Abstract
In this study, we define and test measures that capture aspects of collaboration in interaction within groups of three participants performing a task. The measures are constructed upon turn-taking and lexical features from a corpus of triadic task-based interactions, as well as upon demographic features, and personality, dominance, and satisfaction assessments related to the corpus participants. Those quantities were tested for significant effects and correlations they have with each other. The findings indicate that determinants of collaboration are located in measures quantifying the differences among dialogue participants in conversational mechanisms employed, such as number and frequency of words contributed, lexical repetitions, conversational dominance, and in psychological and sentiment variables, i.e., the participants’ personality traits and expression of satisfaction.
Highlights
Analysis of small-group interaction and group dynamics has been an important research topic because of the multitude of everyday professional and personal activities performed by small groups
The results show that there are quantities that have strong potential as determinants of collaboration, and these are located in measures quantifying the differences among dialogue participants in conversational mechanisms employed, such as number and frequency of words contributed, lexical repetitions, conversational dominance, and in psychological and sentiment variables, i.e., the participants; personality traits and expression of satisfaction
As the ratio of words contributed per the duration of dialogue decreases, higher scores are achieved in Conscientiousness the higher the imbalance is in the ratings of the participants in assessing Confusing aspects of the facilitator in the experience assessment questionnaire (EAQ) questionnaire, the higher are their Openness levels
Summary
Analysis of small-group interaction and group dynamics has been an important research topic because of the multitude of everyday professional and personal activities performed by small groups. Related work reports on identification of group dynamics [1,2,3], group performance [4,5,6] and participation styles [7], and inferring behavioral aspects in dialogue such as competitiveness [8,9], dominance and leadership [10,11,12], affect [13], cohesion [14]. Survival Corpus-2 [15], the Canal 9 political debates database [19], the Idiap Wolf Corpus [9] and the GAP (Group Affect and Performance) corpus [20], corpora which investigate various aspects of group interactions.
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