liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Human Autonomy in Future Drone Traffic: Joint Human-AI Control in Temporal Cognitive Work
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8862-7331
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-2919-098x
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-2429-0842
2021 (English)In: Frontiers in Artificial Intelligence, E-ISSN 2624-8212, Vol. 4, article id 704082Article in journal (Refereed) Published
Abstract [en]

The roles of human operators are changing due to increased intelligence and autonomy of computer systems. Humans will interact with systems at a more overarching level or only in specific situations. This involves learning new practices and changing habitual ways of thinking and acting, including reconsidering human autonomy in relation to autonomous systems. This paper describes a design case of a future autonomous management system for drone traffic in cities in a key scenario we call The Computer in Brussels. Our approach to designing for human collaboration with autonomous systems builds on scenario-based design and cognitive work analysis facilitated by computer simulations. We use a temporal method, called the Joint Control Framework to describe human and automated work in an abstraction hierarchy labeled Levels of Autonomy in Cognitive Control. We use the Score notation to analyze patterns of temporal developments that span levels of the abstraction hierarchy and discuss implications for human-automation communication in traffic management. We discuss how autonomy at a lower level can prevent autonomy on higher levels, and vice versa. We also discuss the temporal nature of autonomy in minute-to-minute operative work. Our conclusion is that human autonomy in relation to autonomous systems is based on fundamental trade-offs between technological opportunities to automate and values of what human actors find meaningful.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2021. Vol. 4, article id 704082
Keywords [en]
human-centered AI; autonomy; scenario-based design; unmanned traffic management; joint control framework; interaction design; visualization design; UTM
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-179053DOI: 10.3389/frai.2021.704082ISI: 000751704800128PubMedID: 34355166OAI: oai:DiVA.org:liu-179053DiVA, id: diva2:1592379
Projects
UTM CITY
Funder
Swedish Transport Administration
Note

Funding: Swedish Transport Administration

Available from: 2021-09-08 Created: 2021-09-08 Last updated: 2022-03-09Bibliographically approved

Open Access in DiVA

fulltext(1826 kB)286 downloads
File information
File name FULLTEXT01.pdfFile size 1826 kBChecksum SHA-512
fd539f5822cdc3398d31829839607c0ee5c188e62305f6cb8ec930735af55184a109348d8d12003646565719ed8315f95f9f7099b411d494b5cf1aaf574e0b66
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records

Lundberg, JonasArvola, MattiasLundin Palmerius, Karljohan

Search in DiVA

By author/editor
Lundberg, JonasArvola, MattiasLundin Palmerius, Karljohan
By organisation
Media and Information TechnologyFaculty of Science & EngineeringHuman-Centered systemsFaculty of Arts and Sciences
In the same journal
Frontiers in Artificial Intelligence
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 289 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

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 262 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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