integrating click-through and eye-tracking logs for decision-making process mining

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ID: 199334
2014
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Abstract
In current software every click of the users is logged, therefore a wealth of click-through information exists. Besides, recent technologies have made eye-tracking affordable and an alternative to other human-computer interaction means (e.g. mouse, touchscreens). A big challenge is to make sense of all this data and convert it into useful information. This paper introduces a possible solution placed in the context of decision-making processes. We show how the decision maker's activity can be traced using two means: mouse tracing (i.e. clicks) and eye-tracking (i.e. eye fixations). Then, we discuss a mining approach, based on the log, which extracts a Decision Data Model (DDM). We use the DDM to determine, post-hoc, which decision strategy was employed. The paper concludes with a validation based on a controlled experiment.
Reference Key
petrusel2014informaticintegrating Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Razvan PETRUSEL
Journal fuel
Year 2014
DOI
10.12948/issn14531305/18.1.2014.05
URL
http://www.revistaie.ase.ro/content/69/05%20-%20Petrusel.pdf
Keywords
information resources library science

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