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Design Methods to Investigate User Experiences of Artificial Intelligence
KTH, School of Electrical Engineering and Computer Science (EECS), Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-1454-7854
Stockholm University, DSV.
RISE SICS.
Stockholm University, DSV.
2018 (English)Conference paper, Published paper (Other academic)
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
North America: Association for the Advancement of Artificial Intelligence , 2018.
Keywords [en]
machine learning, design methods, user experience
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:kth:diva-224937OAI: oai:DiVA.org:kth-224937DiVA, id: diva2:1193842
Conference
AAAI Spring Symposium Series, March 26–28, 2018
Projects
Smart Implicit Interaction
Funder
Swedish Foundation for Strategic Research , 7090
Note

QC 20180411

Available from: 2018-03-27 Created: 2018-03-27 Last updated: 2018-04-11Bibliographically approved

Open Access in DiVA

fulltext(1351 kB)87 downloads
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Helms, Karey

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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