Implicit predictive indicators: Mouse activity and dwell time

Stephen Akuma, C. Jayne, Rahat Iqbal, Faiyaz Doctor

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)


    Humans vary in their learning behaviour. It is difficult to predict the actual needs of learners through their search activity. It is also difficult to predict accurately the level of satisfaction after the learner finds a perceived relevant document. This research is a preliminary study to examine the predictive strength of some implicit indicators on web documents. An automated study was carried out and 13 participants were given 15 short documents to read and rate according to their perception of relevance to a given topic area. An investigation was carried out to examine if there exists a correlation between user generated implicit indicators and the explicit ratings. The findings show that there is a positive correlation between the dwell time and user explicit ratings. Although there was no significant correlation between mouse movement/distance and user explicit rating, there was a relationship between the homogeneous clusters of the implicit indicators and the user ratings.
    Original languageEnglish
    Pages (from-to)162-171
    JournalIFIP Advances in Information and Communication Technology
    Publication statusPublished - 2014

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    • Dwell time
    • Explicit rating
    • Implicit indicators
    • Mouse activity


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