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

Leshed, Gilly; Pérez, Diego; Hancock, Jeffrey T.; Cosley, Dan; Birnholtz, Jeremy; Lee, So‐Young; McLeod, Poppy Lauretta

doi:10.1145/1518701.1518784

Cited by 72 publications

(58 citation statements)

References 39 publications

(51 reference statements)

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“…As explained in [24], feedback can take on many different forms and uses. Thus, it is important to look at the literature on feedback to determine which characteristics are most important when developing a display that is intended to increase team interactions.…”

Section: Related Feedback Literaturementioning

confidence: 99%

“…Large amounts of feedback information can often be confusing, because it may seem irrelevant to a specific task or event. According to researchers, it is especially important that automatically-generated feedback systems provide clear explanations about how the display information is calculated, and how it changes over time [24].…”

Section: Characteristics Of Effective Feedbackmentioning

confidence: 99%

“…On the other hand, [24] argues that sharing individual information about others' performances can support adherence to social group norms.…”

Section: Characteristics Of Effective Feedbackmentioning

confidence: 99%

See 2 more Smart Citations

Effects of Cohesion-Based Feedback on the Collaborations in Global Software Development Teams

Castro-Hernandez¹,

Swigger²,

Ponce-Flores³

2015

EAI Endorsed Transactions on Collaborative Computing

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This paper describes a study that examines the effect of cohesion-based feedback on a team member's behaviors in a global software development project. Chat messages and forum posts were collected from a software development project involving students living in the US and Mexico. Half of the teams in the project received feedback in the form of a graphical representation that displayed the group's cohesion level, while the other teams received no feedback. The nature of the group interactions as well as the linguistic content of such interactions was then analyzed and compared. Results from this analysis show statistically significant d ifferences b etween t he feedback a nd n on-feedback c onditions. M ore s pecifically, cohesion-based feedback had a positive relation to a team's total message count, response rate, and individual cohesion score. In addition, the analysis of linguistic categories showed that the most salient categories observed were related to words about time and work. Furthermore, a comparison between feedback variables and type (i.e., positive and negative feedback) indicates that those individuals exposed to negative feedback had an increase in their communication pacing rates when exposed to positive feedback. Although the feedback system did not appear to affect individual performance, the findings s u g gest t h a t t h e c o h esion m e a sure d e fi ned in th is st ud y is positively correlated to the task cohesion construct and is also related to individual and team performance.

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Section: Related Feedback Literaturementioning

confidence: 99%

Section: Characteristics Of Effective Feedbackmentioning

confidence: 99%

See 1 more Smart Citation

Effects of Cohesion-Based Feedback on the Collaborations in Global Software Development Teams

Castro-Hernandez¹,

Swigger²,

Ponce-Flores³

2015

EAI Endorsed Transactions on Collaborative Computing

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“…Such dashboards have historically been more limited to providing feedback on specific, shorter-duration interactions, even when used among longer term project teams (e.g., [10,18,31]). …”

Section: Related Work and Motivationmentioning

confidence: 99%

Monitoring email to indicate project team performance and mutual attraction

Munson

Kervin

Robert

2014

Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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Many managers and mentors for project teams desire more efficient and more effective ways of monitoring and predicting the quality of social relationships and the performance of teams under their purview. A previous study [13] found that one form of linguistic mimicry, linguistic style matching, and some lexical features indicated team performance and mutual attraction in short-term, laboratory tasks. In this paper, we evaluate whether these measures also work as indicators for performance, shared understanding, and team trust in longerduration project teams, using only limited, unobtrusively obtained communication traces. In our four-month evaluation using student project team emails, we found no support for LSM or most of the previously identified measures as practical indicators in our field setting. We did find some support for using future-oriented words to indicate team performance over time.

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“…Leshed et al demonstrated that visual feedback based on language can encourage more positive language in text-based chat environments [27]. The public awareness and resulting accountability for negative comments discouraged overly negative criticism.…”

Section: Visual Signalsmentioning

confidence: 99%