2010
DOI: 10.1177/154193121005400507
|View full text |Cite
|
Sign up to set email alerts
|

The Effect of Affective State on Virtual and Face-to-Face Group Performance

Abstract: The purpose of this study was to examine the relationship between affective state and virtuality on group creativity, negotiation, and information exchange. Over 100 students watched a film clip to induce a positive or neutral mood and performed tasks as dyads or triads either face-to-face or distributedly. Although the affective state manipulation did not affect performance, the more positive affect the groups reported, the more words the groups used to communicate. Distributed groups did not generate more id… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2015
2015

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 25 publications
0
1
0
Order By: Relevance
“…For example, it was found that positive affect relates to communication effort and trust in group decision making (Dzindolet et al, 2010); negative affect reduces team awareness in computer-mediated teams (Pfaff, 2012). Methodological explorations in the design of human agent interaction systems showed that appraisal theory can be applied to the investigation of human's emotional reactions to non-human teammates (Pepe, Sims, & Chin, 2007), and identified essential emotions that are relevant to human machine interactions (Walter et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…For example, it was found that positive affect relates to communication effort and trust in group decision making (Dzindolet et al, 2010); negative affect reduces team awareness in computer-mediated teams (Pfaff, 2012). Methodological explorations in the design of human agent interaction systems showed that appraisal theory can be applied to the investigation of human's emotional reactions to non-human teammates (Pepe, Sims, & Chin, 2007), and identified essential emotions that are relevant to human machine interactions (Walter et al, 2014).…”
Section: Introductionmentioning
confidence: 99%