Title :
Emotional Majority Agreement a psychometric property of affective self-report instruments
Author :
Lottridge, Danielle ; Chignell, Mark
Author_Institution :
Dept. of Mech. & Ind. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
Growing interest in emotional interfaces and systems motivates the need for a standard and well-accepted way to measure emotional responses. We introduce the concept of Emotional Majority Agreement: a metric to characterize affective self-report instruments. Emotional majority agreement scores describe the extent to which a sample of participants agrees with regards to their emotional responses. We present a video-watching case study where 12 participants continuously rated how they felt using three self-report prototypes. Majority agreement measures differentiated videos that elicited more or less agreement, prototypes that supported more or less agreement, and individual differences between participants. We conclude with insights gained and future work.
Keywords :
emotion recognition; human factors; psychometric testing; affective self-report instruments; emotional interfaces; emotional majority agreement; emotional response measurement; psychometric property; video-watching case; Feedback; Human factors; Industrial engineering; Industrial psychology; Instruments; Measurement standards; Mechanical factors; Particle measurements; Prototypes; Videos; Emotional majority agreement; affective interaction; affective self-report; emotion measurement; psychometrics;
Conference_Titel :
Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-3877-8
Electronic_ISBN :
978-1-4244-3878-5
DOI :
10.1109/TIC-STH.2009.5444389