Constructing a Personality-Annotated Corpus for Educational Game based on Leary’s Rose Framework

Burkett, Candice (University of Memphis) | Keshtkar, Fazel (University of Memphis) | Graesser, Arthur (University of Memphis) | Li, Haiying (University of Memphis)

AAAI Conferences 

Researchers have recognized the importance of classifying personality through discourse for many years. However, this line of research tends to focus almost exclusively on the personality categories known as the Big Five factors. Though this information is certainly valuable, it may also be useful to categorize personality based on the Leary’s Interpersonal Circumplex model which emphasizes a predictive function. In this paper we construct the data set for personality annotation among six dimensions (based on a coding scheme developed from Leary’s Interpersonal Circumplex) for players using a chat interaction in an epistemic game, Land Science. Our results indicate that overall personality annotation is reliable (Average Kappa = 0.65) with the highest reliability for the competitive dimension and the lowest reliability for the leading dimension.

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