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Product Experience Wall: A Context-adaptive Outfit Recommender System

dc.contributor.authorZagel, Christiande_DE
dc.contributor.editorButz, Andreasde_DE
dc.contributor.editorKoch, Michaelde_DE
dc.contributor.editorSchlichter, Johannde_DE
dc.date.accessioned2017-11-22T14:55:47Z
dc.date.available2017-11-22T14:55:47Z
dc.date.issued2014
dc.description.abstractThis paper presents research in progress and describes the concept of the so called „Product Experience Wall“, an interactive and context-adaptive outfit recommendation system for retail fashion stores. The goal is to design an experiential system that serves both, functional and hedonic needs. Context adaption allows pro-actively approaching the user and recommending products based on the respective user context. Next to face detection algorithms, we use RFID sensors and interfaces to external data sources (e.g., weather information) to create a unique customer experience. This experience is furthermore supported by displaying product combinations on virtual, life-size avatars. The core functionality of the concept is based on the findings of 32 qualitative customer interviews.de_DE
dc.identifier.isbn978-3-11-034448-6de_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/7563
dc.language.isoende_DE
dc.publisherDe Gruyter Oldenbourgde_DE
dc.relation.ispartofMensch & Computer 2014 - Tagungsbandde_DE
dc.subjectcontext adaptionde_DE
dc.subjectavatarsde_DE
dc.subjectcustomer experiencede_DE
dc.subjectretailde_DE
dc.subjectself-service technologyde_DE
dc.subjectUser Experience Designde_DE
dc.subjectPrototypingde_DE
dc.subjectInteraktionsmodellierungde_DE
dc.subjectAdaptivität und Benutzermodellierungde_DE
dc.subjectVirtuelle Charaktere und Avatarede_DE
dc.subjectEntertainment Interfacesde_DE
dc.titleProduct Experience Wall: A Context-adaptive Outfit Recommender Systemde_DE
dc.typeText/Workshop Paperde_DE
gi.citation.endPage370
gi.citation.publisherPlaceBerlinde_DE
gi.citation.startPage367de_DE
gi.conference.sessiontitlePoster Sessionde_DE
gi.document.qualitydigidocde_DE

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