The role of user emotions for content personalization in e-commerce: literature review
Bielozorov, Artem, Bezbradica, MarijaORCID: 0000-0001-9366-5113 and Helfert, MarkusORCID: 0000-0001-6546-6408
(2019)
The role of user emotions for content personalization in e-commerce: literature review.
In: 21stT International Conference on Human-Computer Interaction (HCI INTERNATIONAL 2019), 26 - 31 July 2019, Orlando, FL, USA.
ISBN 978-3-030-22335-9
Purchasing 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 the 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.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
No
Uncontrolled Keywords:
Emotions recognition technologies; Personalization; Purchasing behavior; Recommender system
Nah, Fiona Fui-Hoon and Siau, Keng, (eds.)
HCI in Business, Government and Organizations. eCommerce and Consumer Behavior: Part 1. Lecture Notes in Computer Science (LNCS)
11588.
Springer, Cham. ISBN 978-3-030-22335-9
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 76539., Science Foundation Ireland grant 13/RC/2094, European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre (www.lero.ie).
ID Code:
24015
Deposited On:
11 Dec 2019 13:24 by
Artem Bielozorov
. Last Modified 11 Dec 2019 13:24