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Yaqiong Luo

dblp:416/0712 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0009-4221-7885ORCID · corroborated

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

Computer networks · 1 · 1 since 2021Human-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
2 papers
Collaborative and social computing · 27% Human-robot interaction · 27% Health and well-being technologies · 23%
Artificial intelligence
1 paper
Segmentation and scene understanding · 100%

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

TopicWeightPapersLastEvidence papers
Collaborative and social computing
creative collaboration
1.012026
From Tool to Partner: Expressive Behaviors as the Bridge to Human-Robot Creative Collaboration · CHI 2026
Human-robot interaction › emotion expression
expressive robot behavior
1.012026
From Tool to Partner: Expressive Behaviors as the Bridge to Human-Robot Creative Collaboration · CHI 2026
Wearable and physiological sensing
camera-based sensing
0.912025
PIT: A Novel Toothbrush Providing Real-Time and Robust Plaque Indication During Brushing · MobiSys 2025

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

optical channel modeling · 1.7knowledge distillation · 1.7deep neural network · 1.7within-subject study · 1.0thematic analysis · 1.0formative study · 1.0
YearPublicationVenuePosition
2026 From Tool to Partner: Expressive Behaviors as the Bridge to Human-Robot Creative Collaboration
abstract
Human–robot creative collaboration is often constrained by command–response paradigms that position robots as tools rather than partners. While expressive robotics has shown social values, its role and behaviors in shaping creative partnerships with humans remains underexplored. Therefore, we investigate how robots’ expressive behaviors influence co-creative engagement. In a formative study with 5 participants, we identified design insights for users to perceive a robot arm’s expressive behaviors. We then implemented these expressive behaviors and conducted a within-subject study with 18 participants, comparing functional-only and expressive conditions in figure drawing tasks. Results showed that expressive behaviors significantly enhanced human-robot collaboration where they shifted from viewing the robot as a tool to a partner with a stronger emotional connection and collaborative satisfaction. Our contributions include empirical evidence of partnership transformation and design insights for facilitating human-robot creative collaboration.
Yaqiong Luo, Ray LC, Kaishun Wu, Xin Tong 0004
CHI3
2025 PIT: A Novel Toothbrush Providing Real-Time and Robust Plaque Indication During Brushing
abstract
The dental plaque disclosing agent helps guide plaque removal by revealing plaque on the teeth. However, existing toothbrushes cannot provide visualization of the stained plaque beneath the toothpaste foam during brushing. To fill this gap, this paper proposes PIT and uses smartphone to provide real-time plaque visualization during brushing. PIT introduces novel hardware, including a micro camera, four green LEDs, and a mechanical structure, offering a stable camera view of bristle position and bristle rotation. To address the challenge of toothpaste foam obstruction, we derived an optical channel model that guided the design of the light source to enhance plaque visibility. Furthermore, we designed a deep neural network specifically for plaque segmentation under thick foam. Finally, the trained distilled student model was run on a smartphone and evaluated on both denture models and human subjects. The results show that PIT achieved an IoU (Intersection over Union) of 75.22% and a latency of 29 ms, with robust performance across various conditions. Evaluation by 10 participants revealed that PIT helped reduce plaque coverage to 5.6% within two minutes of brushing, significantly outperforming existing advanced toothbrushes.
Kaixin Chen 0002, Junfan Xiang, Wanying Tan, Yaqiong Luo, Kaishun Wu, Lu Wang 0002
MobiSys5