oru.sePublications
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
Monitoring elderly people with the robocare domestic environment: interaction synthesis and user evaluation
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-9652-7864
Show others and affiliations
2011 (English)In: Computational intelligence, ISSN 0824-7935, E-ISSN 1467-8640, Vol. 27, no 1, p. 60-82Article in journal (Refereed) Published
Abstract [en]

This article describes aspects of a fully implemented artificial intelligence (AI) system that integrates multiple intelligent components to actively assist an elderly person at home. Specifically, we describe how constraint-based scheduling technology is used to actively monitor a pattern of activities executed by the person and how detected temporal constraint violations are used to trigger meaningful and contextualized proactive interactions. This article also presents a psychological evaluation of the system focusing on elderly people’s attitudes, in which system acceptability, perceived utility, interaction modality, and emotional response are considered.

Place, publisher, year, edition, pages
Wiley-Blackwell, 2011. Vol. 27, no 1, p. 60-82
Keywords [en]
AI in eldercare, intelligent interaction, schedule monitoring, user evaluation
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-17132DOI: 10.1111/j.1467-8640.2010.00372.xISI: 000287401200005Scopus ID: 2-s2.0-79951780022OAI: oai:DiVA.org:oru-17132DiVA, id: diva2:438756
Available from: 2011-09-05 Created: 2011-09-02 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Pecora, Federico

Search in DiVA

By author/editor
Pecora, Federico
By organisation
School of Science and Technology
In the same journal
Computational intelligence
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 550 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