Best Paper Award for the 5th International Conference on HCI in Games, in the context of HCI International 2023, Copenhagen, Denmark, 23-28 July 2023
Certificate for Best Paper Award of the 5th International Conference on HCI in Games
The award has been conferred to
Reza Hadi Mogavi (Hong Kong University of Science and Technology, Hong Kong),
Chao Deng, Jennifer Hoffman (Accessible Meta Research and Development, United States),
Ehsan-Ul Haq (Hong Kong University of Science and Technology, Hong Kong),
Sujit Gujar (International Institute of Information Technology, India),
Antonio Bucchiarone (Fondazione Bruno Kessler, Italy) and
Pan Hui (Hong Kong University of Science and Technology, Hong Kong / University of Helsinki, Finland)
for the paper entitled
"Your Favorite Gameplay Speaks Volumes about You: Predicting User Behavior and Hexad Type"
Presented in the context of
HCI International 2023
23 - 28 July 2023
"In recent years, the gamification research community has widely and frequently questioned the effectiveness of one-size-fits-all gamification schemes. In consequence, personalization seems to be an important part of any successful gamification design. Personalization can be improved by understanding user behavior and Hexad player/user type. This paper comes with an original research idea: It investigates whether users’ game-related data (collected via various gamer-archetype surveys) can be used to predict their behavioral characteristics and Hexad user types in non-game (but gamified) contexts. The affinity that exists between the concepts of gamification and gaming provided us with the impetus for running this exploratory research.
We conducted an initial survey study with 67 Stack Exchange users (as a case study). We discovered that users’ gameplay information could reveal valuable and helpful information about their behavioral characteristics and Hexad user types in a non-gaming (but gamified) environment.
The results of testing three gamer archetypes (i.e., Bartle, Big Five, and BrainHex) show that they can all help predict users’ most dominant Stack Exchange behavioral characteristics and Hexad user type better than a random labeler’s baseline. That said, of all the gamer archetypes analyzed in this paper, BrainHex performs the best. In the end, we introduce a research agenda for future work."
The full paper is available through SpringerLink, provided that you have proper access rights.