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Knowing what a user likes: A design science approach to interfaces that automatically adapt to culture

Reinecke, Katharina; Bernstein, Abraham (2013). Knowing what a user likes: A design science approach to interfaces that automatically adapt to culture. MIS Quarterly, 37(2):427-453.

Abstract

Adapting user interfaces to a user’s cultural background can increase satisfaction, revenue, and market share. Conventional approaches to catering for culture are restricted to adaptations for specific countries and modify only a limited number of interface components, such as the language or date and time formats. We argue that a more comprehensive personalization of interfaces to cultural background is needed to appeal to users in expanding markets. This paper introduces a low-cost, yet efficient method to achieve this goal: cultural adaptivity. Culturally adaptive interfaces are able to adapt their look and feel to suit visual preferences. In a design science approach, we have developed a number of artifacts that support cultural adaptivity, including a prototype web application. We evaluate the efficacy of the prototype’s automatically generated interfaces by comparing them with the preferred interfaces of 105 Rwandan, Swiss, Thai, and multicultural users. The findings demonstrate the feasibility of providing users with interfaces that correspond to their cultural preferences in a novel yet effective manner.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Social Sciences & Humanities > Management Information Systems
Physical Sciences > Information Systems
Physical Sciences > Computer Science Applications
Social Sciences & Humanities > Information Systems and Management
Scope:Discipline-based scholarship (basic research)
Language:English
Date:2013
Deposited On:19 Mar 2013 10:01
Last Modified:08 Sep 2024 01:39
Publisher:Management Information Systems Research Center, Carlson School of Management, University of Minnesota
ISSN:2162-9730
OA Status:Green
Publisher DOI:https://doi.org/10.25300/MISQ/2013/37.2.06
Other Identification Number:merlin-id:7283
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