TY - GEN
T1 - An empirical study of web personalization assistants
T2 - 2002 IEEE Symposia on Human Centric Computing Languages and Environments, HCC 2002
AU - Kim, Kibum
AU - Carroll, J. M.
AU - Rosson, M. B.
PY - 2002
Y1 - 2002
N2 - 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).
AB - 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).
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U2 - 10.1109/HCC.2002.1046347
DO - 10.1109/HCC.2002.1046347
M3 - Conference contribution
AN - SCOPUS:33745318631
SN - 0769516440
SN - 9780769516448
T3 - Proceedings - IEEE 2002 Symposia on Human Centric Computing Languages and Environments, HCC 2002
SP - 60
EP - 62
BT - Proceedings - IEEE 2002 Symposia on Human Centric Computing Languages and Environments, HCC 2002
Y2 - 3 September 2002 through 6 September 2002
ER -