Interaction design & prototyping for immersive analytics

Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Barrett Ens, Marcos Serrano, Wesley Willett

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

Abstract

Immersive Analytics is concerned with the design and evaluation of interactive next-generation interfaces that support human understanding, data analysis, and decision making. New immersive technologies present many opportunities for enhancing humans' experiences with data interaction, but also present many challenges, a subset of which are specific to the analytics domain. This workshop is centered around a set of group prototyping sessions, aimed at identifying new approaches to existing design challenges. In addition to giving perspective on opportunities and difficulties faced by future designers, these exercises will also explore new prototyping methods and tools for the design of interactive data-centric interfaces. This part-day workshop aims to build new ties between the existing immersive analytics community with researchers across many disciplines of the CHI community.

Original languageEnglish
Title of host publicationCHI’19 Extended Abstracts - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationMay 4–9, 2019 Glasgow, Scotland UK
EditorsAnna Cox, Vassilis Kostakos
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Electronic)9781450359719
DOIs
Publication statusPublished - 2019
EventInternational Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
https://chi2019.acm.org

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2019
Abbreviated titleCHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

Keywords

  • Augmented Reality
  • Data Visualization
  • Immersive Analytics
  • Situated Analytics
  • Spatial Interactions
  • Virtual Reality

Cite this

Bach, B., Cordeil, M., Engelke, U., Ens, B., Serrano, M., & Willett, W. (2019). Interaction design & prototyping for immersive analytics. In A. Cox, & V. Kostakos (Eds.), CHI’19 Extended Abstracts - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems: May 4–9, 2019 Glasgow, Scotland UK [W21] New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3290607.3299019
Bach, Benjamin ; Cordeil, Maxime ; Engelke, Ulrich ; Ens, Barrett ; Serrano, Marcos ; Willett, Wesley. / Interaction design & prototyping for immersive analytics. CHI’19 Extended Abstracts - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems: May 4–9, 2019 Glasgow, Scotland UK. editor / Anna Cox ; Vassilis Kostakos. New York NY USA : Association for Computing Machinery (ACM), 2019.
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title = "Interaction design & prototyping for immersive analytics",
abstract = "Immersive Analytics is concerned with the design and evaluation of interactive next-generation interfaces that support human understanding, data analysis, and decision making. New immersive technologies present many opportunities for enhancing humans' experiences with data interaction, but also present many challenges, a subset of which are specific to the analytics domain. This workshop is centered around a set of group prototyping sessions, aimed at identifying new approaches to existing design challenges. In addition to giving perspective on opportunities and difficulties faced by future designers, these exercises will also explore new prototyping methods and tools for the design of interactive data-centric interfaces. This part-day workshop aims to build new ties between the existing immersive analytics community with researchers across many disciplines of the CHI community.",
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Bach, B, Cordeil, M, Engelke, U, Ens, B, Serrano, M & Willett, W 2019, Interaction design & prototyping for immersive analytics. in A Cox & V Kostakos (eds), CHI’19 Extended Abstracts - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems: May 4–9, 2019 Glasgow, Scotland UK., W21, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human Factors in Computing Systems 2019, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290607.3299019

Interaction design & prototyping for immersive analytics. / Bach, Benjamin; Cordeil, Maxime; Engelke, Ulrich; Ens, Barrett; Serrano, Marcos; Willett, Wesley.

CHI’19 Extended Abstracts - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems: May 4–9, 2019 Glasgow, Scotland UK. ed. / Anna Cox; Vassilis Kostakos. New York NY USA : Association for Computing Machinery (ACM), 2019. W21.

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

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AB - Immersive Analytics is concerned with the design and evaluation of interactive next-generation interfaces that support human understanding, data analysis, and decision making. New immersive technologies present many opportunities for enhancing humans' experiences with data interaction, but also present many challenges, a subset of which are specific to the analytics domain. This workshop is centered around a set of group prototyping sessions, aimed at identifying new approaches to existing design challenges. In addition to giving perspective on opportunities and difficulties faced by future designers, these exercises will also explore new prototyping methods and tools for the design of interactive data-centric interfaces. This part-day workshop aims to build new ties between the existing immersive analytics community with researchers across many disciplines of the CHI community.

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KW - Situated Analytics

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Bach B, Cordeil M, Engelke U, Ens B, Serrano M, Willett W. Interaction design & prototyping for immersive analytics. In Cox A, Kostakos V, editors, CHI’19 Extended Abstracts - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems: May 4–9, 2019 Glasgow, Scotland UK. New York NY USA: Association for Computing Machinery (ACM). 2019. W21 https://doi.org/10.1145/3290607.3299019