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Background Exergames are interactive video games that stimulate an active, whole-body gaming experience (Best, 2013). By combining electronic entertainment with physical exercise, exergames offer novel opportunities to expand physical activity in different age groups and settings. Even though studies have found a significant increase in energy expenditure when playing exergames compared to normal video games, most games only induce low to moderate-intensity activity which is too low to result in relevant physical adjustments (Biddiss & Irwin, 2010). This study assessed the effects of an 8-week exergame-training (EXT) in an innovative exergame called the ExerCube and compared it with a typical moderate-intensity endurance training (ET) intervention. Methods In total, 19 individuals (10 female; age 26.9 ±8.7 years; body mass index (BMI) 23.6 ±3.1 kg/m2) participated and were block randomized into an EXT group (n = 9) and an ET group (n = 10). Throughout the 8-week intervention period, the EXT group attended 20-30-minutes of EXT three times a week while the ET group completed 15-45-minutes of ET (jogging/cycling at 65-75% of maximal heart rate) three times a week. Before and after the intervention BMI, systolic and diastolic blood pressure, and VO2max (spiroergometry; start: 50 or 75 W; increment: 25 W/min) were assessed and compared (paired-samples t-test, ANOVA). Results Significant time × group interaction effects were found for VO2max (F(1,17) = 11.345; p = .004, ηp2 = .400). The EXT group revealed significant within-group effects in VO2max from pre (43.2 ±10.6 ml/kg*min) to post (46.9 ±10.9 ml/kg*min; p = .004, d = 1.308) while the ET group revealed no significant changes (pre: 39.4 ±5.4 ml/kg*min; post: 39.7 ±4.9 ml/kg*min; p = .466, d = .241). No significant time × group interaction effects were detected in systolic blood pressure (F(1,17) = .050; p = .825, ηp2 = .003) or diastolic blood pressure (F(1,17) = .005; p = .943, ηp2 = .000). However, there was a significant decrease in the peripheral systolic blood pressure from pre (122 ±10 mmHg) to post (117 ±12 mmHg; p = .034, d = .792) in the ET group but not in the EXT group (pre: 118 ±8; post: 114 ±7; p = .156, d = .523). Concerning BMI, no significant interaction effects (F(1,17) = 2.818; p = .111, ηp2 = .142) were detected. Conclusions The EXT seems to be more effective as conventional ET exercise approach to improve endurance performance. This is promising as exergame may develop intrinsic motivation/enjoyment for physical activity. Further studies confirming these findings and extending to psychological variables are needed. References Best, J. R. (2013). Exergaming in youth: Effects on physical and cognitive health. Zeitschrift für Psychologie, 221(2), 72-78. https://doi.org/10.1027/2151-2604/a000137 Biddiss, E., & Irwin, J. (2010). Active video games to promote physical activity in children and youth: A systematic review. Archives of Pediatrics & Adolescent Medicine, 164(7), 664-672. https://doi.org/10.1001/archpediatrics.2010.104

Physical inactivity remains one of the biggest societal challenges of the 21st century. The gaming industry and the fitness sector have responded to this alarming fact with game-based or gamified training scenarios and thus established the promising trend of exergaming. Exergames—games played with the (whole) body as physical input—have been extolled as potential attractive and effective training tools. Simultaneously, researchers and designers are still exploring new approaches to exploit the full potential of this innovative and enjoyable training method. One way to boost the attractiveness and effectiveness of an exergame is to individualize it with game adaptations. A physiological parameter that is often used to balance the physical challenge and intensity of exergames to the player's fitness skills is the heart rate (HR). Therefore, researchers and designers often rely on age-based, maximum HR (HRmax) formulas originating from performance diagnostics. In combination with the player's assessed real-time HR during an exergame session, the pre-determined HRmax is used to adapt the game's challenge to reach a pre-defined HR and physical intensity level (in-exergame adaptations), respectively. Although the validity and reliability of these age-based HRmax formulas were proven in heterogeneous target populations, their use is still often criticized as HR is an individual parameter that is affected by various internal and external factors. So far, no study has investigated whether the formula-based pre-calculated HRmax compared to a standardized individually pre-assessed HRmax elicits different training intensities, training experiences, and flow feelings in an exergame. Therefore, we compared both variants for in-exergame adaptation with the ExerCube – a functional high-intensity interval training exergame – in healthy young adults. Comparing the results of the two conditions, no significant differences were found for HR parameters and perceived physical and cognitive exertion, nor for overall flow feelings and physical activity enjoyment. Thus, the formula-based in-exergame adaptation approach was suitable in the presented study population, and the ExerCube provided an equally reliable in-exergame adaptation and comparable exergame play experiences. We discuss our findings in the context of related work on exergame adaptation approaches and draw out some implications for future adaptive exergame design and research topics. [ABSTRACT FROM AUTHOR]