Visual Comparison of Eye Movement Patterns

Blascheck, Tanja; Schweizer, Markus; Beck, Fabian; Ertl, Thomas

doi:10.1111/cgf.13170

Cited by 24 publications

(24 citation statements)

References 45 publications

(67 reference statements)

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“…In this paper, we use state-of-the-art visualization techniques to analyze our eye movement data. We compare participants' line viewing behavior using radial transition graphs [6] and parallel scanpaths [7] to inspect the eye movement data over time. The radial transition graphs allow us to investigate the distribution of fixation duration for multiple lines as well as inspect transitions between individual lines in a compact manner.…”

Section: Related Workmentioning

confidence: 99%

“…However, there are not many visualization tools available for eye tracking researchers to use. To bridge this gap, we leverage two visualization techniques namely radial transition graphs [6] and parallel scanpaths [7] introduced in prior work to help us analyze the data from the eye tracking study presented here and show the viability of using visualizations for eye tracking analysis in program comprehension.…”

Section: Introductionmentioning

confidence: 99%

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Visually Analyzing Students' Gaze on C++ Code Snippets

Peterson

Saddler²,

Blascheck³

et al. 2019

2019 IEEE/ACM 6th International Workshop on Eye Movements in Programming (EMIP)

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The paper presents an eye tracking study with 17 students (12 novices, 5 non-novices) reading C++ methods. The novices were students who participated in the study during the last week of their semester learning C++. The non-novices were senior students who had been exposed to programming before. We report on the reading behavior of three C++ methods that use different language constructs. We analyze fixations at the line level of the code using visualizations to derive insights into code reading. Results show that most transitions were made to code lines that are close to the current line read. We observe that a large percentage of the total fixation duration is made on a small number of lines and that related lines are often viewed together in a series of short fixations.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Visually Analyzing Students' Gaze on C++ Code Snippets

Peterson

Saddler²,

Blascheck³

et al. 2019

2019 IEEE/ACM 6th International Workshop on Eye Movements in Programming (EMIP)

Self Cite

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“…We used a quantitative and qualitative approach to analyze the eye movement data. Using the radial transition graph visualization technique [Blascheck et al 2017b] we found that natural language text is read in a more linear fashion and that participants focus more on important parts of source code. We were also able to extract common patterns, analyze different reading behavior, and explore general strategies of participants using the radial transition graph.…”

Section: Discussionmentioning

confidence: 99%

“…Because our study dealt with short code snippets, we did not use the visualization techniques presented above. Instead, we use the radial transition graph [Blascheck et al 2017b] to determine and inspect transition sequences. This technique is available online (http://www.…”

Section: Visualizing Eye Tracking Datamentioning

confidence: 99%

Visually analyzing eye movements on natural language texts and source code snippets

Blascheck

Sharif

2019

Proceedings of the 11th ACM Symposium on Eye Tracking Research &Amp; Applications

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In this paper, we analyze eye movement data of 26 participants using a quantitative and qualitative approach to investigate how people read natural language text in comparison to source code. In particular, we use the radial transition graph visualization to explore strategies of participants during these reading tasks and extract common patterns amongst participants. We illustrate via examples how visualization can play a role at uncovering behavior of people while reading natural language text versus source code. Our results show that the linear reading order of natural text is only partially applicable to source code reading. We found patterns representing a linear order and also patterns that represent reading of the source code in execution order. Participants also focus more on those areas that are important to comprehend core functionality and we found that they skip unimportant constructs such as brackets. CCS CONCEPTS • Human-centered computing → Visual analytics; Interactive systems and tools; Visualization theory, concepts and paradigms.

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“…This section focuses on the work related to doughnut charts and pie charts. These charts have been extensively used in different applications [WZM*16, SWLL13, LCWL14, MMWC17], such as sport analytics [WLS*18], urban informatics [CYW*16, LWL*17], weather forecast [KTB*18], medical and health data analysis [HPvU*18, CWS*17] and user behaviour analysis [BSBE17, WWL*10, CLS*12].…”

Section: Related Workmentioning

confidence: 99%

A Study of the Effect of Doughnut Chart Parameters on Proportion Estimation Accuracy

Cai

Efstathiou

Xie

et al. 2018

Computer Graphics Forum

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Pie and doughnut charts nicely convey the part–whole relationship and they have become the most recognizable chart types for representing proportions in business and data statistics. Many experiments have been carried out to study human perception of the pie chart, while the corresponding aspects of the doughnut chart have seldom been tested, even though the doughnut chart and the pie chart share several similarities. In this paper, we report on a series of experiments in which we explored the effect of a few fundamental design parameters of doughnut charts, and additional visual cues, on the accuracy of such charts for proportion estimates. Since mobile devices are becoming the primary devices for casual reading, we performed all our experiments on such device. Moreover, the screen size of mobile devices is limited and it is therefore important to know how such size constraint affects the proportion accuracy. For this reason, in our first experiment we tested the chart size and we found that it has no significant effect on proportion accuracy. In our second experiment, we focused on the effect of the doughnut chart inner radius and we found that the proportion accuracy is insensitive to the inner radius, except the case of the thinnest doughnut chart. In the third experiment, we studied the effect of visual cues and found that marking the centre of the doughnut chart or adding tick marks at 25% intervals improves the proportion accuracy. Based on the results of the three experiments, we discuss the design of doughnut charts and offer suggestions for improving the accuracy of proportion estimates.

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Visual Comparison of Eye Movement Patterns

Cited by 24 publications

References 45 publications

Visually Analyzing Students' Gaze on C++ Code Snippets

Visually Analyzing Students' Gaze on C++ Code Snippets

Visually analyzing eye movements on natural language texts and source code snippets

A Study of the Effect of Doughnut Chart Parameters on Proportion Estimation Accuracy

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