Academic literature on the topic 'Eye tracking'

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Journal articles on the topic "Eye tracking"

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Wąsikowska, Barbara. "Eye tracking in marketing research." Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica 36 (2015): 177–92. http://dx.doi.org/10.18276/si.2015.36-13.

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Tanenhaus, Michael K., and Michael J. Spivey-Knowlton. "Eye-Tracking." Language and Cognitive Processes 11, no. 6 (December 1996): 583–88. http://dx.doi.org/10.1080/016909696386971.

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Knabl-Schmitz, Patrizia, Mark Cameron, Kyle Wilson, Megan Mulhall, Jeremy Da Cruz, Alexander Robinson, and Nicklas Dahlstrom. "Eye-Tracking." Aviation Psychology and Applied Human Factors 13, no. 1 (March 2023): 47–57. http://dx.doi.org/10.1027/2192-0923/a000240.

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Abstract: Eye-tracking has historically been proposed as a tool to provide insight into pilot performance, although its transition from scientific curiosity to a practical device has been challenging. Advancing technology has recently opened the possibility of deploying eye-tracking measurements for operational use in flight training, thus allowing for improved understanding of pilot monitoring strategies. This aims to support a more focused development for both new trainees and experienced pilots in recurrent training. The paper outlines the cooperative progress made in developing an emerging eye-tracking-based training solution for contemporary airline pilot training. It shares selected findings from three studies conducted and discusses the potential, challenges, and lessons learned so far.
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Nau, Matthias, Markus Frey, and Christian F. Doeller. "DeepMReye: MR-based eye tracking without eye tracking." Journal of Vision 20, no. 11 (October 20, 2020): 1014. http://dx.doi.org/10.1167/jov.20.11.1014.

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Gerstenberg, Tobias, Matthew F. Peterson, Noah D. Goodman, David A. Lagnado, and Joshua B. Tenenbaum. "Eye-Tracking Causality." Psychological Science 28, no. 12 (October 17, 2017): 1731–44. http://dx.doi.org/10.1177/0956797617713053.

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How do people make causal judgments? What role, if any, does counterfactual simulation play? Counterfactual theories of causal judgments predict that people compare what actually happened with what would have happened if the candidate cause had been absent. Process theories predict that people focus only on what actually happened, to assess the mechanism linking candidate cause and outcome. We tracked participants’ eye movements while they judged whether one billiard ball caused another one to go through a gate or prevented it from going through. Both participants’ looking patterns and their judgments demonstrated that counterfactual simulation played a critical role. Participants simulated where the target ball would have gone if the candidate cause had been removed from the scene. The more certain participants were that the outcome would have been different, the stronger the causal judgments. These results provide the first direct evidence for spontaneous counterfactual simulation in an important domain of high-level cognition.
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Henneman, Elizabeth A., and Anna Gawlinski. "Eye-Tracking Technology." Nursing Education Perspectives 37, no. 6 (2016): 356–57. http://dx.doi.org/10.1097/01.nep.0000000000000082.

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Kochanowicz, Aneta Maria. "Eye-tracking w diagnozie, terapii i edukacji dzieci z niepełnosprawnością sprzężoną. Zarys problematyki." Edukacja Elementarna w Teorii i Praktyce 14, no. 4(54) (January 29, 2020): 109–19. http://dx.doi.org/10.35765/eetp.2019.1454.08.

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Celem artykułu jest przedstawienie możliwości wykorzystania eye-trackingu w szeroko pojmowanej edukacji dziecka niemówiącego ze sprzężoną niepełnosprawnością. Autorka posłużyła się analizą danych zastanych dokonaną z perspektywy własnego doświadczenia terapeutycznego w stosowaniu eye-trackingu w pracy z dziećmi w wieku przedszkolnym z niepełnosprawnością sprzężoną. W tekście przedstawiła najpierw zasadę działania eye-trackingu, a następnie ukazała jego wykorzystanie w badaniach z zakresu marketingu, kartografii, informatyki, jak również technik uczenia się. Następnie wskazała na eye-tracking jako potencjalne narzędzie do komunikacji z dziećmi niemówiącymi oraz do ich edukacji. W dalszej części zaprezentowała polskie urządzenia wykorzystujące technologię eye-trackingu w działaniach diagnostycznych, terapeutycznych i edukacyjnych. Z badań wynika, iż eye-tracking może odmienić życie dzieci, dla których jedynym kanałem komunikacyjnym jest wzrok, ponieważ oferuje im nowe formy spędzania wolnego czasu, uczenia się i komunikowania z otoczeniem. Ponadto technologię eye-trackingową można i trzeba wykorzystać do ponownej diagnozy dzieci ze sprzężoną niepełnosprawnością, u których poradnie psychologiczno-pedagogiczne posługujące się tradycyjnymi metodami rozpoznały głęboki stopień niepełnosprawności intelektualnej.
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Toki, Eugenia I. "Using Eye-Tracking to Assess Dyslexia: A Systematic Review of Emerging Evidence." Education Sciences 14, no. 11 (November 17, 2024): 1256. http://dx.doi.org/10.3390/educsci14111256.

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Reading is a complex skill that requires accurate word recognition, fluent decoding, and effective comprehension. Children with dyslexia often face challenges in these areas, resulting in ongoing reading difficulties. This study systematically reviews the use of eye-tracking technology to assess dyslexia, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The review identifies the specific types of eye-tracking technologies used, examines the cognitive and behavioral abilities assessed (such as reading fluency and attention), and evaluates the primary purposes of these evaluations—screening, assessment, and diagnosis. This study explores key questions, including how eye-tracking outcomes guide intervention strategies and influence educational practices, and assesses the practicality and time efficiency of these evaluations in real-world settings. Furthermore, it considers whether eye-tracking provides a holistic developmental profile or a targeted analysis of specific skills and evaluates the generalizability of eye-tracking results across diverse populations. Gaps in the literature are highlighted, with recommendations proposed to improve eye-tracking’s precision and applicability for early dyslexia intervention. The findings underscore the potential of eye-tracking to enhance diagnostic accuracy through metrics such as fixation counts, saccadic patterns, and processing speed, key indicators that distinguish dyslexic from typical reading behaviors. Additionally, studies show that integrating machine learning with eye-tracking data can enhance classification accuracy, suggesting promising applications for scalable, early dyslexia screening in educational settings. This review provides new insights into the value of eye-tracking technology in identifying dyslexia, emphasizing the need for further research to refine these methods and support their adoption in classrooms and clinics.
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Mital, O. H. "Using Eye Tracking Technology in the Neuromarketing Research." Business Inform 6, no. 509 (2020): 366–71. http://dx.doi.org/10.32983/2222-4459-2020-6-366-371.

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Slim, Mieke Sarah, Margaret Kandel, Anthony Yacovone, and Jesse Snedeker. "Webcams as Windows to the Mind? A Direct Comparison Between In-Lab and Web-Based Eye-Tracking Methods." Open Mind 8 (2024): 1369–424. https://doi.org/10.1162/opmi_a_00171.

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Abstract There is a growing interest in the use of webcams to conduct eye-tracking experiments over the internet. We assessed the performance of two webcam-based eye-tracking techniques for behavioral research: manual annotation of webcam videos (manual eye-tracking) and the automated WebGazer eye-tracking algorithm. We compared these methods to a traditional infrared eye-tracker and assessed their performance in both lab and web-based settings. In both lab and web experiments, participants completed the same battery of five tasks, selected to trigger effects of various sizes: two visual fixation tasks and three visual world tasks testing real-time (psycholinguistic) processing effects. In the lab experiment, we simultaneously collected infrared eye-tracking, manual eye-tracking, and WebGazer data; in the web experiment, we simultaneously collected manual eye-tracking and WebGazer data. We found that the two webcam-based methods are suited to capture different types of eye-movement patterns. Manual eye-tracking, similar to infrared eye-tracking, detected both large and small effects. WebGazer, however, showed less accuracy in detecting short, subtle effects. There was no notable effect of setting for either method. We discuss the trade-offs researchers face when choosing eye-tracking methods and offer advice for conducting eye-tracking experiments over the internet.
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Dissertations / Theses on the topic "Eye tracking"

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Dahlberg, Joakim. "Eye Tracking with Eye Glasses." Thesis, Umeå University, Department of Physics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-32868.

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This study is concerned with the negative effects of wearing corrective lenses while using eye trackers, and the correction of those negative effects. The eye tracker technology studied is the video based real-time Pupil Center and Corneal Reflection method. With a user study, the wearing of eyeglasses is shown to cause 20 % greater errors in the accuracy of an eye tracker than when not wearing glasses. The error is shown to depend on where on the eye tracker viewing area the user is looking.

A model for ray refraction when wearing glasses was developed. Measurements on distortions on the image of the eye caused by eyeglass lenses were carried out. The distortions were analyzed with eye tracking software to determine their impact on the image-to-world coordinates mapping. A typical dependence of 1 mm relative distance change on cornea to 9 degrees of visual field was found.

The developed mathematical/physiological model for eyeglasses focuses on artifacts not possible to accommodate for with existing calibration methods, primarily varying combinations of viewing angles and head rotations. The main unknown in the presented model is the effective strength of the glasses. Automatic identification is discussed. The model presented here is general in nature and needs to be developed further in order to be a part of a specific application.

 

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Lennartsson, Emilia. "Eye-tracking och matematik : En eye-tracking-undersökning om användandet av prioriteringsreglerna." Thesis, Högskolan för lärande och kommunikation, Jönköping University, Matematikdidaktisk forskning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49555.

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Syftet med denna studie är att undersöka vilken information om matematiska strategier som går att urskilja ur en persons ögonrörelser vid en undersökning med en enklare typ av eye-tracker. Eye-tracking är en metod som gör det möjligt att studera människors ögonrörelser genom att följa den visuella uppmärksamheten utifrån vart en person tittar. I studien används en stationär eye-tracker för att kunna mäta ögonrörelserna. I den här studien har eye-tracking-undersökningar genomförts med två deltagare som tittar på och löser matematiska uppgifter som kräver prioritering. Den här studien använder en billig (kostar cirka 1000 SEK) kommersiell eye-tracker med ett egentillverkat datainsamlingsprogram. Resultatet av studien visade att det gick att utläsa information och baserat på det gick det att tolka att deltagarna verkligen använde sig av prioriteringsreglerna vid uppgifterna.
The aim of this study is to investigate what information can be gathered by studying a person’s eye movements with a simpler kind of eye-tracker device. Eye-tracking is a technique that allows studying eye movements. In this study a stationary eye-tracking device was used to study and measure eye movements. This study is an original eyetracking study, consisting of two participants who solved mathematical problems that require the use of order of operations whilst wearing an eye-tracker device. The device was a relatively cheap (cost around 1000 SEK) commercial eye-tracker with a home-made data acquisition software system. The result of the study is that it is indeed possible to collect and interpret information using an eye-tracker. Based on the results the conclusion can be made that the participants used the order of operations to solve the assignments.
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WIDÉN, TOBIAS. "Eye Tracking Simulation Framework." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142482.

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To facilitate eye tracking algorithm development that would benefit from simulation we created an eye tracking simulation software library and Application Programming Interface with reusable components. The main part of this library consists of a simulation core able to accept different geometrical models for the eyes, depiction mechanisms, illumination sources and eye tracking algorithms. The library has support for data generation using these models as partial input. It is also capable of performing eye tracking, including eye model calibration using the generated data and algorithms as input. We describe a selection of methodological techniques and principles for software engineering and exemplify how these can be used to improve functionality and usability of software systems. Finally, we discuss future uses and improvements which could further increase the tool’s usability and engineering qualities.
För att underlätta utveckling av eye tracking-algoritmer har vi skapat ett simuleringsverktyg och programmeringsgränssnitt med återanvändbara komponenter. Verktyget består i huvudsak av en kärna, vilken utifrån geometriska modeller för ögon och ljuskällor, mekanismer för optisk projektion och algoritmer genererar eye tracking-data från virtuella scener samt kalibrering av ögonmodeller med algoritmer som tolkar genererat data. Vi beskriver ett urval av formella metoder och principer för mjukvaruutveckling och exemplifierar hur dessa kan användas för att förbättra funktionalitet och användbarhet av mjukvara. Slutligen diskuterar vi framtida användningsområden och förbättringar som ytterligare kan öka verktygets användbarhet och ingenjörsmässighet.
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Fekete, Lorand, and Maria Hagelbäck. "Gameplay experience with eye tracking." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5320.

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This study is about how a person who is used to play games experiences playing a game with their eyes as input. The participants played a 3D game where the player had to collect coins by moving a ball over them. The participants first tried the game with keyboard as input and then right after only interacting by gazing via screen. The achieved score was recorded both for input from keyboard and input from eye. After the game session the participants were asked to answer two questionnaires that contained questions about their background and questions referring to the game they just played. The experiment was performed in a lab with a TobiiT60 eye tracker. All participants got lower score when they used eye tracking as input but most of the participants found it to be more fun. We reached the conclusion that, with the game used in our experiment, the participants felt that gaining a high score was not the most important. Instead they ranked having fun as a more important factor. Our experiment has shown that using an eye tracker can make a casual game more fun.
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Jurzykowski, Michal. "Eye Tracking in User Interfaces." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236489.

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Tato diplomová práce byla vytvořena během studijního pobytu na Uviversity of Estern Finland, Joensuu, Finsko. Tato diplomová práce se zabývá využitím technologie sledování pohledu neboli také sledování pohybu očí (Eye-Tracking) pro interakci člověk-počítač (Human-Computer Interaction (HCI)). Navržený a realizovaný systém mapuje pozici bodu pohledu/zájmu (the point of gaze), která odpovídá souřadnicím v souřadnicovém systému kamery scény do souřadnicového systému displeje. Zároveň tento systém kompenzuje pohyby uživatele a tím odstraňuje jeden z hlavních problémů využití sledování pohledu v HCI. Toho je dosaženo díky stanovení transformace mezi projektivním prostorem scény a projektivním prostorem displeje. Za použití význačných bodů (interesting points), které jsou nalezeny a popsány pomocí metody SURF, vyhledání a spárování korespondujících bodů a vypočítání homografie. Systém byl testován s využitím testovacích bodů, které byly rozložené po celé ploše displeje.
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TANNFELT, WU JENNIFER. "Robot mimicking human eye movements to test eye tracking devices." Thesis, KTH, Mekatronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245066.

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Testing of eye tracking devices is done by humans looking at well defined stimuli. This way of testing eye trackers is not accurate enough because of human errors. The goal of this thesis is to design and construct reliable robotic eyes that can mimic the behaviour of human eyes. After a pre-study where human eyes, eye tracking and previous robotic eyes were studied, system requirements and specifications were formulated. Based on the re-quirements important design decisions were taken such as the use of RC servo motors, push rods, microcontrollers and a Raspberry Pi. Later the inverse kinematics of the movements and a saccade’s path planing were modelled. Additional mechanical de-sign features are rotation of the head and adjustment of the interpupillary distance. The robot is controlled using two types of application programming interfaces (APIs.) The first API is used to control the motors and the second API builds on top of the first API but is used to design paths of different eye movements between fixation points. All eye movement calculations are computed on the Raspberry Pi before the movements are communicated in real time to the microcontroller which directly performs the control signal. The robot was tested using the integrated lasers in the eyes and a video cam-era with slow motion capabilities to capture the projected laser dot on a wall. The properties tested are saccade, smooth pursuit, head rotation and eye tracking device compatibility. The results show high precision but not enough accuracy. The robot needs a few mechanical improvements such as removing the backlash in the rotat-ing joints on the eyes, decreasing the flexibility of some of the 3D printed parts and assuring symmetry in the design. The robot is a powerful testing platform capa-ble of performing all eye movement types with high-resolution control of both eyes independently through an API.
Eyetracking utrustning testas av människor som tittar på väldefinierade stimuli. Att testa eyetracking på det här sättet är inte tillräckligt noggrant på grund av mänskligt fel. Malet med detta examensarbete är att designa och bygga en pålitlig ögonrobot som kan härma beteendet hos mänskliga ögon. Efter en förstudie om mänskliga ögon, eyetracking och existerade robotögon formulerades system-krav och -specikationer. Baserat på dessa krav togs en del betydande designbeslut som att använda RC servomotorer, tryckstånger, mikrokontrollers och en Raspberry Pi. Senare modellerades den inverterade kinematiken av rörelserna och saccaders banor. Ytterligare mekaniska funktioner är rotation av huvudet och justering av avståndet mellan pupillerna. Roboten styrs med hjälp av två applikationsprogrammeringsgränssnitt (API). Det första API:et används för att styra motorerna och det andra API:et bygger på det första men används för att bygga rörelsevanor av olika ögonrörelser mellan fixationspunkter. Alla ögonrörelseberåkningar görs på Raspberry Pin innan rörelsen kommuniceras i realtid till mikrokontrollen som på direkten exekverar styrsignalen. Roboten testades med integrerade lasrar i ögonen och en kamera med slow motion funktionalitet för att fånga laser prickens projektion på en vägg. Funktioner som testades är saccader, smooth pursuit, huvudrotation och eyetracking kompatibilitet. Resultat visade en hög precision men inte tillräckligt hög noggrannhet. Roboten behöver några få mekaniska förbättringar som att få bort glappet i de roterande lederna på ögat, minska flexibiliteten i några av de 3D-utskrivna delarna och garantera symmetri i designen. Roboten är en kraftfull testplatform kapabel till att utföra alla typer av ögonrörelser med högupplöst kontroll av båda ögonen var för sig genom ett API.
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Meyer, Aaron M. "Eye-tracking investigations of lexical ambiguity." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4141.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2005.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 18, 2006) Vita. Includes bibliographical references.
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Aldana, Pulido Rafael. "Ophthalmic Diagnostics Using Eye Tracking Technology." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-90811.

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Human eyes directly reflect brain activity and cognition. The study of eye movements and gaze patterns can therefore say a lot about the human brain and human behavior. Today eye tracking technology is being used to measure acuity of toddlers, to rehabilitate patients in intensive care, to detect if a person is lying or not, and to understand the cognitive level of a non-verbal person. Current vision testing is mostly based on manual observation and subjective methods. With eye tracking technology eye movements can be tested in an automated way that increases reliability and reduces variability and subjectivity. Eye tracking technology allows for measuring eye movements and therefore quantitative comparisons of the progress in treatment can be made over the course of a patient’s therapy –enabling more effective therapy. This technology also enables standardized and automated processes that are more time- and cost-efficient. The most important advantages of this technology is that it is non-invasive and it is not necessary to stabilize the subject’s head during testing. These advantages greatly extend the set of subjects that can be studied and reduce the cost and skills required for studying eye movements and gaze patterns. This thesis has developed and evaluated a novel calibration procedure for an eye tracker. The development phase has included programming and integration with the existing application programming interfaces. The evaluation phase included reliability and validity testing, as well as statistical analysis in terms of repeatability, objectivity, comprehension, relevance, and independence of the performance of the Tobii T60/T120 Eye Tracker on healthy  subjects. The experimental results have shown that the prototype application gives the expected benefits in a clinical  setting. A conclusion of this thesis is that eye tracking technology could be an improvement over existing methods for screening of eye alignment and diagnostics of ophthalmic disorders, such as strabismus (crossed eyes) or amblyopia (lazy eye). However, applying this technology to clinical cases will require further development. This development is suggested as future work.
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Tong, Irene Go. "Eye gaze tracking in surgical robotics." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62845.

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Robot-assisted surgery allows surgeons to have improved control and visualization in minimally invasive procedures. Eye gaze tracking is a valuable tool for studying and improving the surgeon experience during robot-assisted surgery. Eye gaze information gives insight on how surgeons are interacting with surgical systems as well as their intentions during surgical tasks. This thesis describes the development of an eye gaze tracker for the da Vinci Surgical System. The eye gaze tracker is designed to track both the 2D and 3D eye gaze of a surgeon. It interfaces with the da Vinci Surgical System through the da Vinci Research Kit (dVRK) and Robot Operating System (ROS) frameworks. The use of the eye gaze tracker is demonstrated in two applications. Firstly, a motor control framework is designed to aid surgeons in moving surgical tools towards their point of gaze. A haptic force is applied to the da Vinci master manipulators to pull the surgeon's hands towards where they are looking. This framework is demonstrated on a full da Vinci Surgical System on dry lab tasks. Secondly, eye gaze information is collected from 7 surgeons performing realistic clinical tasks with the da Vinci Surgical System. A prediction model using a random forest classifier is built based on the eye gaze information and tool kinematic information in order to predict how and when surgeons move their camera. This behavioural model has applications in both surgeon training and endoscope automation.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Hedlund, Markus. "Eye tracking technology for Automation Industry." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-182145.

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This master thesis is done at CrossControl, a company in the automation industry. A literature review was done covering state of the art technology of eye-tracking and gaze control and how it can be used in the automation industry. One purpose with the study was to indentify features important for an eye-tracker in automation applications. Findings suggests that there are no standard methods for measuring the performance of trackers and further that performance in regard to gaze control is limited by physiology of the eye rather than limitations of the devices. The differences between trackers are found in robustness when it comes to differences in people or conditions in the environment. A prototype was made for demonstration. The prototype was built on equipment used in the industry combined with an eye-tracker from Tobii. A library, where coordinates from the eye-tracker were used to indicate what object in the interface was gazed upon, was implemented and used to demonstrate concepts such as buttons outside the screen activated by gaze.
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Books on the topic "Eye tracking"

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Stuart, Samuel, ed. Eye Tracking. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2391-6.

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Duchowski, Andrew T. Eye Tracking Methodology. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5.

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Brône, Geert, and Bert Oben, eds. Eye-tracking in Interaction. Amsterdam: John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/ais.10.

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Burch, Michael, Lewis Chuang, Brian Fisher, Albrecht Schmidt, and Daniel Weiskopf, eds. Eye Tracking and Visualization. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47024-5.

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Rainoldi, Mattia, and Mario Jooss, eds. Eye Tracking in Tourism. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49709-5.

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Wang, Zhiguo. Eye-Tracking with Python and Pylink. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82635-2.

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Horsley, Mike, Matt Eliot, Bruce Allen Knight, and Ronan Reilly, eds. Current Trends in Eye Tracking Research. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02868-2.

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Duchowski, Andrew T. Eye Tracking Methodology: Theory and Practice. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3750-4.

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Walker, Callum, and Federico M. Federici, eds. Eye Tracking and Multidisciplinary Studies on Translation. Amsterdam: John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/btl.143.

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VandenPlas, Jessica R., Sarah J. R. Hansen, and Steven Cullipher, eds. Eye Tracking for the Chemistry Education Researcher. Washington, DC: American Chemical Society, 2018. http://dx.doi.org/10.1021/bk-2018-1292.

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Book chapters on the topic "Eye tracking"

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Ebner, Natalie C., Devon H. Weir, and Robert D. Rainer. "Eye Tracking." In Encyclopedia of Clinical Neuropsychology, 1374–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_9083.

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Ellenbroek, Bart, Alfonso Abizaid, Shimon Amir, Martina de Zwaan, Sarah Parylak, Pietro Cottone, Eric P. Zorrilla, et al. "Eye Tracking." In Encyclopedia of Psychopharmacology, 529. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_3263.

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LaCaille, Lara, Anna Maria Patino-Fernandez, Jane Monaco, Ding Ding, C. Renn Upchurch Sweeney, Colin D. Butler, Colin L. Soskolne, et al. "Eye Tracking." In Encyclopedia of Behavioral Medicine, 746–53. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_878.

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Ebner, Natalie C., Devon H. Weir, and Robert D. Rainer. "Eye Tracking." In Encyclopedia of Clinical Neuropsychology, 1–4. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-56782-2_9083-1.

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Purits, Naum. "Eye Tracking." In Encyclopedia of Behavioral Medicine, 1–8. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-6439-6_878-2.

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Charman, Tony, Susan Hepburn, Moira Lewis, Moira Lewis, Amanda Steiner, Sally J. Rogers, Annemarie Elburg, et al. "Eye-Tracking." In Encyclopedia of Autism Spectrum Disorders, 1208–13. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_1474.

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Burch, Michael. "Eye Tracking." In Eye Tracking and Visual Analytics, 175–227. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338161-5.

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Slabakova, Roumyana, Tania Leal, and Laura Domínguez. "Eye-tracking." In Research Methods in Generative Second Language Acquisition, 119–35. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003160762-11.

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Quartier, Katelijn, and Kim Janssens. "Eye-tracking." In Researching and Analysing Business, 193–204. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003107774-15.

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Purits, Naum. "Eye Tracking." In Encyclopedia of Behavioral Medicine, 828–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_878.

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Conference papers on the topic "Eye tracking"

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Wang, Jiazhang, Tianfu Wang, Jiwon Choi, Oliver Cossairt, and Florian Willomitzer. "Deflectometric Eye-tracking on Human Eyes." In Frontiers in Optics, FTu6B.3. Washington, D.C.: Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.ftu6b.3.

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We introduce a new technique and experiments for deflectometric eye tracking on real human eyes in vivo. Our technique utilizes the teachings of our previous eye-tracking research, combining the captured deflectometric information in a novel fashion.
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Szkulmowski, Maciej, Marta K. Skrok, Robert Konklewski-Pilewicz, Patrycjusz Stremplewski, Maciej Nowakowski, Valentyna Pryhodiuk, Jakub Lipiński, et al. "An eye-tracking device with combined retinal and anterior eye-tracking capabilities." In Ophthalmic Technologies XXXV, edited by Yuankai K. Tao, Daniel X. Hammer, and Derek Nankivil, 11. SPIE, 2025. https://doi.org/10.1117/12.3047812.

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Cheng, Daniel, and Roel Vertegaal. "An eye for an eye." In the Eye tracking research & applications symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/968363.968378.

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Nair, Nitinraj, Aayush Kumar Chaudhary, Rakshit Sunil Kothari, Gabriel Jacob Diaz, Jeff B. Pelz, and Reynold Bailey. "RIT-Eyes: realistically rendered eye images for eye-tracking applications." In ETRA '20: 2020 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3379157.3391990.

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Wang, Quan, Laura Boccanfuso, Beibin Li, Amy Yeo-jin Ahn, Claire E. Foster, Margaret P. Orr, Brian Scassellati, and Frederick Shic. "Thermographic eye tracking." In ETRA '16: 2016 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2857491.2857543.

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Fehringer, Benedict C. O. F. "Eye tracking gaze visualiser." In ETRA '14: Eye Tracking Research and Applications. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2578153.2578191.

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Paletta, Lucas, Helmut Neuschmied, Michael Schwarz, Gerald Lodron, Martin Pszeida, Stefan Ladstätter, and Patrick Luley. "Smartphone eye tracking toolbox." In ETRA '14: Eye Tracking Research and Applications. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2578153.2628813.

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Hansen, Dan Witzner, David J. C. MacKay, John Paulin Hansen, and Mads Nielsen. "Eye tracking off the shelf." In the Eye tracking research & applications symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/968363.968375.

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Cheng, Shiwei, Zhiqiang Sun, Xiaojuan Ma, Jodi L. Forlizzi, Scott E. Hudson, and Anind Dey. "Social Eye Tracking." In CSCW '15: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2675133.2675249.

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Nguyen, Ba Linh. "Eye Gaze Tracking." In 2009 IEEE-RIVF International Conference on Computing and Communication Technologies. IEEE, 2009. http://dx.doi.org/10.1109/rivf.2009.5174639.

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Reports on the topic "Eye tracking"

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McIntire, Lindsey, Chuck Goodyear, Nathaniel Bridges, R. A. McKinley, Mac Merritt, Katheleen Griffin, and John McIntire. Eye-Tracking: An Alternative Vigilance Detector. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada559743.

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Jayaweera, S. K., and Shin-yee Lu. Long-range eye tracking: A feasibility study. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/31705.

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Johnson, M., L. Mason, T. Smith, L. Tucker, and S. Walton. Life Study Standard Operating Procedures: Infant Eye Tracking. Life Course Epidemiology and Biostatistics/ UCL Institute of Child Health, 2016. http://dx.doi.org/10.14324/000.wp.1485691.

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Doane, Stephanie, and Gary Bradshaw. Integrating Digital Eye Tracking With Personnel Optimization Research. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada411009.

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Stites, Mallory, Laura Matzen, Kathryn Rodhouse, Breannan Howell, and Alisa Rogers. Using Eye-Tracking to Quantify Reverse Engineering Expertise. Office of Scientific and Technical Information (OSTI), April 2023. http://dx.doi.org/10.2172/2432269.

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McNamara, Laura, and Michael Haass. Enhancement of Eye Tracking for Highly Dynamic Displays. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1528992.

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McNamara, Laura A., Kristin Marie Divis, James D. Morrow, Maximillian Gene Chen, and David Perkins. Challenges in Eye Tracking for Dynamic User-Driven Workflows. Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1481948.

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Graesser, Arthur C. Eye Tracking While Answering Questions in Electronic Multimedia Environments. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada409047.

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Kee, Jennifer, Melinda Knuth, Joanna Lahey, and Marco Palma. Does Eye-Tracking Have an Effect on Economic Behavior? Cambridge, MA: National Bureau of Economic Research, December 2020. http://dx.doi.org/10.3386/w28223.

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Bennur, Shubhapriya. Consumers Visual Search Behavior on the Websites: An Eye Tracking Approach. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1467.

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