Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/4904
Title: Affective Computing for Game User Research
Authors: Varinlioğlu, Güzden
Tu, H.
Nagakura, T.
Keywords: Affective Computing
Decision-making
Digital Heritage
Game User Research
Gamification
Wearable Sensors
Publisher: Education and research in Computer Aided Architectural Design in Europe
Abstract: This study examines the spatial and emotional experience facilitated by immersive gaming environments and detected by wearable technologies. We designed, implemented, and tested a serious board game involving simulating the urban networks of the trade routes of the past. We recorded the traces of the players’ collective movements using a ceiling-mounted video camera to record the positions of the markers, and a video camera facing the players to record the players’ behaviors. Wearable devices enabled the recording of players’ emotions during their decision-making process. We captured their emotions with three tools: a GSR to capture participants’ emotional state and arousal level, an EEG to record the changes in their brain activity; and a think-aloud protocol to understand their conscious decisions. Finally, we analyzed the gamers’ measured "feelings" and compared these with the expressed feelings. The longer-term goal is to explore architectural design with special attention to feelings experienced within it by means of affective computing methods such as wearable technologies and biosensors, as well as gamification. © 2023, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
Description: 41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023 -- 20 September 2023 through 22 September 2023 -- 300449
URI: https://doi.org/10.52842/conf.ecaade.2023.2.851
https://hdl.handle.net/20.500.14365/4904
ISBN: 9789491207341
ISSN: 2684-1843
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Files in This Item:
File SizeFormat 
4904.pdf2.92 MBAdobe PDFView/Open
Show full item record



CORE Recommender

Page view(s)

118
checked on Nov 18, 2024

Download(s)

50
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.