Umeå University's logo

umu.sePublications
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
Intentional Spaces: As AI understands more of the physical world, it enables us to make sense of our surroundings in new and easier ways.
Umeå University, Faculty of Science and Technology, Umeå Institute of Design.
2024 (English)Independent thesis Advanced level (degree of Master of Fine Arts (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Even though most of our life happens in the physical world, most applications of AI are digital. We have to explain our intention and context to chatbots for them to support us with things happening in the world around us.

Archetype AI, the collaboration partner of this thesis, is developing a Large Behavior Model (LBM) that perceivesand reasons about the physical world in real time by fusing multimodal sensor data and natural language. This thesis is a side track to the technical development of this LBM, exploring the landscape of interactions enabled when AI understands the world around us.

A series of interventions with physical AI as a design material is presented to illustrate what the relation with such intelligent systems could look like in the future. The research also highlights the evolving role of designers, which transitions from crafting explicit interactions to shaping the behaviour of intelligent and context-aware environments.

Lastly, the research raises questions to start asking as AI, and its role in our lives is evolving.

Place, publisher, year, edition, pages
2024. , p. 45
Keywords [en]
interaction design, interactive spaces, ambient computing, artificial intelligence, physical AI
National Category
Human Aspects of ICT Interaction Technologies Design
Identifiers
URN: urn:nbn:se:umu:diva-225891OAI: oai:DiVA.org:umu-225891DiVA, id: diva2:1867426
External cooperation
Archetype AI
Subject / course
Degree Project, Interaction Design
Educational program
Master's Programme in Interaction Design
Examiners
Available from: 2024-06-19 Created: 2024-06-10 Last updated: 2024-06-19Bibliographically approved

Open Access in DiVA

fulltext(57764 kB)180 downloads
File information
File name FULLTEXT01.pdfFile size 57764 kBChecksum SHA-512
db5132ed03ac807778ca2061bd2a907accec0dd3601a88da021b37aad219bb117e32655119f75167a5a3a92299fb7873892bddd1d85076b70d5a61ecb8f6008b
Type fulltextMimetype application/pdf

By organisation
Umeå Institute of Design
Human Aspects of ICTInteraction TechnologiesDesign

Search outside of DiVA

GoogleGoogle Scholar
Total: 180 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 248 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