Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yunlu Ding
dblp:393/6928
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0005-0672-3220ORCID · 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 · 46% Health and well-being technologies · 30% Immersive interaction · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › affective interaction
affective robotics |
0.9 | 1 | 2025 | An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connection · Int. J. Hum. Comput. Stud. 2025 |
Health and well-being technologies › mental health › mental healthcare
anxiety reduction |
0.9 | 1 | 2025 | An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connection · Int. J. Hum. Comput. Stud. 2025 |
Immersive interaction › embodiment › virtual embodiment
avatar embodiment |
0.9 | 1 | 2025 | An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connection · Int. J. Hum. Comput. Stud. 2025 |
Human-robot interaction
robot embodiment |
0.9 | 1 | 2025 | An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connection · Int. J. Hum. Comput. Stud. 2025 |
Health and well-being technologies › mental health
mental health intervention |
0.3 | 1 | 2025 | An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connection · Int. J. Hum. Comput. Stud. 2025 |
Methods — techniques the papers use, named apart from their topics
wizard of oz experiment · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Awareness of Qi: Enhancing Motor Learning of Chinese Kung Fu Through Interactive Visual Effects and Haptic CuesabstractChinese Kung Fu not only emphasizes external techniques and movements but also places great importance on the cultivation of internal states such as Fa Li (force exertion) and Qi (energy control). However, existing motor learning systems predominantly focus on improving movement accuracy, with limited attention to the awareness and guidance of these internal states. Kung Fu films often use visual effects (VFX) to vividly express traditional cultural imagery. Inspired by this, we designed and developed a wearable motor learning system and interactive interface that integrates interactive VFX and haptic feedback to enhance users’ awareness of internal states such as force exertion and Qi, thereby improving both learning effectiveness and user experience. Through prototyping and an exploratory study, we found that the system significantly improved users’ awareness of Qi and force exertion, as well as their overall training experience. In addition, we identified several usability issues and proposed corresponding design improvements. This study introduces a novel visualization framework for internal state cues in Kung Fu training, offering new perspectives and practical approaches for the design of motor learning systems. Jiaxin Zhang 0007, Hualin Zhang, Yunlu Ding, Jun Zhang 0072 |
Int. J. Hum. Comput. Interact. | 3 |
| 2025 | An experimental study on embodiment forms and interaction modes in affective robots for anxiety relief and emotional connectionabstractAffective robots can elicit psychological responses such as attachment and intimacy, which may help alleviate anxiety and enrich users’ emotional experiences. While such robots can take the form of agents (controlled by algorithms) or avatars (controlled by humans or animals), the differential effects of these embodiment forms on users’ emotional responses remain underexplored, particularly in scenarios where avatars are controlled by animals. In this study, we conducted a Wizard of Oz experiment to compare the emotional experience and anxiety relief provided by a robotic cat under different embodiment forms and interaction modes (unidirectional vs. bidirectional). The results indicate that the avatar embodiment significantly enhances users’ affective experiences, fostering stronger emotional bonds and more effective anxiety relief. However, no significant differences were found between the interaction modes with respect to either anxiety relief or emotional outcomes. These findings offer valuable insights for the design of emotionally engaging embodied intelligent systems in contexts such as emotional companionship and mental health interventions. • A wearable robot prototype enables remote interaction between humans and real cats. • Robot embodiment forms and interaction modes affect users’ anxiety and affective experience. • The avatar form leads to greater anxiety relief and stronger affective experiences. • No significant emotional differences are found between interaction modes. Jun Zhang 0072, Yunlu Ding, Hualin Zhang, Xuetao Wei, Qingchuan Li, Jiaxin Zhang 0007 |
Int. J. Hum. Comput. Stud. | 2 |