Feedback for guiding reflection on teamwork practices

Leshed, Gilly; Hancock, Jeffrey T.; Cosley, Dan; McLeod, Poppy Lauretta

doi:10.1145/1316624.1316655

Cited by 49 publications

(43 citation statements)

References 7 publications

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“…Message length was used in past research as a "proxy for amount of communication" (Tausczik & Pennebaker, 2010, p. 33). It has also been adopted by several studies as a measure of intensity of involvement (e.g., Leshed, Hancock, Cosley, McLeod, & Gay, 2007;Pan, Feng, & Wingate, 2016). Based on the preceding review and rationale, we propose the following hypotheses:…”

Section: Social Capital and Reciprocitymentioning

confidence: 99%

You Get What You Give: Understanding Reply Reciprocity and Social Capital in Online Health Support Forums

Pan

Shen

Feng

2016

Journal of Health Communication

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Adopting a social network analysis approach, the present study examined social capital and network dynamics of online support seeking and support provision in a depression forum. We constructed a depression forum network by mapping out all of the users and the reply ties among them. The findings showed a consistently reciprocal pattern between users' replies sent to others and replies received from others. Forum users' bridging social capital was positively associated with the source diversity of their received replies and negatively associated with the average length of their received replies. Furthermore, forum users' bonding social capital was positively associated with the average length of their received replies and negatively associated with the source diversity of their received replies.

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Section: Social Capital and Reciprocitymentioning

confidence: 99%

You Get What You Give: Understanding Reply Reciprocity and Social Capital in Online Health Support Forums

Pan

Shen

Feng

2016

Journal of Health Communication

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“…This type of dynamic feedback, which has been shown to improve group work in other contexts (e.g., [15], [27]) is a promising means of improving intercultural collaboration.…”

Section: Implications For Technology Adoption and Designmentioning

confidence: 99%

Cultural difference and adaptation of communication styles in computer-mediated group brainstorming

Wang

Fussell

Setlock

2009

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Supporting creativity via collaborative group brainstorming is a prevalent practice in organizations. Today's technology makes it easy for international and intercultural group members to brainstorm together remotely, but surprisingly little is known about how culture and medium shape the underlying brainstorming process. In a laboratory study, we examined the influences of individual cultural background (American versus Chinese), group cultural composition (same-versus mixed-culture groups), and communication medium (text-only versus video-enabled chatrooms) on group brainstorming conversations. Cultural differences and adaptation in conversational talkativeness and responsiveness were identified. The text-only medium reduced cultural differences in talkativeness. Working in a mixed-culture group led to cultural adaptation in the communication style of Chinese but not American participants. We discuss implications for international group brainstorming.

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“…Below we describe our underlying principles for providing automated feedback to teams using peripheral visualizations as the team goes about completing its tasks. We then present GroupMeter, a research platform proposed by Leshed et al [27] that applies these principles and used for the study of teamwork behaviors, language, and feedback. We conclude by presenting a distributed group-based user study of GroupMeter, focusing on four main questions: …”

Section: Introductionmentioning

confidence: 99%

Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups

Leshed

Pérez

Hancock

et al. 2009

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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While most collaboration technologies are concerned with supporting particular tasks such as workflows or meetings, many work groups do not have the teamwork skills essential to effective collaboration. One way to improve teamwork is to provide dynamic feedback generated by automated analyses of behavior, such as language use. Such feedback can lead members to reflect on and subsequently improve their collaborative behavior, but might also distract from the task at hand. We have experimented with GroupMeter -a chatbased system that presents visual feedback on team members' language use. Feedback on proportion of agreement words and overall word count was presented using two different designs. When receiving feedback, teams in our study expressed more agreement in their conversations and reported greater focus on language use as compared to when not receiving feedback. This suggests that automated, realtime linguistic feedback can elicit behavioral changes, offering opportunities for future research.

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Feedback for guiding reflection on teamwork practices

Cited by 49 publications

References 7 publications

You Get What You Give: Understanding Reply Reciprocity and Social Capital in Online Health Support Forums

You Get What You Give: Understanding Reply Reciprocity and Social Capital in Online Health Support Forums

Cultural difference and adaptation of communication styles in computer-mediated group brainstorming

Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups

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