7 research outputs found

    Considerations for the Use of Remote Gaze Tracking to Assess Behavior in Flight Simulators

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    Complex user interfaces (such as those found in an aircraft cockpit) may be designed from first principles, but inevitably must be evaluated with real users. User gaze data can provide valuable information that can help to interpret other actions that change the state of the system. However, care must be taken to ensure that any conclusions drawn from gaze data are well supported. Through a combination of empirical and simulated data, we identify several considerations and potential pitfalls when measuring gaze behavior in high-fidelity simulators. We show that physical layout, behavioral differences, and noise levels can all substantially alter the quality of fit for algorithms that segment gaze measurements into individual fixations. We provide guidelines to help investigators ensure that conclusions drawn from gaze tracking data are not artifactual consequences of data quality or analysis techniques

    ZASTOSOWANIA ANALIZY RUCHU OCZU W DIAGNOSTYCE CHORร“B NEURODEGENERACYJNYCH

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    Eye-tracking allows for non-invasive examination and the same eyetrackers are becoming more available, thus its popularity in medical diagnosis and other fields of application is increasing. The paper presents the possibilities for using eye-tracking in the diagnosis neurodegenerative disease such as Parkinson or Alzheimer diseases. The autor describes the exetracking experiment, the model of fixations and saccedes detection, as well as the selected examples of eye-tracking research conducted among patients with neurodegenerative diseases.Badania okulograficzne sฤ… nieinwazyjne, a sprzฤ™t okulograficzny coraz bardziej dostฤ™pny, dlatego teลผ roล›nie jego popularnoล›ฤ‡ w diagnostyce medycznej oraz innych obszarach zastosowaล„. Artykuล‚ prezentuje moลผliwoล›ci dotyczฤ…cy zastosowania badaล„ okulograficznych w diagnostyce chorรณb neurodegeneracyjnych takich jak Parkinson, czy Alzheimer. Autorka koncentruje siฤ™ na przestawieniu charakterystyki badania okulograficznego, modelu detekcji podstawowych zdarzeล„ takich jak fiksacje i sakkady, a takลผe na przykล‚adach badaล„ zaburzeล„ okoruchowych w wybranych chorobach neurodegeneracyjnych

    An eye movement analysis of perceived outdoor advertising clutter

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฐ์—…๊ณตํ•™๊ณผ, 2012. 8. ์œค๋ช…ํ™˜.๋ณธ ์—ฐ๊ตฌ๋Š” ์˜ฅ์™ธ ๊ด‘๊ณ ๋ฌผ์— ์‚ฌ์šฉ๋œ ๊ธ€์ž๋ฅผ ์ธ์ง€ํ•˜๊ณ  ์ฒ˜๋ฆฌํ•˜๋Š” ๊ณผ์ •์„ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์— ์žˆ์–ด ์‹ค์ œ ์‚ฌ์šฉ์ž๊ฐ€ ๊ฒฝํ—˜ํ•˜๊ฒŒ ๋˜๋Š” ๊ฐ€๋กœ ํ™˜๊ฒฝ์—์„œ ์ดฌ์˜ํ•œ ์‚ฌ์ง„์„ ์‹คํ—˜ ์ž๊ทน์œผ๋กœ ์‚ฌ์šฉํ•˜๊ณ , ์‹œ์„  ์ถ”์  ๊ธฐ๋ฒ•์„ ํ†ตํ•˜์—ฌ ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ ๊ฐœ์„ ์‚ฌ์—… ์ „โ€ขํ›„ ์‚ฌ์šฉ์ž๊ฐ€ ์ธ์ง€ํ•˜๋Š” ํ˜ผ์žก๋„๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ ๊ฐœ์„ ์‚ฌ์—…์ด ์‹œ๊ฐ ํƒ์ƒ‰ ๊ณผ์—…์— ์–ด๋– ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€๋ฅผ ํ”ผํ—˜์ž์˜ ๋ˆˆ์˜ ์›€์ง์ž„์˜ ํŠน์„ฑ์˜ ์ฐจ์ด๋ฅผ ํ†ตํ•˜์—ฌ ๋น„๊ตํ•˜์˜€๋‹ค. ์‹œ์„ ์ถ”์ ๊ธฐ๋ฒ•์„ ํ†ตํ•œ ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ ๊ฐœ์„ ์‚ฌ์—… ์ „โ€ขํ›„ ์‹ค์ œ ์‚ฌ์ง„์— ๋Œ€ํ•œ ํƒ์ƒ‰ ๊ณผ์—… ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜๋Š” ๋ณธ ์—ฐ๊ตฌ์˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๊ฐœ์„ ์‚ฌ์—… ํ›„ ๊ณผ์—…์— ์†Œ์š”๋œ ์‹œ๊ฐ„(Rt)์€ ์งง์•„์กŒ๋‹ค. ๊ฐœ์„ ์‚ฌ์—… ํ›„ ์‘์‹œ ํšŸ์ˆ˜(Fc)๋Š” ๊ฐ์†Œํ•˜์˜€๋‹ค. ์‘์‹œ ํšŸ์ˆ˜๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ํƒ์ƒ‰ํ•ด์•ผ ํ•˜๋Š” ์ž๊ทน๋ฌผ์˜ ๊ฐœ์ˆ˜์™€ ๊ด€๋ จ ์žˆ๋‹ค. ์ ์€ ์‘์‹œ ํšŸ์ˆ˜๋กœ ํƒ์ƒ‰ ๊ณผ์—…์„ ์ˆ˜ํ–‰ํ•œ ๊ฒฐ๊ณผ๋Š” ๊ฐœ์„  ์‚ฌ์—… ํ›„์˜ ํƒ์ƒ‰์— ๊ฑธ๋ฆฐ ์‹œ๊ฐ„์€ ์ค„์–ด๋“ค๊ณ  ํƒ์ƒ‰ ํšจ์œจ์€ ์ฆ๊ฐ€ํ–ˆ์Œ์„ ๋‚˜ํƒ€๋‚ธ๋‹ค. ํƒ์ƒ‰๊ณผ์—…์—์„œ ๊ณผ์—…์— ์†Œ์š”๋œ ์‹œ๊ฐ„์€ ๋ชฉํ‘œ๋ฌผ์„ ์ฐพ๋Š” ์‹œ๊ฐ„๊ณผ ์˜ฅ์™ธ ๊ด‘๊ณ ๋ฌผ์˜ ๊ธ€์ž๋ฅผ ์ฝ๊ณ  ์ •๋ณด๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ์‹œ๊ฐ„์œผ๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ๊ฐœ์„ ์‚ฌ์—… ํ›„ ์‘์‹œ ์ง€์†์‹œ๊ฐ„(Fd)์€ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ์ด๋Š” ํƒ์ƒ‰ ์‹œ๊ฐ„์€ ์งง์•„์ง€๊ณ  ๊ด‘๊ณ ๋ฌผ์˜ ํ…์ŠคํŠธ ์ •๋ณด์ฒ˜๋ฆฌ์— ๋” ๋งŽ์€ ์‹œ๊ฐ„์„ ํ• ์• ํ•˜์˜€๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๊ฐœ์„  ์‚ฌ์—…ํ›„์˜ ์ •๋ณด์ „๋‹ฌ ํšจ๊ณผ์„ฑ์ด ํ–ฅ์ƒ๋˜์—ˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๊ฐœ์„ ์‚ฌ์—… ์ดํ›„ ์‹œ๊ฐ ํƒ์ƒ‰ ๊ณผ์—…์—์„œ ์ฃผ์‚ฌ๊ฒฝ๋กœ์˜ ๊ธธ์ด(SpL)๋Š” ์งง์•„ ์กŒ์œผ๋ฉฐ, ์ฃผ์‚ฌ๊ฒฝ๋กœ์˜ ํ‰๊ท  ๊ฐ’์ธ ๋„์•ฝ ์ง„ํญ(Sa)์—ญ์‹œ ์งง์•„์กŒ๋‹ค. ๋”ฐ๋ผ์„œ ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ ๊ฐœ์„ ์‚ฌ์—… ์ดํ›„์˜ ํƒ์ƒ‰ ๊ณผ์—…์ด ๋”์šฑ ํšจ์œจ์ ์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์˜ฅ์™ธ ๊ด‘๊ณ ๋ฌผ ๊ฐœ์„  ์‚ฌ์—… ํ›„ ๊ฐ€๋กœ์˜ ์ž…๋ฉด์—์„œ ํƒ์ƒ‰ ๊ณผ์—…์˜ ์„ฑ๋Šฅ์€ ํ–ฅ์ƒ๋˜์—ˆ์œผ๋ฉฐ ์‚ฌ์šฉ์ž๊ฐ€ ์ง€๊ฐํ•˜๋Š” ํ˜ผ์žก๋„๋Š” ์ค„์–ด๋“ค์—ˆ๋‹ค.Objective: In the present study, a comparative analysis of perceived outdoor advertisement clutter and visual search performance before and after street improvement projects was investigated Background: To determined the perceived clutter I examined the edge density (Oliva et al, 2004) and the search efficiency as a measure of subjective visual complexity of scenes that were the execution of the improvement project for the outdoor signboard in Seoul, as well as the difference of eye movement pattern. Features of their scanpath with respect to various saccade and fixation parameters were examined to determine whether they behaved with eye movement strategies. Method: 30 Viewers looked at images of outdoor advertisement as their eye movements were recorded using an infra-red recording technique (Tobii x60) during performance of visual search task. The edge density was measured to be determined for complexity of signboard and precisely quantitatively specified. Results: The Longer latencies for previous scenes resulted from a greater fixation count and longer scanpath length needed to locate a target. The results indicate quite clearly that perceived visual clutter correlates with search performance in scenes as assessed both by response time and by eye movement metrics. Conclusion: Eye movements helped corroborate increased visual search efficiency of the new outdoor signboards under visual search tasks. The signboards before the street improvement projects produced more fixations with longer scanpath length, which meant more difficult searching. The longer reaction time indicates less efficient scanning behavior. Fewer, yet longer, fixations were made with the task of after street improvement projects. Shorter scanpaths indicate that the given signboard names were easy to find.์ œ 1 ์žฅ ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 1.1.1 ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ ๊ฒฝ๊ด€ ๊ทœ์ œ ์ œ๋„์™€ ์‹คํƒœ 1 1.1.2 ์ˆ˜์šฉ์ž ์ค‘์‹ฌ์˜ ๊ด‘๊ณ  ํšจ๊ณผ์„ฑ ์ธก์ • 5 1.2 ์—ฐ๊ตฌ ๋ชฉ์  7 1.3 ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ 9 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ 11 2.1 ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ ๊ทœ์ œ์™€ ๊ด€๋ จ ์ด๋ก  11 2.1.1 ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ์˜ ์ •์˜ ๋ฐ ๊ฐœ๋… 11 2.1.2 ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ์˜ ํŠน์„ฑ 12 2.1.3 ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ์˜ ๋ฌธ์ œ์  13 2.1.4 ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ ๊ฐœ์„ ์‚ฌ์—…์˜ ํ•œ๊ณ„ 18 2.2 ์‹œ๊ฐ์  ์ฃผ์˜(attention)์™€ ๊ด€๋ จ ์ด๋ก  21 2.2.1 ์˜ฅ์™ธ๊ด‘๊ณ ๋ฌผ์˜ ์‹œ๊ฐ์  ์š”์†Œ 21 2.2.2 ์‹œ๊ฐ์  ์ฃผ์˜์™€ ๊ด‘๊ณ  ํšจ๊ณผ์„ฑ ์ธก์ • 26 2.3.3 ์„ ํƒ์  ์ฃผ์˜ ์ง‘์ค‘๊ณผ ๊ด‘๊ณ  ํšŒํ”ผ 28 2.3 ํ˜ผ์žก(clutter)ํ˜„์ƒ๊ณผ ๊ด€๋ จ ์ด๋ก  30 2.3.1 ๊ด‘๊ณ  ํ˜ผ์žก(clutter)๊ณผ ํ˜ผ์žก ์ง€๊ฐ(perceived clutter) 30 2.3.2 ํ˜ผ์žก๋„ ์ธก์ •์— ๊ด€๋ จํ•œ ์„ ํ–‰์—ฐ๊ตฌ (Method of evaluating clutter) 32 2.3.3 ํ˜ผ์žก๋„์™€ ํƒ์ƒ‰ ํšจ์œจ (Search Efficiency) 34 2.4 ๋ˆˆ์˜ ์›€์ง์ž„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ 36 2.4.1 ๋ˆˆ์˜ ์›€์ง์ž„ 37 2.4.2 ๋ˆˆ์˜ ์›€์ง์ž„์— ๋Œ€ํ•œ ์„ ํ–‰ ์—ฐ๊ตฌ 41 2.4.3 ๋ˆˆ์˜ ์›€์ง์ž„๊ณผ ์‹œ๊ฐ ํƒ์ƒ‰ 42 2.4.4 ๋ˆˆ์˜ ์›€์ง์ž„ ์ธก์ • ์ฒ™๋„ (Eye-movement metrics) 46 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๊ณผ ๋ฒ”์œ„ 56 3.1 ์—ฐ๊ตฌ ๋ฌธ์ œ ๋ฐ ๊ฐ€์„ค ์„ค์ • 56 3.1.1 ์—ฐ๊ตฌ๋ฌธ์ œ์˜ ์„ค์ • 56 3.1.2 ์—ฐ๊ตฌ ๊ฐ€์„ค ์„ค์ • (research hypothesis) 57 3.2 ๋ณ€์ธ์˜ ์กฐ์ž‘์  ์ •์˜์™€ ํŠน์„ฑ(operation of variables) 59 3.2.1 ๋…๋ฆฝ ๋ณ€์ˆ˜ 60 3.2.2 ์ข…์† ๋ณ€์ˆ˜ 63 3.3 ์‹คํ—˜ ์ ˆ์ฐจ ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 67 3.3.1 ํ”ผํ—˜์ž ์„ ์ • ๋ฐ ์‹คํ—˜ ๊ฐœ์š”(participants) 67 3.3.2 ์‹คํ—˜ ์žฅ๋น„ ๋ฐ ๋ถ„์„๋„๊ตฌ (eye tracking apparatus) 68 3.3.3 ์‹คํ—˜ ์ˆœ์„œ(task procedure) 70 3.3.4 ์‹คํ—˜ ๋ถ„์„ ๋ฐฉ๋ฒ• 72 ์ œ 4 ์žฅ ๋ถ„์„ ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 74 4.1 ๊ฐ€์„ค ๊ฒ€์ฆ 74 4.2 ์˜ฅ์™ธ ๊ด‘๊ณ ๋ฌผ ๊ฐœ์„ ์‚ฌ์—… ์ „โ€ขํ›„ ๋น„๊ต ๋ถ„์„ 78 4.2.1 ํƒ์ƒ‰ ํšจ์œจ์„ฑ(Search efficiency) 78 4.2.2 ์ง€๊ฐ ํ˜ผ์žก๋„(Perceived clutter) 80 ์ œ 5 ์žฅ ๊ฒฐ ๋ก  86 5.1 ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ 86 5.2 ์—ฐ๊ตฌ์˜ ์˜๋ฏธ 87 5.3 ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์™€ ํ–ฅํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ ์ œ์‹œ 88์ฐธ๊ณ ๋ฌธํ—Œ90Abstract98Maste

    An informatics system for exploring eye movements in reading

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    Eye tracking techniques have been widely used in many research areas including cognitive science, psychology, human-computer interaction, marketing research, medical research etc. Many computer programs have emerged to help these researchers to design experiments, present visual stimuli and process the large quantity of numerical data produced by the eye tracker. However, most applications, especially commercial products, are designed for a particular tracking device and tend to be general purpose. Few of them are designed specifically for reading research. This can be inconvenient when dealing with complex experimental design, multi-source data collection, and text based data analysis, including almost every aspect of a reading study lifecycle. A flexible and powerful system that manages the lifecycle of different reading studies is required to fulfill these demands. Therefore, we created an informatics system with two major software suites: Experiment Executor and EyeMap. It is a system designed specifically for reading research. Experiment Executor helps reading researchers build complex experimental environments, which can rapidly present display changes and support the co-registration of eye tracking information with other data collection devices such as EEG (electroencephalography) amplifiers. The EyeMap component helps researchers visualize and analysis a wide range of writing systems including spaced and unspaced scripts, which can be presented in proportional or non-proportional font types. The aim of the system is to accelerate the life cycle of a reading experiment from design through analysis. Several experiments were conducted on this system. These experiments confirmed the effectiveness and the capability of the system with several new reading research findings from the visual information processing stages of reading

    Proceedings of the 2011 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

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    This book is a collection of 15 reviewed technical reports summarizing the presentations at the 2011 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. The covered topics include image processing, optical signal processing, visual inspection, pattern recognition and classification, human-machine interaction, world and situation modeling, autonomous system localization and mapping, information fusion, and trust propagation in sensor networks

    Hitzak sarean. Pello Salabururi esker onez

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    168 p.Hona hemen, irakurle, Pello Salaburu maisu handiari eskaintzen diogun esker on liburua. Hamaika lan bildu ditugu, hainbat alorretakoak: euskararen lexikografia, terminologia, historia, gramatika, corpus ikerketa eta baita euskara eta gaztelaniaren prozesamenduari buruzkoak ere. Askotarikoa izan baita, zalantza gabe, Salaburuk utzi digun uzta oparoa; hizkuntzalaritzan, euskararen fonologian, gramatikan, lexikografian aitzindari izan dugu, gramatika sortzailearen esparruan lehenik, gero corpus eta hiztegi digitalak sortuaz, gure hizkuntza hobeto ezagutzeko, zaintzeko eta erabiltzeko behar ditugun xxi. mendeko lanabesak eraikiaz eta gizartean zabalduaz. Salabururen uzta ikerketaz eta akademiaz harago zabaltzen da, gure gizarteak ezagutu dituen hainbat erronkatara. Pello ez da inoiz uzkurtu gogoeta egin behar izan denean, bakegintzaren bideari dagokiola edo unibertsitatearen etorkizunari, beldur gabe agertu izan zaigu beti plazan, argi mintzatuaz, zuzen, hitzen kiribiletan sekula bere burua ezkutatu gabe
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