Designing and Serving a Dedicated Interface

Adam Wasilewski
Additional contact information
Adam Wasilewski: Wrocław University of Science and Technology

Chapter Chapter 4 in Multi-variant User Interfaces in E-commerce, 2024, pp 67-84 from Springer

Abstract: Abstract From the perspective of an e-shop customer, the most prominent aspect of a multi-interface solution is the availability of interface variants offered to specific user groups. The design of these variants should not be arbitrary but based on an analysis of the collective traits of customer clusters and the typical behavior exhibited by members of these groups. Consequently, it is imperative to establish both a flexible and an efficient mechanism for crafting modifications to UI variants and a means of accessing information concerning characteristics that may influence the deployment of specific changes. Given that the impact of UI changes on customer behavior cannot be definitively assessed ex ante, it is necessary to devise a method for evaluating the quality of proposed UI variants. This evaluation should take into account the choices made and the behavior of users who have been exposed to the personalization. It plays a pivotal role in deciding whether to retain or withdraw the modifications. By relying on a list of potential changes and the values of selected indicators obtained through a tool that assesses their impact on purchasing decisions, one can iteratively seek the optimal user interface variants for each customer cluster. In practice, this iterative process can lead to the development of a self-adaptive mechanism that utilizes a multivariant user interface to automatically fine-tune the implemented UI modifications to suit the unique characteristics of individual e-commerce customer clusters. This chapter delves into a practical methodology for crafting custom e-commerce user interface variants. It outlines the process of translating the attributes of the identified customer clusters and their behaviors into tailored layout modifications. Furthermore, it explores methods for quantifying the efficacy of implemented UI changes and proposes algorithms that facilitate the self-adaptation of e-commerce UI variants.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-67758-8_4

Ordering information: This item can be ordered from
http://www.springer.com/9783031677588

DOI: 10.1007/978-3-031-67758-8_4

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().