Conference Paper

Verbal Equity, Cognitive Specialization, and Performance

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Text/Conference Paper

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Date

2014

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Source

Proceedings of the 2014 ACM International Conference on Supporting Group Work

Publisher

Association for Computing Machinery

Abstract

In this paper, patterns of communication are examined in order to unpack the extent to which verbal equity is a critical factor in determining group success. A microanalysis of 20 teams working to complete a complex, information dependent, collaborative task was conducted. Interaction analysis methods were used as means to determine patterns of interaction and the sophistication of cognitive activity that teams engaged in. Findings suggest that verbal equity may not be as important as previous research indicates. A more critical variable may be cognitive specialization. The authors explain their findings by drawing on theories of cognition, thereby contributing to a better understanding of collective intelligence.

Description

Borge, Marcela; Carroll, John M. (2014): Verbal Equity, Cognitive Specialization, and Performance. Proceedings of the 2014 ACM International Conference on Supporting Group Work. DOI: 10.1145/2660398.2660418. Association for Computing Machinery. pp. 215–225. Sanibel Island, Florida, USA

Keywords

collaborative problem-solving, information analysis, collective intelligence, cognitive specialization, collaborative decision-making, verbal equity, macrocognition, collective cognition

Citation

DOI

10.1145/2660398.2660418

URI

URI

https://dl.eusset.eu/handle/20.500.12015/4436

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GROUP 2014

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Referenced By

Number of citations to item: 9

  • Liru Hu, Gaowei Chen (2021): Exploring turn-taking patterns during dialogic collaborative problem solving, In: Instructional Science 1(50), doi:10.1007/s11251-021-09565-2
  • M. Borge, B. K. Smith, T. Aldemir (2024): Using generative ai as a simulation to support higher-order thinking, In: International Journal of Computer-Supported Collaborative Learning 4(19), doi:10.1007/s11412-024-09437-0
  • Marcela Borge, Tugce Aldemir, Yu Xia (2022): How teams learn to regulate collaborative processes with technological support, In: Educational technology research and development 3(70), doi:10.1007/s11423-022-10103-1
  • Bodo Steiner, Kevin Lan, Jim Unterschultz, Peter Boxall (2017): Applying the resource-based view to alliance formation in specialized supply chains, In: Journal of Strategy and Management 3(10), doi:10.1108/jsma-06-2016-0040
  • Lu Xiao, John M. Carroll (2015): Shared Practices in Articulating and Sharing Rationale, In: International Journal of e-Collaboration 4(11), doi:10.4018/ijec.2015100102
  • Marcela Borge, Yann Shiou Ong, Carolyn Penstein Rosé (2018): Learning to monitor and regulate collective thinking processes, In: International Journal of Computer-Supported Collaborative Learning 1(13), doi:10.1007/s11412-018-9270-5
  • Joon Suk Lee, Margaret Dickey-Kurdziolek, Stacy Branham (2018): A Design Provocation for Humble Designers and Empowered Users, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-91803-7_4
  • Lu Xiao, John M. Carroll (2019): Shared Practices in Articulating and Sharing Rationale, In: Crowdsourcing, doi:10.4018/978-1-5225-8362-2.ch081
  • Liru Hu, Jiajun Wu, Gaowei Chen (2022): iTalk–iSee: A participatory visual learning analytical tool for productive peer talk, In: International Journal of Computer-Supported Collaborative Learning 3(17), doi:10.1007/s11412-022-09374-w
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