Group hedonic balance and pair programming performance: affective interaction dynamics as indicators of performance

Authors:
Malte Jung;Jan Chong;Larry Leifer
Affiliations:
Stanford University, Stanford, California, United States;OnLive, Palo Alto, California, United States;Stanford University, Stanford, California, United States
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2012

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Abstract

Inspired by research on the role of affect in marital interactions, the authors examined whether affective interaction dynamics occurring within a 5-minute slice can predict pair programming performance. In a laboratory experiment with professional programmers, Group Hedonic Balance, a measure of the balance between positive and negative expressed affect, accounted for up to 35% of the variance in not only subjective but also objective pair programming performance. Implications include a new set of methods to study pair programming interactions and recommendations to improve pair programming performance.