Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Design Methods to Investigate User Experiences of Artificial Intelligence
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2018 (English)In: 2018 AAAI Spring Symposium Series, Association for the Advancement of Artificial Intelligence , 2018, p. 394-398Conference paper, Published paper (Refereed)
Abstract [en]

This paper engages with the challenges of designing ‘implicit interaction’, systems (or system features) in which actions are not actively guided or chosen by users but instead come from inference driven system activity. We discuss the difficulty of designing for such systems and outline three Research through Design approaches we have engaged with - first, creating a design workbook for implicit interaction, second, a workshop on designing with data that subverted the usual relationship with data, and lastly, an exploration of how a computer science notion, “leaky abstraction”, could be in turn misinterpreted to imagine new system uses and activities. Together these design activities outline some inventive new ways of designing User Experiences of Artificial Intelligence.

Place, publisher, year, edition, pages
Association for the Advancement of Artificial Intelligence , 2018. p. 394-398
Keywords [en]
machine learning, design methods, user experience
National Category
Human Computer Interaction
Research subject
Information Society
Identifiers
URN: urn:nbn:se:su:diva-165295OAI: oai:DiVA.org:su-165295DiVA, id: diva2:1282009
Conference
2018 Spring Symposium Series, Stanford, USA, March 26–28, 2018
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-01-29Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Free full text

Search in DiVA

By author/editor
Brown, BarryLampinen, Airi
By organisation
Department of Computer and Systems Sciences
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 38 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf