Analysis of the user acceptance of exergaming (fall- preventive measure) – Tailored for Indian elderly using unified theory of acceptance and use of technology (UTAUT2) model
| Autor: | Nilakshi Yein, Swati Pal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Expectancy theory
Measure (data warehouse) Descriptive statistics 05 social sciences Applied psychology Balance training 020207 software engineering Context (language use) 02 engineering and technology Unified theory of acceptance and use of technology Spearman's rank correlation coefficient Human-Computer Interaction 0202 electrical engineering electronic engineering information engineering Positive relationship 0501 psychology and cognitive sciences Psychology 050107 human factors Software |
| Zdroj: | Entertainment Computing. 38:100419 |
| ISSN: | 1875-9521 |
| DOI: | 10.1016/j.entcom.2021.100419 |
| Popis: | Exergaming is a promising technology for the elderly to achieve balance training requirements. This paper investigates the acceptance of a tailored exergame (Indian context), termed as Therapeutic Stepping Exergame (TSE). The key constructs and the intercorrelation between these constructs contributing in the intention of using it from the consumer context (Indian elderly, N = 27, age: 66.44 ± 5.84 years (mean ± SD)) are done using Unified Theory of Acceptance and Use of Technology (UTAUT2) model and Spearman Correlation analysis. The study used UTAUT2 questionnaire and a semi-structured open-ended questionnaire. The descriptive statistics score for Behavioral Intention (BI) is 4.96 ± 0.107, indicating the high user acceptance of TSE for their balance training. Perform Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), Hedonistic Motivation (HM), Price Value (PV), Habit (H), and BI to use TSE are identified as the Key constructs. The results indicate a strong significant positive relationship between PE, EE, FC, HM, to BI; and moderately strong positive correlations between H, PV, to BI to use of TSE at p |
| Databáze: | OpenAIRE |
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