Developing a novel psychographic-behavioral qualitative mapping method for exergames

Authors

DOI:

https://doi.org/10.17083/ijsg.v8i2.422

Keywords:

Augmented reality; Exergames; Harry Potter: Wizards Unite; Pokémon GO; Physical activity; Player typologies; Psychographics

Abstract

Location-based augmented reality games, used in several smartphone devices, have the potential to improve health outcomes by transforming gaming from a sedentary leisure pursuit to an active leisure pursuit thus having positive physical, psychological and social implications. We consider two games, Harry Potter: Wizards Unite and Pokémon GO, by qualitatively mapping both psychographic and behavioral data to profile groups of players to fully understand how we can better design location-based augmented reality exergames to improve exercise and health. Data was collected through an online open-ended, text-box survey (proforma) hosted on Qualtrics, with participants reached via virtual snowballing. The proforma was posted on four subreddit forums dedicated to Harry Potter: Wizards Unite and Pokémon GO for two weeks, and 1052 participants responded. Our study aligns with a deductive category application, with all highlighted excerpts coded using a predetermined coding scheme. Overall, three themes were identified: 1) Player Loyalty, 2) Player Involvement and 3) Player Constraints. We conclude that psychographic constraints experienced can negatively influence player preference and behavior. However, psychographic enablers such as player involvement with the franchise and player loyalty toward the brand can act to sustain continued gameplay across different player types and should not be underestimated as a powerful influence in decision-making, choice behavior, and behavior change (to improve exercise and health).

Author Biographies

James Smith, Macquarie University

Centre for Healthcare Resilience and Implementation Science (CHRIS)

Research Fellow

Matthew D Lee, University of Pennsylvania

School of Nursing

PhD candidate

Louise A Ellis, Macquarie University

Centre for Healthcare Resilience and Implementation Science (CHRIS)

Research Fellow

Kiran Ijaz, Macquarie University

Centre for Health Informatics

Research Fellow

Kathleen Yin, Macquarie University

Research Fellow

Centre for Health Informatics

Published

2021-06-04

How to Cite

Smith, J., Lee, M. D., Ellis, L. A., Ijaz, K., & Yin, K. (2021). Developing a novel psychographic-behavioral qualitative mapping method for exergames. International Journal of Serious Games, 8(2), 87 - 107. https://doi.org/10.17083/ijsg.v8i2.422

Issue

Section

Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.