glasses are an ideal platform for delivering real-time visual and tactile assistive cues, their potential is hampered by a critical knowledge gap: how to design effective, non-distracting interfaces for this specific user group. To address this, we introduce a novel methodological approach using a virtual reality (VR) platform with high-fidelity color passthrough. This platform functions as an ecologically valid yet fully controllable testbed that faithfully simulates a future AR experience. Within this environment, we conducted a within-subjects study with 16 CI users to systematically evaluate three non-auditory cueing strategies: 1) Visual-Only, using color-coded peripheral widgets; 2) Tactile-Only, via a custom 8-channel vibrotactile array; and 3) a combined visuo-tactile Multimodal approach. We rigorously measured localization accuracy (absolute angular error), reaction time, front-back confusion rates, and subjective cognitive load (NASA-TLX). Our results reveal a critical performance-load trade-off: the multimodal strategy yielded the highest accuracy, reducing the mean error from 85.3° to 8.1°, but also imposed the greatest cognitive load. Conversely, the tactile-only strategy offered a compelling balance, significantly improving performance while being rated as the least cognitively demanding. From this analysis, we derive foundational insights and a set of evidence-based design guidelines to inform the creation of more effective and usable auditory awareness systems on future AR platforms.
Zi-Qiang He, Yuepeng Yan, Hao-Peng Yuan
IEEE Trans. Vis. Comput. Graph.5