Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process Mining

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...

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Main Author: Razvan PETRUSEL
Format: Article
Language:English
Published: Inforec Association 2014-01-01
Series:Informatică economică
Subjects:
Online Access:http://www.revistaie.ase.ro/content/69/05%20-%20Petrusel.pdf
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author Razvan PETRUSEL
author_facet Razvan PETRUSEL
author_sort Razvan PETRUSEL
collection DOAJ
description 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.
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spelling doaj.art-9f9dadf57d064a3f84f9121f5e4573362022-12-21T19:55:15ZengInforec AssociationInformatică economică1453-13051842-80882014-01-01181566810.12948/issn14531305/18.1.2014.05Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process MiningRazvan PETRUSELIn 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.http://www.revistaie.ase.ro/content/69/05%20-%20Petrusel.pdfDecision-Making Process ModelData-Flow ModelDecision Process Mining
spellingShingle Razvan PETRUSEL
Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process Mining
Informatică economică
Decision-Making Process Model
Data-Flow Model
Decision Process Mining
title Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process Mining
title_full Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process Mining
title_fullStr Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process Mining
title_full_unstemmed Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process Mining
title_short Integrating Click-Through and Eye-Tracking Logs for Decision-Making Process Mining
title_sort integrating click through and eye tracking logs for decision making process mining
topic Decision-Making Process Model
Data-Flow Model
Decision Process Mining
url http://www.revistaie.ase.ro/content/69/05%20-%20Petrusel.pdf
work_keys_str_mv AT razvanpetrusel integratingclickthroughandeyetrackinglogsfordecisionmakingprocessmining