EconPapers    
Economics at your fingertips  
 

Does Self-View Mode Generate Video Conferencing Fatigue? An Experiment Using EEG Signals

Jin Xu (), Eoin Whelan (), Ann O’Brien () and Denis O’Hora ()
Additional contact information
Jin Xu: University of Galway
Eoin Whelan: University of Galway
Ann O’Brien: University of Galway
Denis O’Hora: University of Galway

A chapter in Information Systems and Neuroscience, 2024, pp 79-87 from Springer

Abstract: Abstract The ability to see or hide one’s own image is a typical feature of video conferencing platforms. This study will conduct an EEG-based neurobiological experiment to determine if the self-view mode generates video conference fatigue and if this differs between males and females. 40 volunteers will participate in a simulated video conference meeting with the self-view mode on and off at different times. In addition, an EEG-based fatigue monitor will be proposed to demonstrate the level of human mental fatigue. The experimental insights will provide direct biological evidence of the impact of video conferencing features on the user experience and these will be of benefit to inform the design of web conferencing platforms and improve the user experience of video conferencing.

Keywords: Video conference; Fatigue measurement; Self-view; EEG analysis (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-58396-4_8

Ordering information: This item can be ordered from
http://www.springer.com/9783031583964

DOI: 10.1007/978-3-031-58396-4_8

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnichp:978-3-031-58396-4_8