| 1. |
- Dewhurst, Richard, et al.
(author)
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How task demands influence scanpath similarity in a sequential number-search task
- 2018
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In: Vision Research. - : Elsevier BV. - 1878-5646 .- 0042-6989. ; , s. 9-23
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Journal article (peer-reviewed)abstract
- More and more researchers are considering the omnibus eye movement sequence—the scanpath—in their studies of visual and cognitive processing (e.g. Hayes, Petrov, & Sederberg, 2011; Madsen, Larson, Loschky, & Rebello, 2012; Ni et al., 2011; von der Malsburg & Vasishth, 2011). However, it remains unclear how recent methods for comparing scanpaths perform in experiments producing variable scanpaths, and whether these methods supplement more traditional analyses of individual oculomotor statistics. We address this problem for MultiMatch (Jarodzka et al., 2010; Dewhurst et al., 2012), evaluating its performance with a visual search-like task in which participants must fixate a series of target numbers in a prescribed order. This task should produce predictable sequences of fixations and thus provide a testing ground for scanpath measures. Task difficulty was manipulated by making the targets more or less visible through changes in font and the presence of distractors or visual noise. These changes in task demands led to slower search and more fixations. Importantly, they also resulted in a reduction in the between-subjects scanpath similarity, demonstrating that participants’ gaze patterns became more heterogenous in terms of saccade length and angle, and fixation position. This implies a divergent strategy or random component to eye-movement behaviour which increases as the task becomes more difficult. Interestingly, the duration of fixations along aligned vectors showed the opposite pattern, becoming more similar between observers in 2 of the 3 difficulty manipulations. This provides important information for vision scientists who may wish to use scanpath metrics to quantify variations in gaze across a spectrum of perceptual and cognitive tasks. © 2018 Elsevier Ltd
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| 2. |
- Dewhurst, Richard, et al.
(author)
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It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach
- 2012
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In: Behavior Research Methods. - : Springer Science and Business Media LLC. - 1554-3528.
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Journal article (peer-reviewed)abstract
- Eye movement sequences---or scanpaths---vary depending on stimulus characteristics and task (Foulsham \& Underwood, 2008; Land, Mennie, \& Rusted, 1999). Common methods for comparing scanpaths, however, are limited in their ability to capture both the spatial and temporal properties of which a scanpath consists. Here we validate a new method for scanpath comparison based on geometric vectors, which compares scanpaths over multiple dimensions retaining positional and sequential information (Jarodzka, Holmqvist, \& Nyström, 2010). `MultiMatch' was tested in two experiments and pitted against ScanMatch (Cristino, Mathôt, Theeuwes, \& Gilchrist, 2010), the most comprehensive adaptation of the popular Levenshtein method. Experiment 1 used synthetic data, demonstrating the greater sensitivity of MultiMatch to variations in spatial position. In experiment 2 real eye movement recordings were taken from participants viewing sequences of dots, designed to elicit scanpath pairs with commonalities known to be problematic for algorithms (for example, when one scanpath is shifted in locus, or fixations fall either side of an AOI boundary). Results illustrate the advantages of a multidimensional approach, revealing how two scanpath differ. For instance, if one scanpath is the reverse copy of another the difference is in direction but not the position of fixations; or if a scanpath is scaled down, the difference is in the length of saccadic vectors but not overall shape. As well as having enormous potential for any task in which consistency in eye movements is important (e.g. learning), MultiMatch is particularly relevant for "eye movements to nothing" in mental imagery research and embodiment of cognition, where satisfactory scanpath comparison algorithms are lacking.
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| 3. |
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| 4. |
- Foulsham, Thomas, et al.
(author)
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Comparing scanpaths during scene encoding and recognition: A multi-dimensional approach
- 2012
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In: Journal of Eye Movement Research. - 1995-8692. ; 5:4:3, s. 1-14
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Journal article (peer-reviewed)abstract
- Abstract in UndeterminedComplex stimuli and tasks elicit particular eye movement sequences. Previous research has focused on comparing between these scanpaths, particularly in memory and imagery research where it has been proposed that observers reproduce their eye movements when recognizing or imagining a stimulus. However, it is not clear whether scanpath similarity is related to memory performance and which particular aspects of the eye movements recur. We therefore compared eye movements in a picture memory task, using a recently proposed comparison method, MultiMatch, which quantifies scanpath similarity across multiple dimensions including shape and fixation duration. Scanpaths were more similar when the same participant's eye movements were compared from two viewings of the same image than between different images or different participants viewing the same image. In addition, fixation durations were similar within a participant and this similarity was associated with memory performance.
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| 5. |
- Holsanova, Jana, et al.
(author)
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Visualisering av ögonrörelser som stöd för motivation, metakognition och lärande
- 2014
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In: Vetenskapliga perspektiv på lärande, undervisning och utbildning i olika institutionella sammanhang : utbildningsvetenskaplig forskning vid Lunds universitet. - 9789174738629 ; , s. 369-380
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Book chapter (peer-reviewed)abstract
- Bidraget presenterar ett nytt pedagogiskt verktyg (EyeLearn) som baseras på ögonrörelsemätningsmetoden och används som stöd för motivation, metakognition och lärande. Genom visualiseringar av ögonrörelser kan man följa problemlösningsprocessen, ge stöd till lågpresterande elever, förbättra elevers metakognitiva förmågor och studieteknik, plocka fram exempel på framgångsrika och mindre framgångsrika strategier, motivera elever genom att engagera dem i jämförande diskussioner om alternativa lösningar samt anpassa digitala läromedel efter elevernas förmåga och preferens. Verktyget stödjer därmed interaktivitet, ger återkoppling till eleven, respekterar individernas lärstilar, erbjuder former av samarbete och stödjer metakognition.
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