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Titel:

Towards Identifying Contextual Factors on Parking Lot Decisions

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Goffart, Klaus; Schermann, Michael; Kohl, Christopher; Preissinger, Jörg; Krcmar, Helmut
Nicht-TUM Koautoren:
nein
Kooperation:
national
Abstract:
The relevance of contextual factors that adapt in-car recommendations to the driver?s current situation is not yet fully understood. This paper presents a field study that has been conducted in order to identify relevant contextual factors of in-car parking lot recommender systems. Surprisingly, most contextual factors examined, i.e., weather, luggage, and traffic conditions, did not have a significant effect on the parking lot decision in the conducted field study. Only the urgency of the trip...     »
Kongress- / Buchtitel:
Proceedings of the 22nd International Conference on User Modeling, Adaptation, and Personalization (UMAP 2014)
Kongress / Zusatzinformationen:
Proceedings of the 22nd International Conference on User Modeling, Adaptation, and Personalization (UMAP 2014)
Verlag / Institution:
Springer International Publishing
Jahr:
2014
Monat:
Jul
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Professional Journal:
Ja
Interdisziplinarität:
Nein
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