Ranking vs. Preference: a comparative study of self-reporting

Authors:
Georgios N. Yannakakis;John Hallam
Affiliations:
Center for Computer Games Research, IT University of Copenhagen, Copenhagen S, Denmark;Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark
Venue:
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Year:
2011

Citing 4
Cited 1

Entertainment capture through heart rate activity in physical interactive playgrounds

User Modeling and User-Adapted Interaction
TOWARDS OPTIMIZING ENTERTAINMENT IN COMPUTER GAMES

Applied Artificial Intelligence
Preference learning for cognitive modeling: a case study on entertainment preferences

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Towards affective camera control in games

User Modeling and User-Adapted Interaction

Game AI revisited

Proceedings of the 9th conference on Computing Frontiers

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces a comparative analysis between rating and pairwise self-reporting via questionnaires in user survey experiments. Two dissimilar game user survey experiments are employed in which the two questionnaire schemes are tested and compared for reliable affect annotation. The statistical analysis followed to test our hypotheses shows that even though the two selfreporting schemes are consistent there are significant order of reporting effects when subjects report via a rating questionnaire. The paper concludes with a discussion of the appropriateness of each self-reporting scheme under conditions drawn from the experimental results obtained.