%0 Journal Article %1 citeulike:1246118 %A Alpert, Sherman R. %A Karat, John %A Karat, Clare-Marie %A Brodie, Carolyn %A Vergo, John G. %D 2003 %J User Modeling and User-Adapted Interaction %K 2470-072 2470-081 e-commerce empirical-study open-user-model personalization user-centered-design user-control %N 4 %P 373--396 %R 10.1023/a:1026201108015 %T User Attitudes Regarding a User-Adaptive eCommerce Web Site %U http://dx.doi.org/10.1023/a:1026201108015 %V 13

@article{citeulike:1246118, added-at = {2018-03-19T12:24:51.000+0100}, author = {Alpert, Sherman R. and Karat, John and Karat, Clare-Marie and Brodie, Carolyn and Vergo, John G.}, biburl = {https://www.bibsonomy.org/bibtex/20628378d0bc67e8c6593291ea0ce9e9b/aho}, citeulike-article-id = {1246118}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=947744}, citeulike-linkout-1 = {http://dx.doi.org/10.1023/a:1026201108015}, comment = {(private-note)Overview This article takes into account the user perception of adapting web interfaces to specific users. The focus of this study was specifically on E-commerce web sites. The author?s claim that the need for this arose because there was abundance of academic research claiming the greatness of these technologies even though sites were hesitant to incorporate the technologies and those sites that did often saw a decline in users. The Study The study was broken into three parts. All of the participants in the study conformed to the type of user that would typically be coming into an e-commerce computing web site. All were fairly technical, currently used the web for purchasing, were somewhat educated, and had a basic knowledge of computing equipment. In the first part, a set of users were given an interactive power point that represented a prototype of a PC computing e-commerce site. The users were shown three scenarios that exemplified the user adaptive features of the site.? The participants were then given a questionnaire to provide an assessment of the prototype. In the second part of the study, the authors gave a demonstration of the site showing the different features and how each could be used. This was done after making modifications to the site, based off the results of the first part of the study. The participants of the study were then asked to rank how valuable the features were on a one to seven scale. Using the results of the first two parts, a third study was developed where users were actually able to take the role of an actual user and use the interactive prototype. The users were given elaborate scenarios where they had to accomplish specific tasks using the prototype site. This study tested on the top 18 features. Results Control The clearest result of the study was that users wanted to be in control. Users wanted to be able to control what was in their profile, ?what information was collected, ?and what information stored. They also wanted to be able to modify this information at any time. Users also wanted their profile to only store information that was specifically provided. They did not want the system to try and implicitly add information to their profiles. Anything that the site should adapt to, should be provided by users. This completely contradicts the entire premise of having user adaptive technology on a site. However, users did like when the site was adapted based on information that was explicitly provided. It was also determined that if a user did not fully trust a site and felt their personal information might be used in any type of unethical manner, they would not use the site under any circumstance. Inferring what a user wants to do It was stated by the users that there was no good way for a computer to determine what a person intended to do. If it was possible, then filtering based on past events would a good thing, but since it could not be done right, it should not be done at all. The results of this study state that a rule of thumb for adapting to a user task should be limited to the session. Transient Information Users did not like when the site changed based on the connection speed. The reason is because users wanted to see consistency each time they came in. This directly contradicted a previous study done by another set of authors, Reeves and Nass, stating that users expected computers to follow the same social conventions that humans followed. This study determined that when transient information was used a governing factor, it should be made clear to the user. Collaborative Filtering For this study, it was determined that each user is individual and what someone else wanted typically had no effect on what the individual wanted. The authors pointed out that this study was based on buying computer equipment which tends to be more specific to the individual, therefore there may still be a desire for it in realms such as books, music, movies, etc. Conclusion There were three main conclusions to this study: 1. The development of an adaptive system is worthless unless users are included in the process. Each type of eCommerce Web site will be different and unless users are considered, it is impossible to determine usefulness of how to create an adaptive system. 2. A rush to market an immature technology can taint a user?s perspective of the technology. Even when the technology improves, users will still boycott it.?? 3. Users must feel in control over everything. This includes showing where the content comes from as well as giving users the opportunity to change it.}, day = 1, doi = {10.1023/a:1026201108015}, interhash = {14a24cb12123bdf7884f425a7ba3e451}, intrahash = {0628378d0bc67e8c6593291ea0ce9e9b}, journal = {User Modeling and User-Adapted Interaction}, keywords = {2470-072 2470-081 e-commerce empirical-study open-user-model personalization user-centered-design user-control}, month = nov, number = 4, pages = {373--396}, posted-at = {2007-04-23 23:57:15}, priority = {4}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{User Attitudes Regarding a User-Adaptive eCommerce Web Site}}, url = {http://dx.doi.org/10.1023/a:1026201108015}, volume = 13, year = 2003 }