Designing personalized user experiences for eCommerce: theory, methods, and research
05 Apr 2003-pp 1040-1041
TL;DR: The aim of the two-day workshop is to create a theoretical framework on personalization of the user experience in eCommerce to help identify critical questions and guide future research.
Abstract: The present workshop aims to form a community of individuals interested in exploring the user implications of personalized eCommerce applications. People working in industry, academia, and government are welcomed to participate. The aim of the two-day workshop is to access the current state of theory, methods, and research in this area and to create a theoretical framework on personalization of the user experience in eCommerce to help identify critical questions and guide future research.
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TL;DR: An enhanced solution being developed within the ELENA project from the European IST 5th Framework Programme is described, built up on the existing standards, but it introduces new features enabling better protection of sensitive data and more efficient management, enabling the users to decide about the relevant protection.
45 citations
TL;DR: A survey with an outline of an agenda for a comprehensive, interdisciplinary view of Web mining and privacy, which draws on notions of privacy not only as hiding, but as control and negotiation, as well as on data mining as the whole cycle of knowledge discovery.
Abstract: Over the last decade, privacy has been widely recognised as one of the major problems of data collections in general and the Web in particular. This concerns specifically data arising from Web usage (such as querying or transacting) and social networking (characterised by rich self-profiling including relational information) and the inferences drawn from them. The data mining community has been very conscious of these issues and has addressed in particular the inference problems through various methods for "privacy-preserving data mining" and "privacy-preserving data publishing". However, it appears that these approaches by themselves cannot effectively solve the privacy problems posed by mining. We argue that this is due to the underlying notions of privacy and of data mining, both of which are too narrow. Drawing on notions of privacy not only as hiding, but as control and negotiation, as well as on data mining not only as modelling, but as the whole cycle of knowledge discovery, we offer an alternative view. This is intended to be a comprehensive view of the privacy challenges as well as solution approaches along all phases of the knowledge discovery cycle. The paper thus combines a survey with an outline of an agenda for a comprehensive, interdisciplinary view of Web mining and privacy.
23 citations
Cites background from "Designing personalized user experie..."
...Why is it that even though users have professed to valuing their privacy throughout (and even before) this decade of Web mining (e.g., Teltzrow and Kobsa 2003), they have kept sharing highly sensitive data with peers (as in social networks, see the examples above) and others (as in e-Commerce, cf.…...
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...B. Berendt (B) Department of Computer Science, K.U. Leuven, Leuven, Belgium e-mail: bettina.berendt@cs.kuleuven.be URL: http://people.cs.kuleuven.be/bettina.berendt/...
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26 Mar 2003
TL;DR: This paper presents a software architecture that encapsulates the different personalization methods in individual components and ascertains the dynamic selection of the component with the optimal anticipated personalization effects among those that are permissible under the currently prevailing privacy constraints.
Abstract: User-adaptive (or ”personalized”) systems on the web cater their interaction to each individual user and provide considerable benefits to both users and web vendors. These systems pose privacy problems, however, since they must collect large amounts of personal information to be able to adapt to users, and often do this in a rather inconspicuous manner. The interaction with personalized systems is therefore likely to be affected by users’ privacy concerns, and is in many cases also subject to privacy laws and self-regulatory privacy principles. An analysis of nearly 30 international privacy laws revealed that many of them impose severe restrictions not only on the data that may be collected but also on the personalization methods that may be employed. For many personalization goals, more than one methods can be used that differ in their data and privacy requirements and their anticipated accuracy and reliability. This paper presents a software architecture that encapsulates the different personalization methods in individual components and, at any point during runtime, ascertains the dynamic selection of the component with the optimal anticipated personalization effects among those that are permissible under the currently prevailing privacy constraints.
23 citations
26 Jul 2019
TL;DR: This paper synthesizes the extant studies on the role of user emotions for personalized services within e-Commerce and provides 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.
Abstract: 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 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.
8 citations
References
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Book•
01 Jul 1993
712 citations
"Designing personalized user experie..." refers background in this paper
...The driving force behind this development is the view of personalization as a means of practicing Customer Relationship Management [2]....
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TL;DR: Three linked qualitative studies were performed to investigate why people choose to personalize the appearance of their PCs and mobile phones and what effects personalization has on their subsequent perception of those devices.
Abstract: Three linked qualitative studies were performed to investigate why people choose to personalize the appearance of their PCs and mobile phones and what effects personalization has on their subsequent perception of those devices. The 1st study involved 35 frequent Internet users in a 2-stage procedure. In the 1st phase they were taught to personalize a commercial Web portal and then a recommendation system, both of which they used in the subsequent few days. In the 2nd phase they were allocated to 1 of 7 discussion groups to talk about their experiences with these 2 applications. Transcripts of the discussion groups were coded using grounded theory analysis techniques to derive a theory of personalization of appearance that identifies (a) user-dependent, system-dependent, and contextual dispositions; and (b) cognitive, social, and emotional effects.
The 2nd study concentrated on mobile phones and a different user group. Three groups of Finnish high school students discussed the personalization of their mobile phones. Transcripts of these discussions were coded using the categories derived from the 1st study and some small refinements were made to the theory in the light of what was said. Some additional categories were added; otherwise, the theory was supported. In addition, 3 independent coders, naive to the theory, analyzed the transcripts of 1 discussion group each. A high degree of agreement with the investigators' coding was demonstrated. In the 3rd study, a heterogeneous sample of 8 people who used the Internet for leisure purposes were visited in their homes. The degree to which they had personalized their PCs was found to be well predicted by the dispositions in the theory. Design implications of the theory are discussed.
199 citations
IBM1
TL;DR: The Internet with its Web services is uniquely positioned to really enable personalization because—I hate to use this old phrase—“its the unifying protocol between computing and communication.
Abstract: COMMUNICATIONS OF THE ACM August 2000/Vol. 43, No. 8 41 DR: It appears the Internet has been a motivating force in the design and creation of service features that attempt to personalize and help users and customers satisfy their individual goals in the use of many Web services. Do you concur with this point of view? KE: I believe it has. I think we are at the beginning of what the Internet and personalization are going to enable users and customers to do. It is important to note that personalization means many things to many people. Generally, what it means to me is oneto-one anything, even though it’s a one-to-many experience. So, if you think about this as the Web, anybody can be going to the Web, but it’s when I interact with the Web that it’s a personalized experience to me. So a useful question is, how do you actually enable my user experience to be something that’s enriching, compelling, serves my needs, and target goal alignment in terms of fulfilling my needs? I think the Internet with its Web services is uniquely positioned to really enable personalization because—I hate to use this old phrase—“its the unifying protocol between computing and communication.” Prior to this, we were able to do personalized communication through the telephone or personalized email, both of which are a one-to-one or one-to-many experience. It is not until you start to marry all the applications imaginable within the industry and then marry that with some front end—call it Web veneer, artificial intelligence, or a type of search engine—that a service then feels personal to me. It’s when I can put in filters, agents, personal screens, some set of rules defining what kind of advertising I want to receive, that I have personal control over the flow of information I send and receive. I think the industry has a tremendous ramp ahead of it over the next 5 to 10 years, but the benefits will be rewarding for everyone. I suspect this might be the last major platform for computing in my lifetime. That does not mean there will not be another one beyond it.
15 citations