Academic Mindtrek 2021 2021
DOI: 10.1145/3464327.3464329
|View full text |Cite
|
Sign up to set email alerts
|

Observing Virtual Avatars: The Impact of Avatars’ Fidelity on Identifying Interactions

Abstract: Figure 1: We investigate the impact of an avatar's fidelity on a bystander's performance when identifying the avatar's touch, mid-air, and eye gaze gestures. We had an abstract avatar (➋) and two more realistic avatars (➌, ➍), which are provided by Microsoft Research [24] and modified based on our investigation. We use touch, mid-air, and eye gaze gestures performed by a human in the real world (➊) as our baseline.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
2
1
1

Relationship

1
7

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 71 publications
0
5
0
Order By: Relevance
“…By displaying a variety of dynamic gestures and expressions, emotions such as joy, anger, sadness and happiness are conveyed through body language. This vivid form of expression allows users to more intuitively feel the information (Mathis et al, 2021) and emotions conveyed by the virtual avatar (Yicong and Xin, 2020), thus deepening their emotional recognition and affection for the virtual avatar, encouraging them to leave comments, share them with other people, pay attention to the subsequent updates, and deepen their impression of the video, thereby consolidating their knowledge learning. Based on the above analysis, this paper proposes the following hypotheses: H7: Virtual avatar expressiveness has a positive effect on learning effect; H8: Virtual avatar expressiveness has a positive effect on emotional experience; H9: Virtual avatar expressiveness has a positive effect on user engagement.…”
Section: Methodsmentioning
confidence: 99%
“…By displaying a variety of dynamic gestures and expressions, emotions such as joy, anger, sadness and happiness are conveyed through body language. This vivid form of expression allows users to more intuitively feel the information (Mathis et al, 2021) and emotions conveyed by the virtual avatar (Yicong and Xin, 2020), thus deepening their emotional recognition and affection for the virtual avatar, encouraging them to leave comments, share them with other people, pay attention to the subsequent updates, and deepen their impression of the video, thereby consolidating their knowledge learning. Based on the above analysis, this paper proposes the following hypotheses: H7: Virtual avatar expressiveness has a positive effect on learning effect; H8: Virtual avatar expressiveness has a positive effect on emotional experience; H9: Virtual avatar expressiveness has a positive effect on user engagement.…”
Section: Methodsmentioning
confidence: 99%
“…games or a collaborative assignment should be further explored to explore the effect of the task on Reality Anchors. Finally, our built VR scenes used digital avatars to represent other passengers, as previous research has shown that increased fidelity is not necessary to convey presence [41], yet further work is needed to explore impromptu interactions between passengers as they typically naturally occur when in transit situations and could not be effectively simulated by digital avatars.…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…There have been a few previous attempts to evaluate co-presence levels when interacting with a virtual human in various XR environments. As a representative research result, Mathis et al explored the perception of virtual humans in virtual environments, and they presented the impact of virtual human's fidelity with respect to interaction [30]. According to another study, Slater et al conducted an experiment in which participants responded appropriately to a negative or positive virtual audience, and the result showed virtual humans are more effective when perceived as humans [31].…”
Section: Co-presence For the Virtual Humanmentioning
confidence: 99%