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Kyung Hun Jay Jung

dblp:392/3812 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 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
1 paper
Human-AI interaction · 44% Immersive interaction · 44% Collaborative and social computing · 13%

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

TopicWeightPapersLastEvidence papers
Immersive interaction › virtual reality › presence
social presence in VR
0.812024
Exploring Implicit and Explicit Stimuli of Virtual Agents with Increased Group Size in VR · ISMAR 2024
Human-AI interaction › virtual agents
virtual agent behavior
0.812024
Exploring Implicit and Explicit Stimuli of Virtual Agents with Increased Group Size in VR · ISMAR 2024
Collaborative and social computing › social interaction
group interaction
0.212024
Exploring Implicit and Explicit Stimuli of Virtual Agents with Increased Group Size in VR · ISMAR 2024

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

user study · 0.8psychophysical experiment · 0.8
YearPublicationVenuePosition
2024 Exploring Implicit and Explicit Stimuli of Virtual Agents with Increased Group Size in VR
abstract
It remains unknown whether the virtual agents’ implicit behaviors (e.g., the agent’s eye-gaze shifting) would also cause such an observable effect on the users’ experiences even when the users are not consciously aware of the implicit behaviors of the agents. More importantly, it is unclear whether the effect of the implicit behaviors of agents can be amplified as the agents’ group size increases. To answer these questions, we asked two participant groups ($\mathrm{N}=12$ each) to deliver a public speech in front of the virtual agents showing either an explicit (head movement) or implicit (eye movement) behavior as we manipulated the agents’ group sizes (small, medium, and large). We measured the users’ perceptions, emotions, and behavior (head and eye movements) in the study. A posterior psychophysical experiment confirmed the implicit nature of the eye-movement behavior of the virtual agents (i.e., participants’ detection rate of the eye movements was less than the chance level). The results showed that the explicit behavior of the virtual agents caused the expected participant behavior changes along with negative emotions. In contrast, the implicit behavior of the agents caused largely positive emotions, yet, without significant behavior changes of the participants. Most importantly, as the group size of the virtual agents increased, the degree of their effect on users increased in both the explicit head-movement condition and the implicit eye-movement condition.
Sungchul Jung, Nicholas Wile, Kyung Hun Jay Jung
ISMAR3