Exergame Experience of Young and Old Individuals Under Different Difficulty Adjustment Methods

• Main Authors: Oral Kaplan, Goshiro Yamamoto, Takafumi Taketomi, Alexander Plopski, Christian Sandor, Hirokazu Kato
• Format: Article
• Language: English
• Published: MDPI AG 2018-11-01
• Series: Computers
• Subjects: human-computer interaction; exergames; difficulty adjustments; user experiences
• Online Access: https://www.mdpi.com/2073-431X/7/4/59

In this work, we compare the exergaming experience of young and old individuals under four difficulty adjustment methods. Physical inactivity is a leading cause of numerous health conditions including heart diseases, diabetes, cancer, and reduced life expectancy. Committing to regular physical exercise is a simple non-pharmaceutical preventive measure for maintaining good health and sustaining quality of life. Incorporating exercise into games, studies frequently used exergames as an intervention tool over the last decades to improve physical functions and to increase adherence to exercise. While task difficulty optimization is crucial to exergame design, researchers consistently overlooked age as an element which can significantly influence the nature of end results. We use the Flow State Scale to analyze the mental state of young and old individuals to compare constant difficulty with ramping, performance-based, and biofeedback-based difficulty adjustments. Our results indicate that old individuals are less likely to experience flow compared to young under the same difficulty adjustment methods. Further investigation revealed that old individuals are likely to experience flow under ramping and biofeedback-based difficulty adjustments whereas performance-based adjustments were only feasible for young.