Abstract
Social virtual reality is getting mainstream not only for entertainment purposes but also for productivity and education. This makes the design of social VR scenarios functional to support the operator's performance. We present a physiologically-adaptive system that optimizes for visual complexity in a dual-task scenario based on electrodermal activity. Specifically, we propose a system that adapts the amount of non-player characters while jointly performing an N-Back task (primary) and visual detection task (secondary). Our preliminary results show that when optimizing the complexity of the secondary task, users report an improved user experience.
Original language | English |
---|---|
Title of host publication | 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) |
Publisher | IEEE |
Pages | 578-579 |
Number of pages | 2 |
ISBN (Electronic) | 978-1-6654-8402-2 |
ISBN (Print) | 978-1-6654-8403-9 |
DOIs | |
Publication status | Published - 16 Mar 2022 |
MoE publication type | A4 Conference publication |
Event | IEEE Conference on Virtual Reality and 3D User Interfaces - Christchurch, New Zealand Duration: 12 Mar 2022 → 16 Mar 2022 https://ieeevr.org/2022/ |
Conference
Conference | IEEE Conference on Virtual Reality and 3D User Interfaces |
---|---|
Country/Territory | New Zealand |
City | Christchurch |
Period | 12/03/2022 → 16/03/2022 |
Internet address |
Keywords
- Productivity
- Human computer interaction
- Visualization
- Three-dimensional displays
- Conferences
- Virtual reality
- Physiology