Virtual-reality exergaming improves performance during high-intensity interval training

Abstract Purpose: To determine if: (i) mean power output and enjoyment of high-intensity interval training (HIIT) are enhanced by virtual-reality (VR)-exergaming (track mode) compared to standard ergometry (blank mode), (ii) if mean power output of HIIT can be increased by allowing participants to race against their own performance (ghost mode) or by increasing the resistance (hard mode), without compromising exercise enjoyment. Methods: Sixteen participants (8 males, 8 females, VO2max: 41.2 ± 10.8 ml−1·kg−1·min−1) completed four VR-HIIT conditions in a partially-randomised cross-over study; (1a) blank, (1b) track, (2a) ghost, and (2b) hard. VR-HIIT sessions consisted of eight 60 s high-intensity intervals at a resistance equivalent to 70% (77% for hard) maximum power output (PMAX), interspersed by 60 s recovery intervals at 12.5% PMAX, at a self-selected cadence. Expired gases were collected and VO2 measured continuously. Post-exercise questionnaires were administered to identify differences in indices related to intrinsic motivation, subjective vitality, and future exercise intentions. Results: Enjoyment was higher for track vs. blank (difference: 0.9; 95% CI: 0.6, 1.3) with no other differences between conditions. There was no difference in mean power output for track vs. blank, however it was higher for track vs. ghost (difference: 5 Watts; CI: 3, 7), and hard vs. ghost (difference: 19 Watts; 95% CI: 15, 23). Conclusions: These findings demonstrate that VR-exergaming is an effective intervention to increase enjoyment during a single bout of HIIT in untrained individuals. The presence of a ghost may be an effective method to increase exercise intensity of VR-HIIT.

[1]  M. Gibala,et al.  Faculty of 1000 evaluation for HIIT in the Real World: Outcomes from a 12-Month Intervention in Overweight Adults. , 2018 .

[2]  Martin J. MacInnis,et al.  Physiological adaptations to interval training and the role of exercise intensity , 2017, The Journal of physiology.

[3]  Adrian W Midgley,et al.  Competitor presence reduces internal attentional focus and improves 16.1km cycling time trial performance. , 2015, Journal of science and medicine in sport.

[4]  J. Little,et al.  Changes in mechanisms proposed to mediate fat loss following an acute bout of high-intensity interval and endurance exercise. , 2013, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[5]  David M Williams,et al.  Self-efficacy versus perceived enjoyment as predictors of physical activity behaviour , 2016, Psychology & health.

[6]  G. Sporiš,et al.  Effectiveness of High-Intensity Interval Training (HIT) and Continuous Endurance Training for VO2max Improvements: A Systematic Review and Meta-Analysis of Controlled Trials , 2015, Sports Medicine.

[7]  R. Thelwell,et al.  Influence of competition on performance and pacing during cycling exercise. , 2012, Medicine and science in sports and exercise.

[8]  Alan M. Batterham,et al.  High-intensity interval exercise training for public health: a big HIT or shall we HIT it on the head? , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[9]  Charles Faure,et al.  Virtual Reality Gaming Elevates Heart Rate but Not Energy Expenditure Compared to Conventional Exercise in Adult Males , 2019, International journal of environmental research and public health.

[10]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[11]  Katrina Taylor,et al.  High-intensity interval and moderate-intensity continuous training elicit similar enjoyment and adherence levels in overweight and obese adults , 2017, European journal of sport science.

[12]  T. Moholdt,et al.  Game on: a cycling exergame can elicit moderate-to-vigorous intensity. A pilot study , 2020, BMJ Open Sport & Exercise Medicine.

[13]  Javier Monedero,et al.  Interactive Video Game Cycling Leads to Higher Energy Expenditure and Is More Enjoyable than Conventional Exercise in Adults , 2015, PloS one.

[14]  Demis Basso,et al.  The role of the feedforward paradigm in cognitive psychology , 2006, Cognitive Processing.

[15]  J. Little,et al.  Where Does HIT Fit? An Examination of the Affective Response to High-Intensity Intervals in Comparison to Continuous Moderate- and Continuous Vigorous-Intensity Exercise in the Exercise Intensity-Affect Continuum , 2014, PloS one.

[16]  P. Thompson,et al.  ACSM's Guidelines for Exercise Testing and Prescription , 1995 .

[17]  R J Shephard,et al.  Revision of the Physical Activity Readiness Questionnaire (PAR-Q). , 1992, Canadian journal of sport sciences = Journal canadien des sciences du sport.

[18]  T. Astorino,et al.  Dissimilar Physiological and Perceptual Responses Between Sprint Interval Training and High-Intensity Interval Training , 2016, Journal of strength and conditioning research.

[19]  Joshua M Tebbs,et al.  How accurate are parental responses concerning their fourth-grade children's school-meal participation, and what is the relationship between children's body mass index and school-meal participation based on parental responses? , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[20]  R. Ryan,et al.  Exercise, physical activity, and self-determination theory: A systematic review , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[21]  J. Annesi,et al.  Effects of music, television, and a combination entertainment system on distraction, exercise adherence, and physical output in adults. , 2001 .

[22]  A E Jeukendrup,et al.  Measurement of substrate oxidation during exercise by means of gas exchange measurements. , 2005, International journal of sports medicine.

[23]  S. Blair,et al.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy , 2012, BDJ.

[24]  G. Borg Psychophysical bases of perceived exertion. , 1982, Medicine and science in sports and exercise.

[25]  J. Coombes,et al.  The Impact of High-Intensity Interval Training Versus Moderate-Intensity Continuous Training on Vascular Function: a Systematic Review and Meta-Analysis , 2015, Sports Medicine.

[26]  Christof Lutteroth,et al.  Competition and cooperation with virtual players in an exergame , 2016, PeerJ Comput. Sci..

[27]  Ryan E Rhodes,et al.  The health benefits of interactive video game exercise. , 2007, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

[28]  Eduardo Caldas Costa,et al.  Feeling of Pleasure to High-Intensity Interval Exercise Is Dependent of the Number of Work Bouts and Physical Activity Status , 2016, PloS one.

[29]  Tobias Loetscher,et al.  Exergaming: Feels good despite working harder , 2017, PloS one.

[30]  K. M. Martin Ginis,et al.  A scoping review of the psychological responses to interval exercise: is interval exercise a viable alternative to traditional exercise? , 2017, Health psychology review.

[31]  K. Meredith-Jones,et al.  High-Intensity Interval Training in the Real World: Outcomes from a 12-Month Intervention in Overweight Adults , 2018, Medicine and science in sports and exercise.

[32]  Mark R. Beauchamp,et al.  High-Intensity Interval Training as an Efficacious Alternative to Moderate-Intensity Continuous Training for Adults with Prediabetes , 2015, Journal of diabetes research.

[33]  R. Ryan,et al.  On energy, personality, and health: subjective vitality as a dynamic reflection of well-being. , 1997, Journal of personality.

[34]  R. Ryan,et al.  Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. , 1982 .

[35]  Will G. Hopkins,et al.  Effects of Low-Volume High-Intensity Interval Training (HIT) on Fitness in Adults: A Meta-Analysis of Controlled and Non-Controlled Trials , 2014, Sports Medicine.

[36]  Anna Lisa Martin-Niedecken,et al.  Let the Body’n’Brain Games Begin: Toward Innovative Training Approaches in eSports Athletes , 2020, Frontiers in Psychology.

[37]  T. Astorino,et al.  High-Intensity Interval Training Elicits Higher Enjoyment than Moderate Intensity Continuous Exercise , 2017, PloS one.

[38]  Christof Lutteroth,et al.  Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming , 2018, CHI.

[39]  J. Hawley,et al.  Physiological adaptations to low‐volume, high‐intensity interval training in health and disease , 2012, The Journal of physiology.

[40]  A. Bauman,et al.  Correlates of adults' participation in physical activity: review and update. , 2002, Medicine and science in sports and exercise.

[41]  Nikos Ntoumanis,et al.  University of Birmingham In the beginning: role of autonomy support on the motivation, mental health and intentions of participants entering an exercise referral scheme. , 2013 .

[42]  Denver M. Y. Brown,et al.  Effects of autonomous motivational priming on motivation and affective responses towards high-intensity interval training , 2016, Journal of sports sciences.

[43]  R. Dishman,et al.  Increasing physical activity: a quantitative synthesis. , 1996, Medicine and science in sports and exercise.

[44]  K. Frayn,et al.  Calculation of substrate oxidation rates in vivo from gaseous exchange. , 1983, Journal of applied physiology: respiratory, environmental and exercise physiology.

[45]  K Khunti,et al.  The effects of high‐intensity interval training on glucose regulation and insulin resistance: a meta‐analysis , 2015, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[46]  Ryan E Rhodes,et al.  Predicting the effect of interactive video bikes on exercise adherence: An efficacy trial , 2009, Psychology, health & medicine.

[47]  Konstantinos Chorianopoulos,et al.  Exergaming can be an innovative way of enjoyable high-intensity interval training , 2017, BMJ Open Sport & Exercise Medicine.