Paper Info
Title
Personalized Serious Games for Cognitive Intervention with Lifelog Visual Analytics.
Abstract
This paper presents a novel serious game app and a method to cre- ate and integrate personalized game content based on lifelog visual analytics. The main objective is to extract personalized content from visual lifelogs, integrate it into mobile games, and evaluate the effect of personalization on user experience. First, a suite of visual analysis methods is proposed to extract semantic informa- tion from visual lifelogs and discover the association among the lifelog entities. The outcome is dataset that contains augmented and personal lifelog images. Next, a mobile game app is developed that makes use of the dataset as game content. Finally, an experiment is conducted to evaluate user gameplay behaviors in the wild over three months, where a mixture of generic and personalized game content is deployed. It is observed that user adherence is heightened by personalized game content as compared to generic content. Also observed is a higher enjoyment level in personalized than generic game content. The result provides the first empirical evidence of the effect of personalized games on user adherence and preference for cognitive intervention. This work paves the way for effective cognitive training with user-generated content.
Year
DOI
Venue
2018
10.1145/3240508.3240598
MM '18: ACM Multimedia Conference Seoul Republic of Korea October, 2018
Keywords
Field
DocType
Serious games, lifelog, visual analytics, cognitive intervention
Lifelog,User experience design,Cognitive Intervention,Suite,Empirical evidence,Computer science,Visual analytics,Multimedia,Personalization,Cognitive training
Conference
ISBN
Citations 
PageRank 
978-1-4503-5665-7
0
0.34
References 
Authors
17
9
Name
Order
Citations
PageRank
Qianli Xu19015.17
Subbaraju, V.215715.53
Chee How Cheong300.34
Aijing Wang400.34
Kathleen Kang500.34
Munirah Bashir600.34
Yanhong Dong700.34
Liyuan Li891261.31
Joo-Hwee Lim902.70