scholarly journals Numerical Analysis on Color Preference and Visual Comfort from Eye Tracking Technique

2015 ◽  
Vol 2015 ◽  
pp. 1-4
Author(s):  
Ming-Chung Ho ◽  
Jhih-Ming Chen ◽  
Ray-Ying Huang ◽  
Ming-Hsun Shen ◽  
Ming-Chi Lu ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Eye Movement ◽  
Color Preference ◽  
Future Research ◽  
Subjective Feeling ◽  
Visual Comfort ◽  
Color Preferences ◽  
Physiological Indicators ◽  
Movement Data ◽  
Color Assignment

Color preferences in engineering are very important, and there exists relationship between color preference and visual comfort. In this study, there are thirty university students who participated in the experiment, supplemented by pre- and posttest questionnaires, which lasted about an hour. The main purpose of this study is to explore the visual effects of different color assignment with subjective color preferences via eye tracking technology. Eye-movement data through a nonlinear analysis detect slight differences in color preferences and visual comfort, suggesting effective physiological indicators as extensive future research discussed. Results found that the average pupil size of eye-movement indicators can effectively reflect the differences of color preferences and visual comfort. This study more confirmed that the subjective feeling will make people have misjudgment.

scholarly journals Eye on Music Reading: A Methodological Review of Studies from 1994 to 2017

2018 ◽  
Vol 11 (2) ◽  
Author(s):  
Marjaana Puurtinen
Keyword(s):  
Eye Tracking ◽  
Eye Movement ◽  
Future Research ◽  
New Work ◽  
Music Reading ◽  
Methodological Review ◽  
Methodological Choices ◽  
Movement Data ◽  
Research Questions ◽  
Methodological Aspects

In this review, we focus on the methodological aspects of eye-tracking research in the domain of music, published and/or available between 1994 and 2017, and we identify potentially fruitful next steps to increase coherence and systematicity within this emerging field. We review and discuss choices of musical stimuli, the conditions under which these were performed (i.e. control of performance tempo and music-reading protocols), performer’s level of musical expertise, and handling of performance errors and eye-movement data. We propose that despite a lack of methodological coherence in research to date, careful reflection on earlier methodological choices can help in formulating future research questions and in positioning new work. These steps would represent progress towards a cumulative research tradition, where joint understanding is built by systematic and consistent use of stimuli, research settings and methods of analysis.

scholarly journals Automated Filtering of Eye Movements Using Dynamic AOI in Multiple Granularity Levels

2021 ◽  
Vol 12 (1) ◽  
pp. 49-64
Author(s):  
Gavindya Jayawardena ◽  
Sampath Jayarathna
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Eye Gaze ◽  
Movement Analysis ◽  
Movement Data ◽  
Bounding Boxes ◽  
Multiple Granularity ◽  
Instance Segmentation ◽  
Segmentation Models

Eye-tracking experiments involve areas of interest (AOIs) for the analysis of eye gaze data. While there are tools to delineate AOIs to extract eye movement data, they may require users to manually draw boundaries of AOIs on eye tracking stimuli or use markers to define AOIs. This paper introduces two novel techniques to dynamically filter eye movement data from AOIs for the analysis of eye metrics from multiple levels of granularity. The authors incorporate pre-trained object detectors and object instance segmentation models for offline detection of dynamic AOIs in video streams. This research presents the implementation and evaluation of object detectors and object instance segmentation models to find the best model to be integrated in a real-time eye movement analysis pipeline. The authors filter gaze data that falls within the polygonal boundaries of detected dynamic AOIs and apply object detector to find bounding-boxes in a public dataset. The results indicate that the dynamic AOIs generated by object detectors capture 60% of eye movements & object instance segmentation models capture 30% of eye movements.

Using Eye Movements to Study Reading Processes

2017 ◽  
pp. 27-47 ◽  
Author(s):  
Anne E. Cook ◽  
Wei Wei
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Future Research ◽  
Reading Processes ◽  
Reading Measures ◽  
Set Up ◽  
Eye Movements During Reading

This chapter provides an overview of eye movement-based reading measures and the types of inferences that may be drawn from each. We provide logistical advice about how to set up stimuli for eye tracking experiments, with different level processes (word, sentence, and discourse) and commonly employed measures of eye movements during reading in mind. We conclude with examples from our own research of studies of eye movements during reading at the word, sentence, and discourse levels, as well as some considerations for future research.

Observing Individuals Viewing Art

2016 ◽  
Vol 35 (2) ◽  
pp. 194-213
Author(s):  
Andreja Bubić ◽  
Ana Sušac ◽  
Marijan Palmović
Keyword(s):  
Eye Tracking ◽  
Eye Movement ◽  
Behavioral Data ◽  
Movement Data ◽  
Significant Interest ◽  
General Preference

Understanding the mechanisms underlying the perception of artworks is of significant interest in experimental esthetics. Therefore, in this study, we utilized eye-tracking for investigating how participants familiar and unfamiliar with paintings’ titles viewed Kandinsky’s abstract and figural artworks. The analysis of behavioral data indicated that knowledge of the title increased participants’ liking of the presented paintings and demonstrated a general preference for figural over abstract paintings. Next, we focused the analysis of eye-movement data on areas of the paintings that depict themes associated with their titles. The results demonstrated that participants familiar with the titles viewed these longer and visited them earlier compared with those unfamiliar with paintings’ titles. Furthermore, all participants viewed these areas within figural paintings longer and returned to them more often than within abstract paintings. These findings extend previous results by indicating how presenting short titles influences participants’ viewing of abstract and figural artworks.

scholarly journals Eye-movements can help disentangle mechanisms underlying disfluency

2020 ◽  
Author(s):  
Aurélie Pistono ◽  
Robert Hartsuiker
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Lexical Selection ◽  
Self Monitoring ◽  
Speech Encoding ◽  
Movement Data ◽  
Multivariate Pattern

To reveal the underlying cause of disfluency, several authors related the pattern of disfluencies to difficulties at specific levels of production, using a Network Task. However, disfluencies are arguably multifactorial. To disentangle disfluency related to word preparation from other factors, we combined this task with eye-tracking. We manipulated lexical and grammatical selection difficulty. In Experiment 1, lines connecting the pictures varied in length. Experiment 2 only used short lines. In both experiments, lexical selection difficulty promoted self- corrections and pauses and longer viewing times. Multivariate pattern analyses (MVPA) demonstrated that lexical selection difficulty is predictable from disfluency and eye-movement data patterns. In Experiment 1, participants spent less time gazing at pictures preceded by long lines, while producing more pauses. This suggests they used a strategy to inspect other areas than the upcoming picture. We conclude that eye-tracking is informative about mechanisms underlying disfluency related to speech encoding, self-monitoring, and stalling strategies.

scholarly journals The Fusion of Eye Movement and Piezoelectric Sensing Technology Assists Ceramic Art Process Optimization and Mechanical Characterization

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiaoying Li ◽  
Yanglin Zhou ◽  
Yanling He
Keyword(s):  
Eye Tracking ◽  
Eye Movement ◽  
Evaluation Method ◽  
Ceramic Product ◽  
Objective Data ◽  
Product Modeling ◽  
Movement Data ◽  
Data Support ◽  
The Impact ◽  
Product Industry

Ceramic product shape evaluation is an important part of product development, an important method to optimize product shape design, and is of great significance to reasonably locate users’ consumption psychology and promote the development of ceramic product industry. In this paper, we propose an eye-tracking-based evaluation method for ceramic products from the user’s point of view, in view of the fact that there are few studies on ceramic product shape evaluation, and it is mainly led by designers and enterprise leaders subjectively, with low user participation and lack of objective evaluation means and objective data support. In this paper, through the implementation of eye-movement experiments, we obtain and analyze the eye-movement data related to the semantic perception evaluation of product modeling and the overall evaluation of modeling, establish the mapping relationship between user evaluation and eye-movement data, and provide objective data support for modeling evaluation. This paper provides an objective data support for the styling evaluation. This paper provides new ideas for the ceramic product modeling evaluation method, which helps to promote the development of ceramic product industry, improve the brand recognition of enterprises, and help the marketing personnel to make reasonable marketing planning plans. For the semantic perceptual evaluation of ceramic product styling based on eye-tracking, the effectiveness of product styling design concept communication is evaluated. Ceramic products are constantly changing and developing, with new shapes appearing and old shapes being eliminated. Continual innovation and development of ceramics based on inherited traditions can give them a new look and color under the existing modeling style. Compared with other categories, although ceramic modeling has relatively abstract formal characteristics, but it is the extension of the modeling, still has obvious morphological characteristics, and the impact on people’s aesthetic mood.

A technical introduction to using speakers’ eye movements to study language

2011 ◽  
Vol 6 (1) ◽  
pp. 53-82 ◽  
Author(s):  
Zenzi M. Griffin ◽  
Jordan C. Davison
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Language Production ◽  
Movement Data ◽  
History Of ◽  
Production Research ◽  
Software And Hardware ◽  
The Relationship ◽  
Movement Monitoring

Everything you wanted to know about eye movement monitoring but were afraid to ask: This is a primer for researchers new to the use of eye-tracking and particularly those with an interest in language production. It summarizes the early history of eye movement monitoring in language production research, briefly reviews the relationship between visual attention and eye movements, and details the practical concerns of collecting and analyzing gaze data. In particular, the paper discusses the features and functions of available eye-tracking software and hardware systems, as well as tools for automatically processing speech. We close with a review of dependent measures that have been derived from eye movement data as well as how they were used and interpreted.

Modeling and inferring human trust in automation based on real- time eye tracking data

2020 ◽  
Vol 64 (1) ◽  
pp. 344-348
Author(s):  
Yidu Lu ◽  
Nadine Sarter
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Eye Movement ◽  
Detection System ◽  
Physiological Data ◽  
Human Machine Interaction ◽  
Individual Level ◽  
Vehicle Simulation ◽  
Movement Data ◽  
Aerial Vehicle

Trust miscalibration remains a major challenge for human-machine interaction. It can lead to misuse or disuse of automated systems. To date, most trust research has relied on subjective ratings and behavioral or physiological data to assess trust. Those trust measurements are discrete, disruptive and quite difficult to implement. To better understand the process of trust calibration, we propose eye tracking as an unobtrusive method for inferring trust levels in real time. Using an Unmanned Aerial Vehicle simulation, participants were exposed to varying levels of reliability of an automated target detection system. Eye movement data were captured and labeled as high or low trust based on subjective trust ratings. Feature extraction and raw eye movement data were compared as input for multiple classification modeling methods. Accuracy rates of 92% and 80%, respectively, were achieved with individual-level and group-level modeling, suggesting that eye tracking is a promising technique for tracing trust levels.

scholarly journals Experimental Study of Demotivators and Memes Perception Complexity

2021 ◽  
pp. 74-86
Author(s):  
Aleksandra Gorbacheva ◽  
Alexandra Berlin Khenis ◽  
Alexandra Puchkova ◽  
Mikhail Osadchiy
Keyword(s):  
Experimental Study ◽  
Pilot Study ◽  
Data Processing ◽  
Eye Tracking ◽  
Eye Movement ◽  
Quantitative Data ◽  
Semantic Content ◽  
Reliable Data ◽  
Multimodal Texts ◽  
Movement Data

The article presents the results of a pilot study of the perception of the demotivator and meme genres. It was a part of an experimental study of psychophysiological and psycholinguistic features of perception and understanding of multimodal extremist texts. The aim of the study is to develop and test the hypothesis about the influence of genre on perception of multimodal texts. To test the hypothesis, we analyze the respondents' eye movement data from the main experimental study (n = 60; 31 forensic linguists with anti-extremism practice, 29 non-experts). Research methods were eye-tracking and quantitative data processing. The following statistically reliable data were obtained: compared to memes, respondents looked at demotivators (1) for a longer time, made (2) shorter fixations, (3) with more of them, and also made (4) faster and (5) shorter saccades. These parameters may indicate a denser scanning pattern of viewing demotivators compared to memes and greater cognitive expenditure in assessing the semantic content of demotivator texts. The results of the study suggest a connection between genre and the degree of multimodal texts perception complexity. This provides an opportunity for further research in this direction and, in the future, will enable the development of norms of cognitive load of judicial linguists who analyse multimodal extremist texts.

scholarly journals Dog eye movements are slower than human eye movements

2020 ◽  
Vol 12 (8) ◽  
Author(s):  
Soon Young Park ◽  
Catarina Espanca Bacelar ◽  
Kenneth Holmqvist
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Animal Species ◽  
Tracking System ◽  
Canis Lupus Familiaris ◽  
Movement Data ◽  
Cognitive Studies ◽  
Systematic Relationships ◽  
Human Eye Movements

Eye movement of a species reflects the visual behavior strategy that it has adapted to during its evolution. What are eye movements of domestic dogs (Canis lupus familiaris) like? Investigations of dog eye movements per se have not been done, despite the increasing number of visuo-cognitive studies in dogs using eye-tracking systems. To fill this gap, we have recorded dog eye movements using a video-based eye-tracking system, and compared the dog data to that of humans. We found dog saccades follow the systematic relationships between saccade metrics previously shown in humans and other animal species. Yet, the details of the relationships, and the quantities of each metric of dog saccades and fixations differed from those of humans. Overall, dog saccades were slower and fixations were longer than those of humans. We hope our findings contribute to existing comparative analyses of eye movement across animal species, and also to improvement of algorithms used for classifying eye movement data of dogs.

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