Remote usability analysis of multimodal information regarding user behaviour

In this paper we describe MultiModal WebRemUsine, a tool for remote usability evaluation of web sites that considers data coming from log files, videos recorded during user tests, and an eye-tracker. The tool performs an automatic evaluation of the usability of the considered web site by comparing such data (which describe the actual behaviour of the users) with that contained in the task model associated with the pages (which describes the expected behaviour of the user). The results of the analysis performed by the tool are provided to the evaluators in terms of task not completed, errors occurring during the performance of tasks, time for completing a task, etc. These results are provided along with information regarding the user behaviour during the task performance. Using such data, evaluators should be in a position to identify problematic parts of the website and make improvements, when necessary. An example of application of the proposed method is also shown in the paper.