Withemotion management continuously emerging as a central factor forpositive cognitive and affective small group collaboration outcomes, moreinvestigations are appearingthat utilize digital emotion information in grouptasks like decision-making, idea generationand structured problem solving. However, no coherent and structuredapproach has been developed to address the variety of critical aspects ofemotion management support. In this article,we outline central research gaps aligned with an established data quality framework. We argue that group emotion management support systems (GEMSS) research should be driven to investigate matters of how digital emotion information is measured, how information should be designedand transmitted, how emotion management can be supported in the context of collaboration scenarios, and how privacy and personal requirement concerns need to be integrated.
|Title of host publication||Proceedings of the 17th International Conference on Group Decision and Negotiation (GDN 2017)|
|Editors||Mareike Schoop, D. Marc Kilgour|
|Place of Publication||Hohenheim, Germany|
|Pages||191 - 202|
|Publication status||Published - 2017|
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 502050 Business informatics