skip to main content
10.1145/3334480.3375203acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
extended-abstract

Co-Design Futures for AI and Space: A Workbook Sprint

Published: 25 April 2020 Publication History

Abstract

Artificial Intelligence (AI) is continuously moving into our surroundings. In its various forms, it has the potential to disrupt most aspects of human life. Yet, the discourse around AI has long been by experts and for experts. In this paper, we argue for a participatory approach towards designing human-AI interactions. We outline how we used design methodology to organise an interdisciplinary workshop with a diverse group of students – a workbook sprint with 45 participants from four different programs and 13 countries – to develop speculative design futures in five focus areas. We then provide insights into our findings and share our lessons learned regarding our workshop topic – AI and Space – our process, and our research. We learned that involving non-experts in complex technical discourses – such as AI – through the structural rigour of design methodology is a viable approach. We then conclude by laying out how others might use our findings and initiate their own workbook sprint to explore complex technologies in a human-centred way.

Supplemental Material

MP4 File
Preview video
MP4 File
Supplemental video

References

[1]
Janna Anderson, Lee Rainie, and Alex Luchsinger. 2018. Artificial Intelligence and the Future of Humans. Pew Research Center, December (2018).
[2]
Rolf Arnold. 2007. Ich lerne, also bin ich: Eine systemisch-konstruktivistische Didaktik. Carl-Auer-Verlag.
[3]
William Gaver. 2011. Making spaces: how design workbooks work. In Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 1551--1560.
[4]
Dave Gray, Sunni Brown, and James Macanufo. 2010. Gamestorming: A playbook for innovators, rulebreakers, and changemakers. O'Reilly Media, Inc.
[5]
Tobias Jenert. 2008. Ganzheitliche Reflexion auf dem Weg zu Selbstorganisiertem Lernen. Bildungsforschung, 5 (2), 1--18 4, 12 (2008).
[6]
Jake Knapp, John Zeratsky, and Braden Kowitz. 2016. Sprint: How to solve big problems and test new ideas in just \five days. Simon and Schuster.
[7]
Henrik Mucha and Ricarda Jacobi. 2020. in press. Design Workshops in der Lehre: Erleben und Kompetenz. TeachingXchange (2020. in press).
[8]
Alexander Osterwalder and Yves Pigneur. 2010. Business model generation: a handbook for visionaries, game changers, and challengers. John Wiley & Sons.
[9]
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W Crandall, Nicholas A Christakis, Iain D Couzin, Matthew O Jackson, and others. 2019. Machine behaviour. Nature 568, 7753 (2019), 477.
[10]
Mikael Wiberg. 2015. Interaction design meets architectural thinking. interactions 22, 2 (2015), 60--63.
[11]
Johannes Wildt. 2004. Vom Lehren zum Lernen. Zum Wandel der Lernkultur in modularisierten Studienstrukturen. Neues Handbuch Hochschullehre (2004), 1--13.
[12]
Wei Xu. 2019. Toward Human-centered AI: A Perspective from Human-computer Interaction. Interactions 26, 4 (June 2019), 42--46.

Cited By

View all
  • (2024)Meaningful Transparency for Clinicians: Operationalising HCXAI Research with GynaecologistsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658971(1268-1281)Online publication date: 3-Jun-2024
  • (2024)Mind The Gap: Designers and Standards on Algorithmic System Transparency for UsersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642531(1-16)Online publication date: 11-May-2024
  • (2023)The Participatory Turn in AI Design: Theoretical Foundations and the Current State of PracticeProceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization10.1145/3617694.3623261(1-23)Online publication date: 30-Oct-2023
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
April 2020
4474 pages
ISBN:9781450368193
DOI:10.1145/3334480
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2020

Check for updates

Author Tags

  1. artificial intelligence
  2. co-design
  3. design workbook

Qualifiers

  • Extended-abstract

Conference

CHI '20
Sponsor:

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)130
  • Downloads (Last 6 weeks)8
Reflects downloads up to 23 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Meaningful Transparency for Clinicians: Operationalising HCXAI Research with GynaecologistsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658971(1268-1281)Online publication date: 3-Jun-2024
  • (2024)Mind The Gap: Designers and Standards on Algorithmic System Transparency for UsersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642531(1-16)Online publication date: 11-May-2024
  • (2023)The Participatory Turn in AI Design: Theoretical Foundations and the Current State of PracticeProceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization10.1145/3617694.3623261(1-23)Online publication date: 30-Oct-2023
  • (2023)Designing value-sensitive AI: a critical review and recommendations for socio-technical design processesAI and Ethics10.1007/s43681-023-00373-74:4(949-967)Online publication date: 21-Nov-2023
  • (2023)Design Futures with GAI: Exploring the Potential of Generative AI Tools in Collaborative SpeculationHCI International 2023 – Late Breaking Papers10.1007/978-3-031-48057-7_10(149-161)Online publication date: 23-Jul-2023
  • (2022)What If Artificial Intelligence Become Completely Ambient in Our Daily Lives? Exploring Future Human-AI Interaction through High Fidelity IllustrationsInternational Journal of Human–Computer Interaction10.1080/10447318.2022.208015539:7(1371-1389)Online publication date: 14-Jun-2022
  • (2022)Co-Designing with AI in SightProceedings of the Design Society10.1017/pds.2022.112(101-110)Online publication date: 26-May-2022
  • (2022)Applying the Design Sprint to Interactive Machine Learning Experience Design: A Case Study from AveniHCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence10.1007/978-3-031-21707-4_35(493-505)Online publication date: 26-Jun-2022
  • (2021)Eliciting Tech Futures Among Black Young Adults: A Case Study of Remote Speculative Co-DesignProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445723(1-15)Online publication date: 6-May-2021
  • (2021)Poetics of Future Work: Blending Speculative Design with Artistic MethodologyExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3443451(1-8)Online publication date: 8-May-2021

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media