Eye Gaze and Mouse Cursor Relationship in a Debugging Task

Chen, Monchu; Lim, Veraneka

doi:10.1007/978-3-642-39473-7_93

Cited by 11 publications

(3 citation statements)

References 10 publications

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“…Further works showed that eye-mouse coordination [13] and gaze position [18] could be predicted to some extent by mouse movements, also in the context of non-linear layout SERPs [25]. Outside the search domain, [5] showed in a debugging task that mouse cursor behaviour was a significant indication of the level of difficulty and performance, and the observed cursor patterns were found comparable with the gaze patterns. These works demonstrate that gaze can be approximated with relative accuracy by mouse movements.…”

Section: Related Workmentioning

confidence: 99%

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

Arapakis

Lalmas

Valkanas

2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

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The availability of large volumes of interaction data and scalable data mining techniques have made possible to study the online behaviour for millions of Web users. Part of the efforts have focused on understanding how users interact and engage with web content. However, the measurement of within-content engagement remains a difficult and unsolved task. This is because of the lack of standardised, wellvalidated methods for measuring engagement, especially in an online context. To address this gap, we perform a controlled user study where we observe how users respond to online news in the presence or lack of interest. We collect mouse tracking data, which are known to correlate with visual attention, and examine how cursor behaviour can inform user engagement measures. The proposed method does not use any pre-determined concepts to characterise the cursor patterns. We, rather, follow an unsupervised approach and use a large set of features engineered from our data to extract the cursor patterns. Our findings support the connection between gaze and cursor behaviour but also, and more importantly, reveal other dependencies, such as the correlation between cursor activity and experienced affect. Finally, we demonstrate the value of our method by predicting the outcome of online news reading experiences.

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Section: Related Workmentioning

confidence: 99%

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

Arapakis

Lalmas

Valkanas

2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

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“…It is shown in Figure 5 that majority of the source code used during the experiment were written in Java programming language. While 24 papers (38 %) used Java alone as a main stimulus, 3 other papers used Java alongside other stimuli such as [CL13] which used Java with C# and [BSB11] and [BBB+15] which used Java with natural language text (NLT). The experiment done by [BBB+15] to compare Jave and NLT reading was later replicated in [PIS17], but replacing Java with C++.…”

Section: [Rq3:] What Programming Materials Were Used As Stimulus In Ementioning

confidence: 99%

A Survey on the Usage of Eye-Tracking in Computer Programming

2018

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Traditional quantitative research methods of data collection in programming, such as questionnaires and interviews, are the most common approaches for researchers in this field. However, in recent years, eye-tracking has been on the rise as a new method of collecting evidence of visual attention and the cognitive process of programmers. Eyetracking has been used by researchers in the field of programming to analyze and understand a variety of tasks such as comprehension and debugging. In this paper, we will focus on reporting how experiments that used eye-trackers in programming research are conducted, and the information that can be collected from these experiments. In this mapping study, we identify and report on 63 studies, published between 1990 and June 2017, collected and gathered via manual search on digital libraries and databases related to computer science and computer engineering. Among the five main areas of research interest are program comprehension and debugging, which received an increased interest in recent years, non-code comprehension, collaborative programming and requirements traceability research, which had the fewest number of publications due to possible limitations of the eye-tracking technology in this type of experiments. We find that most of the participants in these studies were students and faculty members from institutions of higher learning, and while they performed programming tasks on a range of programming languages and programming representations, we find Java language and UML representation to be the most used materials. We also report on a range of eye-trackers and attention tracking tools that have been utilized, and find Tobii eye-trackers to be the most used devices by researchers.

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“…Tüm bunlar düşünüldüğünde kod senaryolarının içerilerinde barındırdıkları hataların özellikleri ve sayıları farklılaştıkça hata ayıklama performansları üzerinde etkileşim etkisi yaratması muhtemeldir. Yapılan bu çalışmaların katılımcıları genellikle üniversite öğrencileri olup, öğretmenler, öğretim üyeleri, mezun öğrenciler ve bilişim teknolojileri çalışanları da katılım göstermişlerdir (Bednarik, 2012;Chen & Lim, 2013;Grigoreanu ve diğerleri, 2009;Romero ve diğerleri, 2007;Yen ve diğerleri, 2012). Ayrıca araştırmalarda hata ayıklama performanslarını değerlendirmek adına sunulan kod senaryolarında Java dili kullanıldığından dolayı (Bednarik, 2012;Fitzgerald ve diğerleri, 2008;Romero ve diğerleri, 2007) Türkiye'deki mesleki ve teknik liseleri Bilişim Teknolojileri öğrencileri için uygun olmadığı düşünülebilir.…”

Section: Introductionunclassified

Hata Ayıklama Performansı Testi Geliştirme: Geçerlik ve Güvenirlik Çalışması

Altun

Akçay

2021

Erzincan Üniversitesi Eğitim Fakültesi Dergisi

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Programming is to produce computer-based solutions for a problem by situation analysis, algorithm and program design, implementation, testing and debugging. It is usual situation that encounter bugs in the programming process. The process of resolving the bugs and making the generated program codes free of bugs is called debugging. Debugging requires deeper knowledge than writing new code. Debugging is a skill that programmers must acquire, like good coding and write efficient code. In the literature, there is a lack of a valid and reliable measurement tool for the evaluation of debugging performances. In this study, it is aimed to develop an achievement test in order to evaluate the debugging performance of students studying in the Information Technologies departments of vocational high schools. During development of the test, the purpose of the test, the bugs encountered and their scope were determined, related literature reviewed, the test consisting of 27 code scenarios was created and expert opinion was obtained to ensure content validity. After expert opinions and pre-pilot implementation, 18 code scenarios were determined for pilot implementation. 148 students from different vocational and technical high schools in the Information Technology Department participated in the pilot implementation of the test. According to the analysis carried out for the test and the items, the necessary items were removed. As a result, the item difficulty indexes are between .30 and .49, the item discrimination indexes are between .39 and .69, and the item reliability indexes are between .20 and .33 in the test. Also, the KR-20 reliability index of test is .575. Therefore, it can be said that The Debugging Performance Test is valid and reliable.

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Eye Gaze and Mouse Cursor Relationship in a Debugging Task

Cited by 11 publications

References 10 publications

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures

A Survey on the Usage of Eye-Tracking in Computer Programming

Hata Ayıklama Performansı Testi Geliştirme: Geçerlik ve Güvenirlik Çalışması

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