TY - GEN
T1 - Designing and Evaluating MahjongBrain
T2 - 25th International Conference on Human-Computer Interaction, HCII 2023
AU - Yang, Jiaoyun
AU - Jiang, Richu
AU - Ding, Huitong
AU - Au, Rhoda
AU - Chen, Jinying
AU - Li, Clara
AU - An, Ning
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
PY - 2023
Y1 - 2023
N2 - Early detection of cognitive decline is of utmost importance, as research suggests that certain risk factors can be modified to slow down or even prevent the onset of Alzheimer’s disease. However, traditional cognitive assessments require a significant amount of time and resources, which can burden both the participants and the clinicians administering the tests. This study developed a new digital cognitive assessment tool called MahjongBrain that incorporates Mahjong elements into eight digital games to improve engagement and interest among older adults during the assessment process. After presenting the software framework, assessment content, and system implementation, we conduct the usability test on 5 participants (mean age 65 years old, 20% women) in Anhui, China. The results demonstrate that the MahjongBrain is user-friendly for older adults, with the majority of participants reporting positive attitudes towards it (mean system usability scale score: 74). Furthermore, we introduce three novel digital measures which could be utilized by machine learning methods to detect subtle changes in cognitive function, including a) the scores and time to completion for each test within each cognitive domain, b) the time-stamped coordinates from the finger tracking, and c) the position of the screen as the participant is playing the games. These initial findings indicate the innovation and transformation of MahjongBrain in cognitive assessment, although further usability and validation tests are needed.
AB - Early detection of cognitive decline is of utmost importance, as research suggests that certain risk factors can be modified to slow down or even prevent the onset of Alzheimer’s disease. However, traditional cognitive assessments require a significant amount of time and resources, which can burden both the participants and the clinicians administering the tests. This study developed a new digital cognitive assessment tool called MahjongBrain that incorporates Mahjong elements into eight digital games to improve engagement and interest among older adults during the assessment process. After presenting the software framework, assessment content, and system implementation, we conduct the usability test on 5 participants (mean age 65 years old, 20% women) in Anhui, China. The results demonstrate that the MahjongBrain is user-friendly for older adults, with the majority of participants reporting positive attitudes towards it (mean system usability scale score: 74). Furthermore, we introduce three novel digital measures which could be utilized by machine learning methods to detect subtle changes in cognitive function, including a) the scores and time to completion for each test within each cognitive domain, b) the time-stamped coordinates from the finger tracking, and c) the position of the screen as the participant is playing the games. These initial findings indicate the innovation and transformation of MahjongBrain in cognitive assessment, although further usability and validation tests are needed.
KW - Digital Cognitive Assessment
KW - Gamification
KW - Mahjong
KW - Usability Test
UR - http://www.scopus.com/inward/record.url?scp=85184837735&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-48041-6_19
DO - 10.1007/978-3-031-48041-6_19
M3 - Conference contribution
AN - SCOPUS:85184837735
SN - 9783031480409
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 264
EP - 278
BT - HCI International 2023 - Late Breaking Papers - 25th International Conference on Human Computer Interaction HCII 2023, Proceedings
A2 - Gao, Qin
A2 - Zhou, Jia
A2 - Duffy, Vincent G.
A2 - Antona, Margherita
A2 - Stephanidis, Constantine
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 July 2023 through 28 July 2023
ER -