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An Investigation of Usability Issues with Mobile Systems Using a Mobile Eye Tracker thesis by Marie Norlien International University in Germany Thesis supervisors: Prof. Dr. Anthony Jameson & Prof. Dr. Karl Rohr
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Outline Introduction Mobile eye tracker Study performed of mobile systems with a mobile eye tracker Conclusion What is left to do Acknowledgements
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Introduction Mobile systems raise many usability issues that are not yet well understood. One technique for acquiring data relevant to these issues is the use of a head-mounted mobile eye tracker The goals of this thesis are To explore the potential and limitations of an eye tracker in example studies of one or more typical mobile systems To contribute some insights into particular usability problems that arise with those systems.
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Outline Introduction Mobile eye tracker Study performed of mobile systems with a mobile eye tracker Conclusion What is left to do Acknowledgements
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Eye tracker ASL Model 501 mobile eye tracker Worn on users body One camera records the scene the user is looking at; the other camera records the user’s eye movements
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Eye tracker Strengths Subject is free to move without losing accuracy of calibration Mobile, within the range of the video receiver Subject can wear glasses Limitations Subject is wearing many pieces of equipment, which can be uncomfortable Difficult to calibrate and set up initially Viewing plane is restricted to the view of the scene camera Cannot use outside
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Eye tracker Calibration process Subjects must be in a fixed position during calibration for the best recording of accurate data The subject’s eye must not be obstructed by the subject’s eyelid For example, the eyelid mostly covers the eye when a subject is looking down at a Pocket PC
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Eye tracker Potential barriers to accurate calibration Physical movement of the subject Even slight movement unnoticed by the subject Excessive overhead light, sunlight, or spot lighting Inadequate pupil and/or corneal reflection Solutions Good Calibration methodology Subject should be fixed during calibration Preventing light with the use of a sun-umbrella, dark walls, and anti-glare calibration surfaces
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Outline Introduction Mobile eye tracker Study performed of mobile systems with a mobile eye tracker Conclusion What is left to do Acknowledgements
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Study performed We analyzed two types of systems Xybernaut – a small handheld PC with a basic indoor navigation system based on infrared sensors REAL software developed by the Department of Computer Science, Saarbrücken University The Compaq Ipaq or Hewlett-Packard (HP) Jornada pocket PC installed with market Global Positioning System (GPS) hardware and software
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Study performed Xybernaut Functionality includes indoor navigation via maps visible to the user from the system screen The system is configured for a planned route in the Computer Science department at Saarbrücken University Investigate how a user can manage multi- tasking with a mobile system
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Study performed Xybernaut Xybernaut hardware with REAL software
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Study performed Pocket PC Functionality includes outdoor navigation via a map visible to the user from the pocket PC screen, which the user can manipulate via menus and icons Compared the functionality of two already existing market GPS navigation systems World Navigator by Teletype GPS Destinator Personal Navigation System by RACO Industries Investigate how user-friendly and intuitive each interface is
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Study performed Pocket PC Compaq Ipaq hardware with Destinator software HP Jornada hardware with Teletype software
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Study performed Results analyzed Interview with subject while viewing each video recording Targeted Questions Event Tables From the videos, each event was logged systematically (begin & end time) PERT diagrams From videos and Event Tables the following were derived 3 diagrams to describe general case behaviors 2 diagrams to describe multi-tasking Pocket PC evaluation
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Study performed Event table example
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Study performed Event Tables Summary Main difference in subjects “Event-driven” Interested in starting to perform the task Once there was an event, the user adjusted their plan to solve the task “Plan-driven” Developing a strategy for each task through map dragging Having an understanding how they are positioned on the map relative to the environment
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Study performed PERT diagram example
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Study performed PERT diagrams summary 3 possible answers why users perform tasks sequentially vs. Multi-tasking The user may find it too hard to perform the actions with the system The user finds the task so demanding cognitively that the user must focus on one behavior at a time in order to manage the demands The user needs further information from the system before it makes sense to move forward.
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Study performed Pocket PC summary How the menus should appear and work (4 Usability principles; Dix, et al., 1997) Familiarity Generalizability Predictability Task Migratability General comments regarding problems encountered while walking
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Outline Introduction Mobile eye tracker Study performed of mobile systems with a mobile eye tracker Conclusion What is left to do Acknowledgements
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Conclusion To understand the concepts of multitasking applied to a mobile system There are three basic guidelines Consider possible uses in the environment of the system in combination with various user behaviors Consider including the possibility of extraordinary events occurring with the system Consider situations were the user should not focus their attention on using the system Jameson, A. (2002). User Multitasking as a Design Challenge for Mobile Multimodal Systems. ITRW on Multi-Modal Dialogue in Mobile Environments Kloster Irsee, 17-19 June 2002
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Conclusion Eye tracking can provide additional valuable information to a well designed usability study in various structured environments leading to important usability discoveries regarding a given mobile system Despite its limitations User interfaces – PocketPC Navigation Software Identifies the complexity of user Multi-tasking while using a mobile system
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Conclusion What is left to do Find the link to Multi-modal systems Struck from thesis title Multi-tasking?
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Conclusion Acknowledgements Thank you to everyone, it would not have been possible without you. Prof. Dr. Anthony Jameson, DFKI GmbH (German Research Center for Artificial Intelligence) Prof. Dr. Karl Rohr, International University in Germany Kerstin Klöckner, DFKI GmbH, Researcher The department of computer science, Saarbrücken University. Christoph Stahl, Rainer Wasinger, and Christian Müller
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