Bielozorov, Artem and Bezbradica, Marija and Helfert, Markus (2019) The Role of User Emotions for Content Personalization in e-Commerce: Literature Review. In: HCI in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2019. Lecture Notes in Computer Science (LNCS) (11588). Springer, pp. 177-193. ISBN 9783030223359

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Abstract

urchasing decisions do not always come from the rational mental processes but are often being driven by emotions. This insight made researchers think of emotions as of an essential contextual variable capable of enhancing personalized services and providing more precise recommendations within e-Commerce. In this paper we explore the studies made to discover why emotions are an important research domain necessary to understand purchasing behavior of online shoppers. We also explore how user emotions can be captured and recognized by existing technologies to provide enhanced personalization. Specifically, we apply Webster and Watson (2002) literature review approach to create a sample of studies published in scientific journals and conference proceedings. We synthesize the extant studies on the role of user emotions for personalized services within e-Commerce. We also provide a comprehensive concept-matrix which aggregates the range of existing emotions recognition technologies and highlights which specific emotions these technologies are able to recognize as well as in which domains these solutions are applied. Our study extends prior reviews and provides insights into open research areas which will benefit Human-Computer Interactions (HCI) practitioners and researchers in academia and industry.

Item Type:	Book Section
Additional Information:	Funding: The present work was conducted within the training network project PERFORM funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 76539. This study reflects only the authors’ view; the EU Research Executive Agency is not responsible for any use that may be made of the information it contains. This work was supported, in part, by Science Foundation Ireland grant 13/RC/2094 and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre (www.lero.ie). Cite as: Bielozorov A., Bezbradica M., Helfert M. (2019) The Role of User Emotions for Content Personalization in e-Commerce: Literature Review. In: Nah FH., Siau K. (eds) HCI in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2019. Lecture Notes in Computer Science, vol 11588. Springer, Cham. https://doi.org/10.1007/978-3-030-22335-9_12
Keywords:	Emotions recognition technologies; Personalization; Purchasing behavior; Recommender system;
Academic Unit:	Faculty of Social Sciences > School of Business Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
Item ID:	14249
Identification Number:	https://doi.org/10.1007/978-3-030-22335-9_12
Depositing User:	Markus Helfert
Date Deposited:	24 Mar 2021 15:47
Publisher:	Springer
Refereed:	Yes
Funders:	European Union Horizon 2020 programme, Science Foundation Ireland (SFI), European Regional Development Fund
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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