Reasoning About Users' Actions in a Graphical User Interface

Bibliographic Data

ID15215794
AuthorsMaria Virvou (0000-0002-4008-4654, University of Piraeus, corresponding author), Katerina Kabassi (0000-0003-4328-0084, University of Piraeus)
Year2002
Volume17
Issue4
Pages369-398
Publication date2002-12-01
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1207/s15327051hci1704_2
OpenAlexW2054271015
LanguageEN
References cited20

This article is about a graphical user interface (GUI) that provides intelligent help to users. The GUI is called IFM (Intelligent File Manipulator). IFM monitors users while they work; if a user has made a mistake with respect to his or her hypothesized intentions, then IFM intervenes automatically and offers advice. IFM has two underlying reasoning mechanisms: One is based on an adaptation of a cognitive theory called human plausible reasoning and the other one performs goal recognition based on the effects of users' commands. The requirement analysis of the system has been based on an empirical study that was conducted involving real users of a standard file manipulation program like the Windows Explorer; this analysis revealed a need for intelligent help. Finally, IFM has been evaluated in comparison with a standard file manipulation GUI and in comparison with human experts acting as consultants. The results of the evaluation showed that IFM can produce successfully advice that is helpful to users

Adaptation (eye · Advice (programming · Graphical user interface · Graphical user interface testing · Human–computer interaction · Interface (matter · Mistake · Operating system · Programming language · User experience design · User interface · User interface design · Computer Science · Human-Automation Interaction and Safety · Personal Information Management and User Behavior · Usability and User Interface Design

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