EDBT 2026 Demo / reviewers in the wild / expert
Himanshu Chaturvedi
dblp:167/3398
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author
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 |
Human-AI interaction · 31% Health and well-being technologies · 31% Collaborative and social computing · 31% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies
clinical virtual reality |
0.2 | 1 | 2016 | Effects of Virtual Human Appearance Fidelity on Emotion Contagion in Affective Inter-Personal Simulations · IEEE Trans. Vis. Comput. Graph. 2016 |
Collaborative and social computing › computer-mediated communication
emotional contagion |
0.2 | 1 | 2016 | Effects of Virtual Human Appearance Fidelity on Emotion Contagion in Affective Inter-Personal Simulations · IEEE Trans. Vis. Comput. Graph. 2016 |
Human-AI interaction › virtual agents
virtual human |
0.2 | 1 | 2016 | Effects of Virtual Human Appearance Fidelity on Emotion Contagion in Affective Inter-Personal Simulations · IEEE Trans. Vis. Comput. Graph. 2016 |
Virtual and augmented reality
virtual humans |
0.2 | 1 | 2015 | An evaluation of virtual human appearance fidelity on user's positive and negative affect in human-virtual human interaction · VR 2015 |
Learning and educational technologies
medical education |
0.1 | 1 | 2015 | An evaluation of virtual human appearance fidelity on user's positive and negative affect in human-virtual human interaction · VR 2015 |
Methods — techniques the papers use, named apart from their topics
between-subjects experiment · 0.7electrodermal activity · 0.2differential emotion survey · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Effects of Virtual Human Appearance Fidelity on Emotion Contagion in Affective Inter-Personal SimulationsabstractRealistic versus stylized depictions of virtual humans in simulated inter-personal situations and their ability to elicit emotional responses in users has been an open question for artists and researchers alike. We empirically evaluated the effects of near visually realistic vs. non-realistic stylized appearance of virtual humans on the emotional response of participants in a medical virtual reality system that was designed to educate users in recognizing the signs and symptoms of patient deterioration. In a between-subjects experiment protocol, participants interacted with one of three different appearances of a virtual patient, namely visually realistic, cartoon-shaded and charcoal-sketch like conditions in a mixed reality simulation. Emotional impact were measured via a combination of quantitative objective measures were gathered using skin Electrodermal Activity (EDA) sensors, and quantitative subjective measures such as the Differential Emotion Survey (DES IV), Positive and Negative Affect Schedule (PANAS), and Social Presence questionnaire. The emotional states of the participants were analyzed across four distinct time steps during which the medical condition of the virtual patient deteriorated (an emotionally stressful interaction), and were contrasted to a baseline affective state. Objective EDA results showed that in all three conditions, male participants exhibited greater levels of arousal as compared to female participants. We found that negative affect levels were significantly lower in the visually realistic condition, as compared to the stylized appearance conditions. Furthermore, in emotional dimensions of interest-excitement, surprise, anger, fear and guilt participants in all conditions responded similarly. However, in social emotional constructs of shyness, presence, perceived personality, and enjoyment-joy, we found that participants responded differently in the visually realistic condition as compared to the cartoon and sketch conditions. Our study suggests that virtual human appearance can affect not only critical emotional reactions in affective inter-personal training scenarios. but also users' perceptions of personality and social characteristic of the virtual interlocutors. Matias Volonte, Sabarish V. Babu, Himanshu Chaturvedi, Nathan D. Newsome, Elham Ebrahimi, Tania Roy, Shaundra B. Daily, Tracy Fasolino |
IEEE Trans. Vis. Comput. Graph. | 3 |
| 2015 | An evaluation of virtual human appearance fidelity on user's positive and negative affect in human-virtual human interactionabstractThe effectiveness of visual realism of virtual characters in engaging users and eliciting affective responses has been an open question. We empirically evaluated the effects of realistic vs. non-realistic rendering of virtual humans on the emotional response of participants in a medical virtual reality system that was designed to educate users to recognize the signs and symptoms of patient deterioration. In a between-subjects experiment protocol, participants interacted with one of three different appearances of a virtual patient, namely realistic, non-realistic cartoon-shaded and charcoal-sketch like conditions. Emotional impact of the rendering conditions was measured via a combination of subjective and objective metrics. Himanshu Chaturvedi, Nathan D. Newsome, Sabarish V. Babu |
VR | 1 |