An empirical study of web personalization assistants: Supporting end-users in web information systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Currently, the two main techniques for achieving personalization on the Internet involve direct manipulation and software agents. While both direct manipulation and software agents are aimed at permitting end-users to finish tasks rapidly, efficiently, and easily, their methodologies differ The central controversy involving these personalization techniques derives from the amount of control that each grants to - or withholds from - the end-user. Direct manipulation interfaces afford control and predictability to end-users. Alternatively, the use of software agents captures or records user's personalized preferences by employing artificial intelligence techniques. In this empirical study, two end-user Web personalization tools are evaluated. One of them, WebPersonalizer, is an agent-based end-user personalization tool; the other, AntWorld, is a collaborative recommendation tool which provides direct manipulation interfaces. The purpose of this study is to determine the strengths and weaknesses of each opposed technique-direct manipulation and software agents - as a Web personalization assistant. In addition, we suggest the hybrid paradigm for EUP (end-user programming).

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 2002 Symposia on Human Centric Computing Languages and Environments, HCC 2002
Pages60-62
Number of pages3
DOIs
StatePublished - Dec 1 2002
Event2002 IEEE Symposia on Human Centric Computing Languages and Environments, HCC 2002 - Toronto, ON, Canada
Duration: Sep 3 2002Sep 6 2002

Publication series

NameProceedings - IEEE 2002 Symposia on Human Centric Computing Languages and Environments, HCC 2002

Other

Other2002 IEEE Symposia on Human Centric Computing Languages and Environments, HCC 2002
CountryCanada
CityToronto, ON
Period9/3/029/6/02

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

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    Kim, K., Carroll, J., & Rosson, M. B. (2002). An empirical study of web personalization assistants: Supporting end-users in web information systems. In Proceedings - IEEE 2002 Symposia on Human Centric Computing Languages and Environments, HCC 2002 (pp. 60-62). [1046347] (Proceedings - IEEE 2002 Symposia on Human Centric Computing Languages and Environments, HCC 2002). https://doi.org/10.1109/HCC.2002.1046347