Evaluating Typing Performance in Different Mixed Reality Manifestations using Physiological Features
Mixed reality enables users to immerse themselves in high-workload interaction spaces like office work scenarios. We envision physiologically adaptive systems that can move users into different mixed reality manifestations, to improve their focus on the primary task. However, it is unclear which manifestation is most conducive for high productivity and engagement. In this work, we evaluate whether physiological indicators for engagement can be discriminated for different manifestations. For this, we engaged participants in a typing task in three different mixed reality manifestations (augmented reality, augmented virtuality, virtual reality) and monitored physiological correlates (EEG, ECG, and eye tracking) of users' engagement and workload. We found that users achieved best typing performances in augmented reality and augmented virtuality. At the same time, physiological engagement peaked in augmented virtuality, while workload decreased. We conclude that augmented virtuality strikes a good balance between the different manifestations, as it facilitates displaying the physical keyboard for improved typing performance and, at the same time, allows one to block out the real world, removing many real-world distractors.
Wed 30 OctDisplayed time zone: Pacific Time (US & Canada) change
16:00 - 17:30 | AsynchronousPapers at On Discord For papers that are not scheduled to be presented during any session. Some of the authors will be available for Q&A at a Discord channel of the conference. Please check your welcome email for the Discord link. | ||
16:00 15mTalk | Investigating Creation Perspectives and Icon Placement Preferences for On-Body Menus in Virtual Reality Papers Xiang Li University of Cambridge, Wei He The Hong Kong University of Science and Technology (Guangzhou), Shan Jin The Hong Kong University of Science and Technology (Guangzhou), Jan Gugenheimer TU Darmstadt, Germany, Pan Hui The Hong Kong University of Science and Technology, Hai-Ning Liang Xi’an Jiaotong-Liverpool University, Per Ola Kristensson University of Cambridge DOI | ||
16:15 15mTalk | A Virtual Reality Approach to Overcome Glossophobia among University Students Papers Aarav Balachandran Indraprastha Institute of Information Technology Delhi,, Prajna Vohra IIIT Delhi, Anmol Srivastava Indraprastha Institute of Information Technology DOI | ||
16:30 15mTalk | Evaluating Typing Performance in Different Mixed Reality Manifestations using Physiological Features Papers Francesco Chiossi LMU Munich, Yassmine El Khaoudi LMU Munich, Changkun Ou LMU Munich, Ludwig Sidenmark University of Toronto, Abdelrahman Zaky University of Konstanz, Tiare Feuchtner University of Konstanz; Aarhus University, Sven Mayer LMU Munich DOI Media Attached | ||
16:45 15mTalk | Towards Adapting CLIP for Gaze Object Prediction Papers DOI | ||
17:00 15mTalk | Experimental Analysis of Freehand Multi-object Selection Techniques in Virtual Reality Head-Mounted Displays Honorable Mention Papers Rongkai Shi The Hong Kong University of Science and Technology (Guangzhou), Yushi Wei The Hong Kong University of Science and Technology (Guangzhou), Xuning Hu Xi'an Jiaotong-Liverpool University, Yu Liu National University of Singapore, Yong Yue Xi’an Jiaotong-Liverpool University, Lingyun Yu Xi'an Jiaotong-Liverpool University, Hai-Ning Liang Xi’an Jiaotong-Liverpool University DOI |