Change search
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
Memento hominibus: on the fundamental role of end users in real-world interactions with neuromorphic systems
Donders Institute for Brain, Cognition, and Behaviour Radboud University , Nijmegen, Netherlands and Interaction Lab, School of Informatics University of Skövde, Skövde, Sweden.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.ORCID iD: 0000-0003-2900-9335
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this contribution, we briefly examine the role of end users in the evaluation and characterisation of sophisticated AI-based systems, such as autonomous vehicles or near-future robots. Indeed, when trying to ensure the safety of learning, perception and control in real world settings, one aspect that needs consideration is that human end users are often part of such settings. We argue that current approaches for considering end users in this respect are insufficient, not the least from a safety perspective, and that this insufficiency will become more acute when transitioning to neuromorphic and/or strongly cognitively inspired solutions. We demonstrate this by borrowing examples from the field of enactivism, which demonstrate that human end users might change the system dynamics of advanced neuromorphic systems when interacting with them, which needs to be taken into consideration. Enactivism might also provide clues as to how to design future evaluation metrics for human-machine teams.

Place, publisher, year, edition, pages
2019.
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:hj:diva-45855OAI: oai:DiVA.org:hj-45855DiVA, id: diva2:1349467
Conference
Robust Artificial Intelligence for Neurorobotics, 26 – 28 August 2019, Edinburgh, Scotland
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Fulltext

Authority records BETA

Riveiro, Maria

Search in DiVA

By author/editor
Riveiro, Maria
By organisation
JTH, Computer Science and Informatics
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 5 hits
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