Semi-automated Analysis of Collaborative Interaction: Are We There Yet?

Author:

Neumayr Thomas1ORCID,Augstein Mirjam2ORCID,Schönböck Johannes2ORCID,Rintel Sean3ORCID,Leeb Helmut2ORCID,Teichmeister Thomas2ORCID

Affiliation:

1. University of Applied Sciences Upper Austria, Hagenberg, Austria / JKU Linz, Linz, Austria

2. University of Applied Sciences Upper Austria, Hagenberg, Austria

3. Microsoft Research, Cambridge, UK

Abstract

In recent years, research on collaborative interaction has relied on manual coding of rich audio/video recordings. The fine-grained analysis of such material is extremely time-consuming and labor-intensive. This is not only difficult to scale, but, as a result, might also limit the quality and completeness of coding due to fatigue, inherent human biases, (accidental or intentional), and inter-rater inconsistencies. In this paper, we explore how recent advances in machine learning may reduce manual effort and loss of information while retaining the value of human intelligence in the coding process. We present ACACIA (AI Chain for Augmented Collaborative Interaction Analysis), an AI video data analysis application which combines a range of advances in machine perception of video material for the analysis of collaborative interaction. We evaluate ACACIA's abilities, show how far we can already get, and which challenges remain. Our contribution lies in establishing a combined machine and human analysis pipeline that may be generalized to different collaborative settings and guide future research.

Funder

Austrian Science Fund FWF

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference46 articles.

1. 2019. act4teams® Handbuch Version 2.3. 2019. act4teams® Handbuch Version 2.3.

2. Robert F Bales . 1950. Interaction process analysis ; a method for the study of small groups.. Addison-Wesley , Boston, MA, USA . Robert F Bales. 1950. Interaction process analysis; a method for the study of small groups.. Addison-Wesley, Boston, MA, USA.

3. Automated Analysis in Feature Modelling and Product Configuration

4. Dan Bohus , Sean Andrist , Ashley Feniello , Nick Saw , Mihai Jalobeanu , Patrick Sweeney , Anne Loomis Thompson, and Eric Horvitz . 2021 . Platform for Situated Intelligence . arxiv:2103.15975. Dan Bohus, Sean Andrist, Ashley Feniello, Nick Saw, Mihai Jalobeanu, Patrick Sweeney, Anne Loomis Thompson, and Eric Horvitz. 2021. Platform for Situated Intelligence. arxiv:2103.15975.

5. The Cambridge Handbook of Group Interaction Analysis

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3