Page: 1 2 3 4 5 6 7... 279
| 41 |
Realistic motion avatars are the future for social interaction in virtual reality
|
|
|
|
In: Research outputs 2022 to 2026 (2022)
|
|
Abstract:
This study evaluated participant self-reported appraisal of social interactions with another person in virtual reality (VR) where their conversational partner was represented by a realistic motion avatar. We use the term realistic motion avatar because: 1. The avatar was modelled to look like the conversational partner it represented, and 2. Full face and body motion capture was utilised so that the avatar mimicked the facial and body language of the conversational partner in real-time. We compared social interaction in VR with face-to-face interaction across two communicative contexts: 1. Getting acquainted conversation, and 2. A structured interview where the participant engaged in self-disclosure about positive and negative experiences. Overall, participants largely indicated they preferred face-to-face over VR communication. However, some participants did indicate a preference for VR communication. Additionally, an analysis of post-conversation ratings indicated no significant difference for rated enjoyment, understanding, self-disclosure, comfort, and awkwardness between communication modes. The only ratings where face-to-face was found to be superior was for perceived closeness across both types of communication, and for feeling understood specifically when disclosing negative experiences. Most participants perceived frequent eye contact in both face-to-face and VR interaction, but typically more eye contact when face-to-face. Eye contact was positively associated with rated enjoyment, closeness, and comfort. Overall, our findings suggest that harnessing full face and body motion capture can make social interaction in VR very similar to face-to-face interaction. We anticipate that VR social interaction is poised to become the next major technological evolution for human computer mediated communication and suggest avenues for further research.
|
|
Keyword:
avatar; computer mediated communication (CMC); Computer Sciences; eye contact; face-to-face (dyadic) communication; motion capture (Mocap); Physical Sciences and Mathematics; self-disclosure; social interaction; virtual reality
|
|
URL: https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=1159&context=ecuworks2022-2026
https://ro.ecu.edu.au/ecuworks2022-2026/160
|
|
BASE
|
|
Hide details
|
|
|
| 42 |
Mutual Understanding in Situated Interactions with Conversational User Interfaces : Theory, Studies, and Computation
|
|
|
|
BASE
|
|
Show details
|
|
|
| 43 |
Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
|
|
Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
|
|
BASE
|
|
Show details
|
|
|
| 44 |
Identifying Learners’ Interaction Patterns in an Online Learning Community
|
|
|
|
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2245 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 45 |
Analysis of Faecal Microbiota and Small ncRNAs in Autism: Detection of miRNAs and piRNAs with Possible Implications in Host–Gut Microbiota Cross-Talk
|
|
|
|
In: Nutrients; Volume 14; Issue 7; Pages: 1340 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 46 |
Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy
|
|
|
|
In: Sensors; Volume 22; Issue 8; Pages: 3027 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 47 |
The Seeds of the Noun–Verb Distinction in the Manual Modality: Improvisation and Interaction in the Emergence of Grammatical Categories
|
|
|
|
In: Languages; Volume 7; Issue 2; Pages: 95 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 48 |
Emotion Classification from Speech and Text in Videos Using a Multimodal Approach
|
|
|
|
In: Multimodal Technologies and Interaction; Volume 6; Issue 4; Pages: 28 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 49 |
Influence of Highly Inflected Word Forms and Acoustic Background on the Robustness of Automatic Speech Recognition for Human–Computer Interaction
|
|
|
|
In: Mathematics; Volume 10; Issue 5; Pages: 711 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 50 |
Research on Speech Emotion Recognition Based on AA-CBGRU Network
|
|
|
|
In: Electronics; Volume 11; Issue 9; Pages: 1409 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 51 |
Backpropagation of Spirit: Hegelian Recollection and Human-A.I. Abductive Communities
|
|
|
|
In: Philosophies; Volume 7; Issue 2; Pages: 36 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 52 |
Getting Students to Talk: A Practice-Based Study on the Design and Implementation of Problem-Solving Tasks in the EFL Classroom
|
|
|
|
In: Languages; Volume 7; Issue 2; Pages: 75 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 53 |
Language Play with Formulas in an EFL Classroom
|
|
|
|
In: Languages; Volume 7; Issue 1; Pages: 63 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 54 |
Translation Alignment with Ugarit
|
|
|
|
In: Information; Volume 13; Issue 2; Pages: 65 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 55 |
Towards a Sociolinguistics-Based Framework for the Study of Politeness in Human-Computer Interaction ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 56 |
Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 57 |
Modern Views on Infidelity
|
|
|
|
In: Georgia Southern University Research Symposium (2022)
|
|
BASE
|
|
Show details
|
|
|
| 58 |
Language learning through interaction: Online and in the classroom
|
|
|
|
In: The Coastal Review: An Online Peer-reviewed Journal (2022)
|
|
BASE
|
|
Show details
|
|
|
| 59 |
Affect-enhancing speech characteristics - the influence of verbal and prosodic components ...
|
|
|
|
BASE
|
|
Show details
|
|
|
Page: 1 2 3 4 5 6 7... 279 |
|
