scholarly journals THE USE OF EYE TRACKING TO ASSESS THE USABILITY OF UNIVERSITY WEBSITE

2015 ◽  
Vol 3 ◽  
pp. 482-486 ◽  
Author(s):  
Terézia Kvasnicová ◽  
Iveta Kremeňová
Keyword(s):  
Eye Tracking ◽  
Usability Testing ◽  
Communication Tool ◽  
Testing Methods ◽  
Universities And Colleges ◽  
Usability Problems ◽  
Scan Path

Websites, nowadays, are used not only as a sales method and information tool, but also as a communication tool. Almost every company has a website. Universities and colleges understand their strength, too. In this article, we describe theory of usability of university website and one of the usability testing methods—eye tracking. We use eye tracking to assess the usability of University of Žilina website. We present and use different analysis: Scan Path and Focus map. We identify many usability problems whose removal will help to create new pages and, thus, increasing their effectiveness.

Simplified Eye Tracking Enhances Problem Understanding and Solution Discovery in Usability Testing

2005 ◽  
Vol 49 (24) ◽  
pp. 2090-2094 ◽  
Author(s):  
Evelyn P. Rozanski ◽  
Keith S. Karn ◽  
Anne R. Haake ◽  
Anthony M. Vigliotti ◽  
Jeff B. Pelz
Keyword(s):  
User Interface ◽  
Eye Tracking ◽  
Tracking System ◽  
Deep Understanding ◽  
Usability Testing ◽  
Testing Methods ◽  
The Past ◽  
Usability Problems ◽  
Testing Techniques ◽  
Areas Of Interest

Identifying problems and generating recommendations for product user interface redesign are primary goals of usability testing. Typical methods seem inadequate for the deep understanding of usability problems needed for developing effective solutions. Sporadically over the past 50 years, usability teams have tracked user eye movements to achieve this deeper understanding, but high cost and complexity have prevented the widespread use of this technology. We investigated whether simplified eye tracking techniques, in combination with traditional usability testing methods, could enhance problem discovery and understanding. These techniques included: using a video-based eye tracking system, tracking only a few participants, and encoding gaze durations (not individual fixations) on only a few areas of interest. For each of three interface versions, we studied twelve participants with traditional usability testing techniques and eye tracked just two. Eye tracking yielded discovery of additional usability problems and detailed characterizations which led to more focused and appropriate solutions.

Usability Testing of an Interactive Online Movie Download Service

2013 ◽  
Vol 5 (4) ◽  
pp. 48-71
Author(s):  
Ashok Darisipudi ◽  
Sushil K. Sharma ◽  
Jeff Zhang ◽  
Tom Harris ◽  
Sheila Smith
Keyword(s):  
Eye Tracking ◽  
Interface Design ◽  
Large Population ◽  
Usability Testing ◽  
Daily Activities ◽  
Software Application ◽  
Usability Problems ◽  
Personal Experiences ◽  
Rich Information ◽  
Subscription Service

The Human-Computer Interaction (HCI) is gaining momentum as more and more people increasingly are using technology tools and devises for their daily activities. Users expect highly effective and easy-to-learn interfaces and developers and designers now realize the crucial role the users' interface plays. HCI and System Usability design have greater significance in media use as the usability problems can adversely affect the large population of users depending on the overall usability of system design and the user interface design. This study is conducted to get rich and detailed feedback of users' personal experiences and usability of a new movie download software application and subscription service. This is achieved by a different approach of using eye-tracking methodology in conjunction with usability software for usability testing. Study gave rich information of quantitative data from eye-tracking and usability software for better analysis of the product.

An Empirical Study of Usability Testing: Heuristic Evaluation Vs. User Testing

2002 ◽  
Vol 46 (8) ◽  
pp. 774-778 ◽  
Author(s):  
Enlie Wang ◽  
Barrett Caldwell
Keyword(s):  
Cost Benefit Analysis ◽  
Low Cost ◽  
Cost Benefit ◽  
Usability Testing ◽  
Heuristic Evaluation ◽  
Benefit Analysis ◽  
User Testing ◽  
Testing Methods ◽  
Usability Problems ◽  
Wide Range

In this study, two different usability-testing methods (Heuristic Evaluation and User Testing) were selected to test the usability of a pre-release version of software searching for Science, Mathematics and Engineering education materials. Our major goal is to compare Heuristic Evaluation and User Testing in terms of efficiency, effectiveness and cost/benefit analysis. We found that Heuristic Evaluation was more efficient than User Testing in finding usability problems (41 vs. 10), while User Testing was more effective than Heuristic Evaluation in finding major problems (70% vs.12%). in general, Heuristic Evaluation appears to be more economic in finding a wide range of usability problems by incurring a low cost in comparison to User Testing. However, User Testing can provide more insightful data from real users such as user's performance and satisfaction.

scholarly journals Techniques Used for Eye Gaze Interfaces and Survey

2015 ◽  
Vol 1 (6) ◽  
pp. 276
Author(s):  
Maria Rashid ◽  
Wardah Mehmood ◽  
Aliya Ashraf
Keyword(s):  
Eye Tracking ◽  
Eye Gaze ◽  
3D Models ◽  
Image Process ◽  
Usability Problems ◽  
Software Algorithms ◽  
Pupil Detection ◽  
Eye Movement Tracking ◽  
2D And 3D ◽  
Movement Tracking

Eye movement tracking is a method that is now-a-days used for checking the usability problems in the contexts of Human Computer Interaction (HCI). Firstly we present eye tracking technology and key elements.We tend to evaluate the behavior of the use when they are using the interace of eye gaze. Used different techniques i.e. electro-oculography, infrared oculography, video oculography, image process techniques, scrolling techniques, different models, probable approaches i.e. shape based approach, appearance based methods, 2D and 3D models based approach and different software algorithms for pupil detection etc. We have tried to compare the surveys based on their geometric properties and reportable accuracies and eventually we conclude this study by giving some prediction regarding future eye-gaze. We point out some techniques by using various eyes properties comprising nature, appearance and gesture or some combination for eye tracking and detection. Result displays eye-gaze technique is faster and better approach for selection than a mouse selection. Rate of error for all the matters determines that there have been no errors once choosing from main menus with eye mark and with mouse. But there have been a chance of errors when once choosing from sub menus in case of eye mark. So, maintain head constantly in front of eye gaze monitor.

scholarly journals Estimating the number of usability problems affecting medical devices: modelling the discovery matrix

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Vincent Vandewalle ◽  
Alexandre Caron ◽  
Coralie Delettrez ◽  
Renaud Périchon ◽  
Sylvia Pelayo ◽  
...  
Keyword(s):  
Medical Devices ◽  
Market Access ◽  
Real Life ◽  
Usability Testing ◽  
Probability Of Detection ◽  
Usability Problems ◽  
Usability Problem ◽  
Wide Range ◽  
The Matrix ◽  
Problem Detection

Abstract Background Usability testing of medical devices are mandatory for market access. The testings’ goal is to identify usability problems that could cause harm to the user or limit the device’s effectiveness. In practice, human factor engineers study participants under actual conditions of use and list the problems encountered. This results in a binary discovery matrix in which each row corresponds to a participant, and each column corresponds to a usability problem. One of the main challenges in usability testing is estimating the total number of problems, in order to assess the completeness of the discovery process. Today’s margin-based methods fit the column sums to a binomial model of problem detection. However, the discovery matrix actually observed is truncated because of undiscovered problems, which corresponds to fitting the marginal sums without the zeros. Margin-based methods fail to overcome the bias related to truncation of the matrix. The objective of the present study was to develop and test a matrix-based method for estimating the total number of usability problems. Methods The matrix-based model was based on the full discovery matrix (including unobserved columns) and not solely on a summary of the data (e.g. the margins). This model also circumvents a drawback of margin-based methods by simultaneously estimating the model’s parameters and the total number of problems. Furthermore, the matrix-based method takes account of a heterogeneous probability of detection, which reflects a real-life setting. As suggested in the usability literature, we assumed that the probability of detection had a logit-normal distribution. Results We assessed the matrix-based method’s performance in a range of settings reflecting real-life usability testing and with heterogeneous probabilities of problem detection. In our simulations, the matrix-based method improved the estimation of the number of problems (in terms of bias, consistency, and coverage probability) in a wide range of settings. We also applied our method to five real datasets from usability testing. Conclusions Estimation models (and particularly matrix-based models) are of value in estimating and monitoring the detection process during usability testing. Matrix-based models have a solid mathematical grounding and, with a view to facilitating the decision-making process for both regulators and device manufacturers, should be incorporated into current standards.

Integrating Semiotics Perception in Usability Testing to Improve Usability Evaluation

2013 ◽  
pp. 145-169 ◽  
Author(s):  
Muhammad Nazrul Islam ◽  
Franck Tétard
Keyword(s):  
User Interfaces ◽  
Usability Testing ◽  
End Users ◽  
Usability Evaluation ◽  
Computer Applications ◽  
Computer Application ◽  
Semiotic Analysis ◽  
Usability Problems ◽  
Intuitive Interface ◽  
Methodological Guidelines

User interfaces of computer applications encompass a number of objects such as navigation links, buttons, icons, and thumbnails. In this chapter, these are called interface signs. The content and functions of a computer application are generally directed by interface signs to provide the system’s logic to the end users. The interface signs of a usable application need to be intuitive to end users and therefore a necessary part of usability evaluation. Assessing sign intuitiveness can be achieved through a semiotic analysis. This study demonstrates how a semiotic assessment of interface signs’ intuitiveness yielded a number of benefits. For instance, (i) it provides an overall idea of interface signs’ intuitiveness to the end users to interpret the meaning of interface signs, (ii) it assists in finding usability problems and also in (iii) recommending possible solutions, (iv) provides background for introducing guidelines to design user-intuitive interface signs, (v) helps in constructing heuristic checklist from semiotics perspective to evaluate an application, (vi) no additional resource and extra budget are needed. This study also presents a list of methodological guidelines to obtain the perceived benefits of integrating semiotic perception in usability testing for practitioners.

Incorporating Usability Testing into the Development of Healthcare Technologies

2014 ◽  
pp. 32-47
Author(s):  
Shilo H. Anders ◽  
Judith W. Dexheimer
Keyword(s):  
Mobile Devices ◽  
Usability Testing ◽  
Mobile Technologies ◽  
Mobile Platform ◽  
Testing Methods ◽  
Mobile Healthcare ◽  
Desktop Computing ◽  
Healthcare Technologies ◽  
Future Work ◽  
User Centered

The use of mobile devices in healthcare is increasing in prevalence and poses different constraints for use than traditional desktop computing. This chapter introduces several usability testing methods that are appropriate for use when designing and developing mobile technologies. Approaching the development of mobile technologies through a user-centered approach is critical to improve the interaction and use of the hardware and software that is implemented on a mobile platform in healthcare. User-centered design adds value by getting feedback about functionality, design, and constraints that need to be built into the system prior to its completion. Future work in this domain will require further tailoring and use of novel usability methods to evaluate and improve the design of mobile healthcare technologies.

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