A PLATFORM FOR INVESTIGATING EFFECTIVENESS FOR STATIC, ADAPTABLE, ADAPTIVE, AND MIXED-INITIATIVE ENVIRONMENTS IN E-COMMERCE

Khalid Al-Omar, Dimitris Rigas

2008

Abstract

This paper introduces an empirical study to investigate the use of four interaction conditions: Static, Adaptable, Adaptive, and Mixed-initiative. The aim of this study is to compare the effectiveness of these four conditions with regard to the number of tasks completed by all users and the number of users who completed all tasks. In order to carry out this comparative investigation, four experimental interfaces were built separately. These environments were tested independently by four separate groups of users, each group consisting of 15 users. The results demonstrated that in the searching tasks the most effective condition was the Mixed-Initiative. In the learnable tasks the most effective condition was the Adaptable condition. In addition, the Static approach was found to be less effective than all other approaches.

References

  1. Alotabibi, M. & Alzahrani, R. (2004) Evaluating eBusiness Adoption: Opportunities and Threats. Journal of King Saud University, 17, 29-41.
  2. Bunt, A., Conati, C. & Mcgrenere, J. (2004) What role can adaptive support play in an adaptable system? Proceedings of the 9th international conference on Intelligent user interfaces, 117-124.
  3. Bunt, A., Conati, C. & Mcgrenere, J. (2007) Supporting interface customization using a mixed-initiative approach. Proceedings of the 12th international conference on Intelligent user interfaces, 92-101.
  4. Debevc, M., Meyer, B., Donlagic, D. & Svecko, R. (1996) Design and evaluation of an adaptive icon toolbar. User Modeling and User-Adapted Interaction, 6, 1-21.
  5. Findlater, L. & Mcgrenere, J. (2004) A comparison of static, adaptive, and adaptable menus. Proceedings of the 2004 conference on Human factors in computing systems, 89-96.
  6. Fink, J., Kobsa, A. & Nill, A. (1998) Adaptable and adaptive information provision for all users, including disabled and elderly people. The New Review of Hypermedia and Multimedia, 4, 163-188.
  7. Gajos, K., Christianson, D., Hoffmann, R., Shaked, T., Henning, K., Long, J. J. & Weld, D. S. (2005) Fast and robust interface generation for ubiquitous applications. Proc. of Ubicomp, 37-55.
  8. Greenberg, S. & Witten, I. H. (1985) Adaptive personalized interfaces-A question of viability. Behaviour & Information Technology, 4, 31-45.
  9. Holzinger, A., Kickmeier-rust, M., & Albert, D. (2008) Dynamic Media in Computer Science Education; Content Complexity and Learning Performance: Is Less More? Educational Technology & Society,, 11, 279-290.
  10. Mcgrenere, J., Baecker, R. M. & Booth, K. S. (2002) An evaluation of a multiple interface design solution for bloated software. Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves, 164-170.
  11. Mcgrenere, J., Baecker, R. M. & Booth, K. S. (2007) A field evaluation of an adaptable two-interface design for feature-rich software.
  12. Mitchell, J. & Shneiderman, B. (1989) Dynamic versus static menus: an exploratory comparison. ACM SIGCHI Bulletin, 20, 33-37.
  13. Robert, T. & Dermot, P. B. (1987) A self-regulating adaptive system. SIGCHI Bull., 18, 103-107.
  14. TE'ENI, D. & FELDMAN, R. (2001) Performance and satisfaction in adaptive websites: An experiment on searches within a task-adapted website. Journal of the Association for Information Systems, 2, 1-30.
  15. Thomas, C. G. & Krogsaeter, M. (1993) An adaptive environment for the user interface of Excel. Proceedings of the 1st international conference on Intelligent user interfaces, 123-130.
Download


Paper Citation


in Harvard Style

Al-Omar K. and Rigas D. (2008). A PLATFORM FOR INVESTIGATING EFFECTIVENESS FOR STATIC, ADAPTABLE, ADAPTIVE, AND MIXED-INITIATIVE ENVIRONMENTS IN E-COMMERCE . In Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008) ISBN 978-989-8111-58-6, pages 191-196. DOI: 10.5220/0001911901910196


in Bibtex Style

@conference{ice-b08,
author={Khalid Al-Omar and Dimitris Rigas},
title={A PLATFORM FOR INVESTIGATING EFFECTIVENESS FOR STATIC, ADAPTABLE, ADAPTIVE, AND MIXED-INITIATIVE ENVIRONMENTS IN E-COMMERCE},
booktitle={Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008)},
year={2008},
pages={191-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001911901910196},
isbn={978-989-8111-58-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008)
TI - A PLATFORM FOR INVESTIGATING EFFECTIVENESS FOR STATIC, ADAPTABLE, ADAPTIVE, AND MIXED-INITIATIVE ENVIRONMENTS IN E-COMMERCE
SN - 978-989-8111-58-6
AU - Al-Omar K.
AU - Rigas D.
PY - 2008
SP - 191
EP - 196
DO - 10.5220/0001911901910196