Eyes on OSH – Usability Testing with Eye-Tracking and User Preference Rating

2013 ◽  
pp. 323-334 ◽  
Author(s):  
Norfarhana Abdollah ◽  
Soo Shi Tzuaan ◽  
Ashok Sivaji
Keyword(s):  
Eye Tracking ◽  
Usability Testing ◽  
User Preference ◽  
Preference Rating

scholarly journals A Collaborative Filtering Algorithm with Intragroup Divergence for POI Group Recommendation

2021 ◽  
Vol 11 (12) ◽  
pp. 5416
Author(s):  
Yanheng Liu ◽  
Minghao Yin ◽  
Xu Zhou
Keyword(s):  
Collaborative Filtering ◽  
User Preference ◽  
Computation Method ◽  
Group Recommendation ◽  
Preference Rating ◽  
Filtering Method ◽  
Personal Recommendation ◽  
Collaborative Filtering Algorithm ◽  
Group Members ◽  
Individual Recommendation

The purpose of POI group recommendation is to generate a recommendation list of locations for a group of users. Most of the current studies first conduct personal recommendation and then use recommendation strategies to integrate individual recommendation results. Few studies consider the divergence of groups. To improve the precision of recommendations, we propose a POI group recommendation method based on collaborative filtering with intragroup divergence in this paper. Firstly, user preference vector is constructed based on the preference of the user on time and category. Furthermore, a computation method similar to TF-IDF is presented to compute the degree of preference of the user to the category. Secondly, we establish a group feature preference model, and the similarity of the group and other users’ feature preference is obtained based on the check-ins. Thirdly, the intragroup divergence of POIs is measured according to the POI preference of group members and their friends. Finally, the preference rating of the group for each location is calculated based on a collaborative filtering method and intragroup divergence computation, and the top-ranked score of locations are the recommendation results for the group. Experiments have been conducted on two LBSN datasets, and the experimental results on precision and recall show that the performance of the proposed method is superior to other methods.

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.

Proposed Techniques for Data Collection and Analysis in the Study of News-Oriented Virtual Communities

2011 ◽  
pp. 568-584 ◽  
Author(s):  
William J. Gibbs ◽  
Joseph E. McKendrick
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Eye Tracking ◽  
Human Behavior ◽  
Information Seeking ◽  
Virtual Communities ◽  
Usability Testing ◽  
Analysis Techniques ◽  
Data Collection And Analysis ◽  
Area Of Study

News providers today offer interactive sources that engage people, enable them to build community, and to participate in the news. At the same time, the digital interfaces through which people access the news are continuingly evolving, diverse, and oftentimes visually complex. How these factors shape human information seeking in news-oriented virtual communities is a relatively new area of study and therefore greater understanding of their influence on human behavior is of much practical value. In this chapter, the authors explore trends and developments in news-oriented virtual communities. They review several data collection and analysis techniques such as content analysis, usability testing and eye-tracking and propose that these techniques and associated tools can aid the study of news communities. They examine the implications these techniques have for better understanding human behavior in virtual communities as well as for improving the design of these environments.

A Process for Usability Testing of Lifesaving Equipment

2016 ◽  
Vol 60 (1) ◽  
pp. 1093-1097
Author(s):  
William Porter ◽  
Carin Kosmoski ◽  
Rohan Fernando
Keyword(s):  
System Performance ◽  
Usability Testing ◽  
Ease Of Use ◽  
User Preference ◽  
Complex Environment ◽  
Usability Assessment ◽  
Breathing Apparatus ◽  
Time Requirements ◽  
Research Questions

Usability for any product, and especially for a lifesaving device, is critical in that the users will be interacting with the device in a highly stressful and complex environment. This study examined self- contained breathing apparatus (SCBAs) and conducted a usability assessment of these SCBAs with refill stations as it pertains to mine escape. Data was collected examining three usability topic areas (effectiveness, efficiency, and satisfaction) and eight constructs within these topic areas (completeness, accuracy, time requirements, overall satisfaction, discomfort, ease of use, system performance, and user preference). This paper documents the usability framework adopted and the methodology used to answer the research questions of the study and includes sample results and discussion. The methodology presented can be modified and used to test other lifesaving technologies to compare the usability of the devices and to estimate the ability of the devices to function as expected in a lifesaving situation.

QUEST e-learning portal: applying heuristic evaluation, usability testing and eye tracking

2020 ◽  
Author(s):  
Baqar Ali Zardari ◽  
Zahid Hussain ◽  
Aijaz Ahmed Arain ◽  
Wajid H. Rizvi ◽  
Muhammad Saleem Vighio
Keyword(s):  
Eye Tracking ◽  
Usability Testing ◽  
Heuristic Evaluation ◽  
E Learning ◽  
Learning Portal

Usability testing for a community college library website

2019 ◽  
Vol 36 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Alyssa M. Valenti
Keyword(s):  
Web Design ◽  
Usability Testing ◽  
User Preferences ◽  
User Preference ◽  
Full Time ◽  
Content Type ◽  
Usability Tests ◽  
User Groups ◽  
Testing Case ◽  
First Time

Purpose This paper details a usability testing case study on a simplified homepage for [Library]. The usability testing was completed in Spring 2017 to meet the needs of diverse user groups and shifting trends in Web design and development. At the conclusion of the usability testing, recommendations for change informed the design decisions and a new homepage was implemented in October 2018. Design/methodology/approach The researcher performed eight usability tests with a combination of the different library user types; full-time faculty, students, an administrator and members of the public. The usability test consisted of 13 specific tasks. After testers completed the tasks, users filled out a 30-question Likert-scale questionnaire and answered a set of 8 open-ended questions. Findings This paper discusses the recommendations for change which the researcher discovered at the conclusion of the usability testing period. The research found the need to improve and include specific navigational, visual and easy-to-use elements to best meet the needs of the users in the usability tests. Changes were ranked and implemented on a scale of catastrophic to cosmetic. Research limitations/implications As websites, technology and user preferences continually evolve, the homepage will need to be tested for usability again in the next several years. Researchers are encouraged to adapt the methods to their own institutions. Practical implications This paper discusses findings specific to [Library], which in turn has proved to increase usage of certain features and functions by the user community. Originality/value This is the first time usability testing has been done for the [Library’s] website. It was the first time the design of the homepage was informed by real user preference. This paper is valuable to those looking to create a simple, easy-to-use homepage that best benefits their own unique community of users.

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.

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