Conversation modeling: How the 3D aspect can influence collaborative interpretation

Priscilla Ferronato, Zhaoyuan Su, Stanley Ruecker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Collaboration is a complex process that involves human and non-human factors. Although technology has improved and facilitated collaborative projects, interpretation, as the process of discovering and creating meaning, is often perceived as an individual act. This research aims to facilitate collaboration by better understanding how groups of people can make and maintain multiple interpretations. After a series of more than two dozen prototypes and 40 workshops for co-design and usability testing, the video records of the workshops have been categorized using protocol analysis and the foundations of discourse analysis. We hypothesize that the physical 3D aspect of these prototypes helps users not only in sharing their interpretations but also in co-creating them. Moreover, this is an essential finding for the next steps of this research, which will try to replicate the results of the physical models by attaching them as an interface to an online environment.

Original languageEnglish (US)
Title of host publicationNordiCHI 2018
Subtitle of host publicationRevisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction
PublisherAssociation for Computing Machinery
Pages736-741
Number of pages6
ISBN (Electronic)9781450364379
DOIs
StatePublished - Sep 29 2018
Event10th Nordic Conference on Human-Computer Interaction, NordiCHI 2018 - Oslo, Norway
Duration: Sep 29 2018Oct 3 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th Nordic Conference on Human-Computer Interaction, NordiCHI 2018
CountryNorway
CityOslo
Period9/29/1810/3/18

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Keywords

  • Collaboration
  • Interpretation
  • Participatory Design
  • Prototyping
  • User Experience

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Ferronato, P., Su, Z., & Ruecker, S. (2018). Conversation modeling: How the 3D aspect can influence collaborative interpretation. In NordiCHI 2018: Revisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction (pp. 736-741). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3240167.3240247

Conversation modeling : How the 3D aspect can influence collaborative interpretation. / Ferronato, Priscilla; Su, Zhaoyuan; Ruecker, Stanley.

NordiCHI 2018: Revisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction. Association for Computing Machinery, 2018. p. 736-741 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ferronato, P, Su, Z & Ruecker, S 2018, Conversation modeling: How the 3D aspect can influence collaborative interpretation. in NordiCHI 2018: Revisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 736-741, 10th Nordic Conference on Human-Computer Interaction, NordiCHI 2018, Oslo, Norway, 9/29/18. https://doi.org/10.1145/3240167.3240247
Ferronato P, Su Z, Ruecker S. Conversation modeling: How the 3D aspect can influence collaborative interpretation. In NordiCHI 2018: Revisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction. Association for Computing Machinery. 2018. p. 736-741. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3240167.3240247
Ferronato, Priscilla ; Su, Zhaoyuan ; Ruecker, Stanley. / Conversation modeling : How the 3D aspect can influence collaborative interpretation. NordiCHI 2018: Revisiting the Life Cycle - Proceedings of the 10th Nordic Conference on Human-Computer Interaction. Association for Computing Machinery, 2018. pp. 736-741 (ACM International Conference Proceeding Series).
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