Demo Data from EDBT 2026 / reviewers in the wild / expert
Jianan Zhao 0014
dblp:390/3570
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-4105-1683ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 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 · 50% Haptics and multimodal interaction · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
multisensory interaction |
0.9 | 1 | 2025 | Crossmodal Interactions in Human-Robot Communication: Exploring the Influences of Scent and Voice Congruence on User Perceptions of Social Robots · CHI 2025 |
Human-robot interaction › social robot
social robot perception |
0.9 | 1 | 2025 | Crossmodal Interactions in Human-Robot Communication: Exploring the Influences of Scent and Voice Congruence on User Perceptions of Social Robots · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
between-subjects study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Crossmodal Interactions in Human-Robot Communication: Exploring the Influences of Scent and Voice Congruence on User Perceptions of Social RobotsabstractOlfactory stimuli have demonstrated the potential to evoke emotional depth and enhance user experiences in HCI. Yet, their role in shaping perceptions of social robots remains largely untapped. This study investigates how olfactory (scent) and auditory (voice) stimuli influence user perceptions of social robots. Using a 2x2 between-subjects design, participants interacted with a social robot under conditions with pleasant/unpleasant scents and friendly/unfriendly voices. The study measured perceived trust, friendliness, competence, and engagement. Our findings show that pleasant scents can enhance the perceptions of friendliness and engagement, while friendly voices can improve trust, friendliness, and engagement. The congruent combination of scents and voices affects friendliness and engagement but does not influence trust and competence. This study contributes to the growing work on multi-sensory Human-Robot Interaction (HRI) design, offering implications for creating more socially interactive robots. Fangyuan Chang, Bingliang Chen, Xingguo Zhang, Lin Sheng, Dian Zhu, Jianan Zhao 0014, Zhenyu Gu 0001 |
CHI | 6 |
| 2024 | Rehab-Diary: Enhancing Recovery Identity with an Online Support Group for Middle Aged and Older Ovarian Cancer PatientsabstractOvarian cancer presents significant well-being challenges for middle-aged and older women. Recent research underscores the vital role of recovery identity in predicting wellbeing. However, a research gap exists regarding the influence of online support groups (OSPs) on identity synthesis for middle-aged and older cancer patients. This study introduces "Rehab-Diary," a mobile age-friendly OSP grounded in The Social Identity Model of Identity Change, aimed at helping ovarian cancer patients foster recovery identity. A four-week randomized controlled trial involving 68 participants assessed the OSP's impact. The interface was tailored for ease of use by older individuals. The findings demonstrate the feasibility of utilizing Rehab- Diary among older individuals. The intervention effectively enhanced recovery identity. This study offers evidence-based insights for developing future age-friendly online support interventions, ultimately enhancing ovarian cancer patients' quality of care. Jianan Zhao 0014, Dian Zhu, Fangyuan Chang, Ting Han 0002 |
Proc. ACM Hum. Comput. Interact. | 1 |