Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/161026
Title: | Development and validation of a practical instrument for evaluating players’ familiarity with exergames | Authors: | Zhang, Hao Wang, Di Wang, Yu Chi, Ying Miao, Chunyan |
Keywords: | Engineering::Computer science and engineering | Issue Date: | 2021 | Source: | Zhang, H., Wang, D., Wang, Y., Chi, Y. & Miao, C. (2021). Development and validation of a practical instrument for evaluating players’ familiarity with exergames. International Journal of Human-Computer Studies, 145, 102521-. https://dx.doi.org/10.1016/j.ijhcs.2020.102521 | Project: | Alibaba-NTU-AIR2019B1 MOH/NIC/HAIG03/2017 |
Journal: | International Journal of Human-Computer Studies | Abstract: | Familiarity design has been widely shown to be beneficial for improving players’ perception and adoption of exergames, by reducing their perceived difficulty and complexity. However, players’ perceived familiarity with exergames may differ according to their prior knowledge and experience. There still lacks a validated familiarity instrument for measuring players’ perceived familiarity with a particular exergame. Such an instrument can inform exergame designers on how well familiarity design has been incorporated into the exergame. Moreover, it helps players to choose an exergame that could induce a higher level of familiarity. In this research, we propose a 10-item psychometric familiarity instrument to evaluate a player's perceived familiarity with exergames. The questions in the instrument are developed based on the sub-constructs of familiarity identified in prior research. To validate the proposed familiarity instrument, we rely on electroencephalogram (EEG) data, which may objectively reflect a player's brain activity when familiarity is induced. A study involving 20 participants indicates that the total scores of the instrument is highly correlated with analyzed results from EEG. The study results suggest good validity and high reliability of our proposed familiarity instrument. | URI: | https://hdl.handle.net/10356/161026 | ISSN: | 1071-5819 | DOI: | 10.1016/j.ijhcs.2020.102521 | Schools: | School of Computer Science and Engineering | Research Centres: | Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) | Rights: | © 2020 Elsevier Ltd. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Journal Articles |
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