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Me & AI
Umeå University, Faculty of Science and Technology, Umeå Institute of Design.
2022 (English)Independent thesis Advanced level (degree of Master of Fine Arts (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

Seeking a valuable and relevant topic for the future of mobility. the author came across the pain point trust in relation to artificial intelligence. Advances in the creation of artificial intelligence and deep learning ensure that our everyday lives are increasingly shaped by algorithms, sometimes consciously, sometimes unconsciously.For many people, this idea causes discomfort, and especially in situations of one‘s own vulnerability, the question of how an AI will handle more responsible tasks in the future will be essential. The automotive industry will also be shaped by this issue.

In the intelligent car of the future, people will at least partially relinquish both control and privacy. Autonomous driving will be a test of trust for future users, as will the question of digital ethics and the collection of private data. In this thesis, a possible answer to the question was explored, how we can shape the approach and interaction with technology - especially artificial intelligence - in the future in order to create trustf uluser experiences.

For this purpose, beyond the formal-aesthetic elaboration, the main focus was on interactive solutions and communication with AI, how an AI behaves in the vehicle and how it can contribute to making users feel comfortable in such a context. BMW Me&AI describes a scenario in which potential customers get to know an intelligent vehicle for the first time and are carefully introduced to its processes and possibilities. Inspired by soft robotics, the presented interior design is mainly defined by a holistic concept of soft interaction surfaces.

Three basic scenarios are described in which passengers have the freedom to either look over AI‘s shoulder, sit back and focus on other things, or be completely on their own. This created a result that became unique in its dynamics and degree of adaptability and posed a real challenge, especially for the creative process, which in retrospect clearly paid off.

Place, publisher, year, edition, pages
2022. , p. 50
Keywords [en]
Transportation, Mobility, Design, Industrial design, Future Mobility, Interior Design, Mobility Service, AI, Autonomous driving, Self driving
National Category
Design
Identifiers
URN: urn:nbn:se:umu:diva-208378OAI: oai:DiVA.org:umu-208378DiVA, id: diva2:1758691
External cooperation
BMW
Subject / course
Degree Project, Transportation Design
Educational program
Master's Programme in Transportation Design
Supervisors
Examiners
Available from: 2023-05-25 Created: 2023-05-23 Last updated: 2025-02-24Bibliographically approved

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Me & AI(27492 kB)399 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf