Automatic Prediction Of Small Group Performance In Information Sharing Tasks
In this paper, we describe a novel approach, based on Markov jump processes, to model small group conversational dynamics and to predict small group performance. More precisely, we estimate conversational events such as turn taking, backchannels, turn-transitions at the micro-level (1 minute windows...
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Format: | Article |
Language: | en_US |
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2017
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Online Access: | http://hdl.handle.net/1721.1/108324 https://orcid.org/0000-0002-8053-9983 |
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author | Dong, Wen Lepri, Bruno Pentland, Alex Paul |
author2 | Massachusetts Institute of Technology. Media Laboratory |
author_facet | Massachusetts Institute of Technology. Media Laboratory Dong, Wen Lepri, Bruno Pentland, Alex Paul |
author_sort | Dong, Wen |
collection | MIT |
description | In this paper, we describe a novel approach, based on Markov jump processes, to model small group conversational dynamics and to predict small group performance. More precisely, we estimate conversational events such as turn taking, backchannels, turn-transitions at the micro-level (1 minute windows) and then we bridge the micro-level behavior and the macro-level performance. We tested our approach with a cooperative task, the Information Sharing task, and we verified the relevance of micro-level interaction dynamics in determining a good group performance (e.g. higher speaking turns rate and more balanced participation among group members). |
first_indexed | 2024-09-23T09:05:50Z |
format | Article |
id | mit-1721.1/108324 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T09:05:50Z |
publishDate | 2017 |
record_format | dspace |
spelling | mit-1721.1/1083242022-09-30T13:24:43Z Automatic Prediction Of Small Group Performance In Information Sharing Tasks Dong, Wen Lepri, Bruno Pentland, Alex Paul Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Pentland, Alex Dong, Wen Lepri, Bruno Pentland, Alex Paul In this paper, we describe a novel approach, based on Markov jump processes, to model small group conversational dynamics and to predict small group performance. More precisely, we estimate conversational events such as turn taking, backchannels, turn-transitions at the micro-level (1 minute windows) and then we bridge the micro-level behavior and the macro-level performance. We tested our approach with a cooperative task, the Information Sharing task, and we verified the relevance of micro-level interaction dynamics in determining a good group performance (e.g. higher speaking turns rate and more balanced participation among group members). Marie Curie COFUND - 7 th Framework (PERSI project) European Commission (PERSI Project within the Marie Curie COFUND-FP7) 2017-04-20T20:42:55Z 2017-04-20T20:42:55Z 2012-04 2012-04 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/108324 Dong, Wen, Bruno Lepri, and Alex (Sandy) Pentland. "Automatic Prediction Of Small Group Performance In Information Sharing Tasks." Collective Intelligence Conference (CI2012), 18-20 April 2012, Cambridge, MA. https://orcid.org/0000-0002-8053-9983 en_US https://arxiv.org/abs/1204.3698 Collective Intelligence Conference, 2012 Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf Prof. Pentland via Phoebe Ayres |
spellingShingle | Dong, Wen Lepri, Bruno Pentland, Alex Paul Automatic Prediction Of Small Group Performance In Information Sharing Tasks |
title | Automatic Prediction Of Small Group Performance In Information Sharing Tasks |
title_full | Automatic Prediction Of Small Group Performance In Information Sharing Tasks |
title_fullStr | Automatic Prediction Of Small Group Performance In Information Sharing Tasks |
title_full_unstemmed | Automatic Prediction Of Small Group Performance In Information Sharing Tasks |
title_short | Automatic Prediction Of Small Group Performance In Information Sharing Tasks |
title_sort | automatic prediction of small group performance in information sharing tasks |
url | http://hdl.handle.net/1721.1/108324 https://orcid.org/0000-0002-8053-9983 |
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