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Chikelei Wang

dblp:387/5654 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-1581-6058ORCID · reported

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

Human-computer interaction and ubiquitous computing · 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.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 44% Design research and methods · 44% Personal fabrication and tangible interfaces · 13%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
olfactory interfaces
0.812024
Mul-O: Encouraging Olfactory Innovation in Various Scenarios Through a Task-Oriented Development Platform · UIST 2024

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

workshop study · 0.8API integration · 0.8
YearPublicationVenuePosition
2024 Mul-O: Encouraging Olfactory Innovation in Various Scenarios Through a Task-Oriented Development Platform
abstract
Olfactory interfaces are pivotal in HCI, yet their development is hindered by limited application scenarios, stifling the discovery of new research opportunities. This challenge primarily stems from existing design tools focusing predominantly on odor display devices and the creation of standalone olfactory experiences, rather than enabling rapid adaptation to various contexts and tasks. Addressing this, we introduce Mul-O, a novel task-oriented development platform crafted to aid semi-professionals in navigating the diverse requirements of potential application scenarios and effectively prototyping ideas. Mul-O facilitates the swift association and integration of olfactory experiences into functional designs, system integrations, and concept validations. Comprising a web UI for task-oriented development, an API server for seamless third-party integration, and wireless olfactory display hardware, Mul-O significantly enhances the ideation and prototyping process in multisensory tasks. This was verified by a 15-day workshop attended by 30 participants. The workshop produced seven innovative projects, underscoring Mul-O’s efficacy in fostering olfactory innovation.
Peizhong Gao, Fan Liu 0021, Di Wen 0008, Yuze Gao, Linxin Zhang, Chikelei Wang, Yu Zhang 0124, Shao-en Ma, Qi Lu 0001, Haipeng Mi, Ying-Qing Xu
UIST6