An estimation framework of a user learning curve on web-based interface using eye tracking equipment

Authors:
Masanori Akiyoshi;Hidetoshi Takeno
Affiliations:
Hiroshima Institute of Technology, Hiroshima, Japan;Hiroshima Institute of Technology, Hiroshima, Japan
Venue:
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: human-centred design approaches, methods, tools, and environments - Volume Part I
Year:
2013

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Abstract

This paper addresses an estimation framework of a user learning curve on Web-based interface. Recent Web-based interface has rich features such as "dynamic menu", "animation" and so forth. A user sometimes gets lost in menus and hyperlinks, but gradually improves the performance of his/her task that is to find target information during the session. This performance change is in a sense considered to be "learning curve" as to the Web-based interface. To estimate the "learning curve" is necessary to evaluate the Web-based interface from the viewpoint of a user's task achievement. Our proposed estimation framework consists of two steps; One is to identify the relationships among the processing time, eye tracking log, and Web structure. The other is to identify the estimated formula as a "learning curve". This paper reports the relationship from preliminary experiment using several Web pages and eye tracking log.