Knowledge-based design requirements for persuasive generative social robots in eldercare

dc.contributor.authorVonschallen, Stephan
dc.contributor.authorZumthor, Ennio
dc.contributor.authorSimon, Markus
dc.contributor.authorSchmiedel, Theresa
dc.contributor.authorEyssel, Friederike
dc.contributor.editorStaffa, Mariacarla
dc.contributor.editorCabibihan, John-John
dc.contributor.editorSiciliano, Bruno
dc.contributor.editorGe, Shuzhi Sam
dc.contributor.editorBodenhagen, Leon
dc.contributor.editorTapus, Adriana
dc.contributor.editorRossi, Silvia
dc.contributor.editorCavallo, Filippo
dc.contributor.editorFiorini, Laura
dc.contributor.editorMatarese, Marco
dc.contributor.editorHe, Hongsheng
dc.date.accessioned2025-11-07T15:53:59Z
dc.date.issued2025
dc.event17th International Conference on Social Robotics + AI (ICSR)
dc.event.end2025-09-12
dc.event.start2025-09-10
dc.identifier.isbn978-981-95-2381-8
dc.identifier.isbn978-981-95-2382-5
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/53298
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofSocial Robotics + AI. 17th International Conference, ICSR+AI 2025, Naples, Italy, September 10–12, 2025, Proceedings, Part II
dc.spatialSingapur
dc.subjectSocial robotics
dc.subjectCollaborative robots
dc.subjectHuman-robot interaction
dc.subjectsocially interactive robots
dc.subject.ddc330 - Wirtschaft
dc.subject.ddc620 - Ingenieurwissenschaften und Maschinenbau
dc.titleKnowledge-based design requirements for persuasive generative social robots in eldercare
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryClosed
fhnw.publicationStatePublished
relation.isAuthorOfPublication30687e08-4b8b-46a2-9817-b9f80c52b325
relation.isAuthorOfPublicationd5fca550-1c54-4fd7-9324-7f3819098df1
relation.isAuthorOfPublication692ff2f4-8d8e-4134-a00e-98288a802f92
relation.isAuthorOfPublication.latestForDiscovery30687e08-4b8b-46a2-9817-b9f80c52b325
Dateien

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Lade...
Vorschaubild
Name:
license.txt
Größe:
2.66 KB
Format:
Item-specific license agreed upon to submission
Beschreibung: