BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection

Faizan Ahmad*, Yiqiang Chen, Lisha Hu, Shuangquan Wang, Jindong Wang, Zhenyu Chen, Xinlong Jiang, Jianfei Shen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Currently available traditional as well as videogame-based cognitive assessment techniques are inappropriate due to several reasons. This paper presents a novel psychosocial game suite, BrainStorm, for non-invasive cross-generational cognitive capabilities data collection, which additionally provides cross-generational social support. A motivation behind the development of presented game suite is to provide an entertaining and exciting platform for its target users in order to collect gameplay-based cognitive capabilities data in a non-invasive manner. An extensive evaluation of the presented game suite demonstrated high acceptability and attraction for its target users. Besides, the data collection process is successfully reported as transparent and non-invasive.

Original languageEnglish
Pages (from-to)1311-1323
Number of pages13
JournalJournal of Experimental and Theoretical Artificial Intelligence
Volume29
Issue number6
DOIs
Publication statusPublished - 27 Jul 2017
Externally publishedYes

Keywords

  • Inclusive Design
  • adaptability
  • assistive technology
  • brain games
  • leisure activity
  • social participation

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