Logo des Repositoriums
 

Personalizing Large Information Radiators Using Emotion Recognition

dc.contributor.authorStojko, Laura
dc.contributor.authorKoch, Michael
dc.date.accessioned2023-08-24T06:24:28Z
dc.date.available2023-08-24T06:24:28Z
dc.date.issued2023
dc.description.abstractKnowledge exchange in corporate settings can be facilitated by using large interactive displays, information radiators, displaying information about employees, current work topics, and projects. This paper gathers ideas about how to enhance the user’s experience proactively using emotion recognition and how this could be useful for personalizing the interaction. Based on the literature, ideas of how this could be done are described. This should encourage discussions and creative visions about how to use emotion recognition as implicit user feedback for personalization.de
dc.identifier.doi10.18420/muc2023-mci-ws12-242
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/42121
dc.publisherGI
dc.relation.ispartofMensch und Computer 2023 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titlePersonalizing Large Information Radiators Using Emotion Recognitionde
dc.typeText/Workshop Paper
gi.conference.date3.-6. September 2023
gi.conference.locationRapperswil
gi.conference.sessiontitleMCI-WS12: ABIS 2023 - 27th International Workshop on Personalization and Recommendation

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
muc23-mci-ws12-242.pdf
Größe:
2.43 MB
Format:
Adobe Portable Document Format