2019
DOI: 10.1007/s10270-019-00742-z
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From analytical purposes to data visualizations: a decision process guided by a conceptual framework and eye tracking

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Cited by 5 publications
(3 citation statements)
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References 23 publications
(32 reference statements)
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“…In order to investigate the understandability of the proposed HBPR, the authors examined the distribution of attention on the different artifacts using a set of eye tracking fixation-based measures [88] including fixation count (i.e., number of fixations on specific area of the stimulus [86]) and total fixation duration. Furthermore, the authors identified the common reading patterns of participants following a process mining based approach proposed in [89]. With this regard, fixation data were converted to event logs, then a process discovery technique [49] was used to infer the implied attention maps.…”
Section: Empirical Evaluationmentioning
confidence: 99%
“…In order to investigate the understandability of the proposed HBPR, the authors examined the distribution of attention on the different artifacts using a set of eye tracking fixation-based measures [88] including fixation count (i.e., number of fixations on specific area of the stimulus [86]) and total fixation duration. Furthermore, the authors identified the common reading patterns of participants following a process mining based approach proposed in [89]. With this regard, fixation data were converted to event logs, then a process discovery technique [49] was used to infer the implied attention maps.…”
Section: Empirical Evaluationmentioning
confidence: 99%
“…In the context of this study, we deploy two visualizations: attention maps and scarf-plots. Attention maps [37] are aggrega-tion of fixations over time and/or over participants [23] and are often used as an alternative for transitions matrices to capture transitions between AOIs. Unlike transition matrices that emphasize only the spatial feature of AOIs [38], attention maps consider also the ordering dependencies between AOIs.…”
Section: Law Textmentioning
confidence: 99%
“…A reading pattern depicts how users switch between different software artifacts or parts thereof. In the literature, process mining has been used to extract reading patterns already [15]. However, in that case, the setting was very "rigid" and did not allow any interaction with the software artifacts, making the entire approach unsuitable to answer questions related to code understanding (which requires navigation over several files).…”
Section: Process Miningmentioning
confidence: 99%