@inproceedings{a408c23090564e5283de73a362081722,
title = "Balancing different fitness levels in competitive exergames based on heart rate and performance",
abstract = "Combining exercises with game elements (exergaming) is a promising approach to increase physical activity of users not intrinsically motivated to exercise. Multiplayer games are particularly promising, since they add a social (competitive or collaborative) component. However, exercising together can become frustrating if users have vastly different abilities. In this paper, we review existing approaches for balancing differing physical abilities of players in competitive exergames, and based on this, we propose a novel exertion-based balancing formula. In contrast to previous work, we evaluate exertion-based balancing formulas with a moderately complex gameplay and show that it results in closer competitive gameplay and a more enjoyable game experience. The proposed formula can be applied to a wide variety of exergames and has the potential to increase compliance and long-term use of exergames.",
keywords = "Competitive gameplay, Exercise games, Exergames, Game balancing, Heart rate scaling, Motivation",
author = "Bayrak, {Aslihan Tece} and Rahul Kumar and Jak Tan and Devon AhMu and Jordan Hohepa and Shaw, {Lindsay A.} and Christof Lutteroth and W{\"u}nsche, {Burkhard C.}",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery. All rights reserved.; 29th Australian Computer-Human Interaction Conference, OzCHI 2017 ; Conference date: 28-11-2017 Through 01-12-2017",
year = "2017",
month = nov,
day = "28",
doi = "10.1145/3152771.3152794",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "210--217",
editor = "Margot Brereton and Dhaval Vyas and Alessandro Soro and Bernd Ploderer and Jenny Waycott and Ann Morrison",
booktitle = "Proceedings of the 29th Australian Computer-Human Interaction Conference",
}