Eye tracking y usabilidad en ambientes informacionales digitales: revisión teórica y propuesta de procedimiento de evaluación

Roa-Martínez, Sandra Milena; Vidotti, Silvana Aparecida Borsetti Gregório

doi:10.1590/1678-9865202032e190067

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Data can also be visualized as gaze maps, scan paths, gaze videos, swarm maps, heat maps, focus maps, etc. According to Sandra Milena et al [36], the aspects of usability evaluation that can be performed in digital information environments by eye tracking metrics primarily include search efficiency, interface quality, information visibility, and expectation flow.…”

Section: B Usability Methods Based On Eye Trackingmentioning

confidence: 99%

Investigating the User Experience of Mind Map Software: A Comparative Study based on Eye Tracking

Wang¹,

Wang²,

Lu³

et al. 2022

IJACSA

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Software for creating mind maps is currently prevalent, and it should have strong usability and create a good user experience. Usability testing can help to uncover flaws in software's usability and support its optimization. This paper took the mind map software "Xmind" and "MindMaster" as study cases and conducted comparative research on three aspects: effectiveness, efficiency, and satisfaction. The research investigated 20 participants' interactions with the two software. Task completion rate, number of errors, and number of requests for help were collected to evaluate the effectiveness. Eye tracking data and task completion time are collected to evaluate efficiency. System usability, interface quality, and emotional dimensions were collected with subjective scales to assess the software's user satisfaction. The data together led to a conclusion: each software has a few usability issues. The use of jargon to explain functions was costly to learn and quickly undermined users' confidence in using the software; the interface's simplicity impacted satisfaction, although users tended to evaluate utility tools in terms of their ease of use and ease of learning. These findings could be used to optimize utility software.

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Section: B Usability Methods Based On Eye Trackingmentioning

confidence: 99%

Investigating the User Experience of Mind Map Software: A Comparative Study based on Eye Tracking

Wang¹,

Wang²,

Lu³

et al. 2022

IJACSA

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Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data

Castilla

Catala

Pons

et al. 2023

User Model User-Adap Inter

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Eye-tracking techniques are widely used to analyze user behavior. While eye-trackers collect valuable quantitative data, the results are often described in a qualitative manner due to the lack of a model that interprets the gaze trajectories generated by routine tasks, such as reading or comparing two products. The aim of this work is to propose a new quantitative way to analyze gaze trajectories (scanpaths) using machine learning. We conducted a within-subjects study (N = 30) testing six different tasks that simulated specific user behaviors in web sites (attentional, comparing two images, reading in different contexts, and free surfing). We evaluated the scanpath results with three different classifiers (long short-term memory recurrent neural network—LSTM, random forest, and multilayer perceptron neural network—MLP) to discriminate between tasks. The results revealed that it is possible to classify and distinguish between the 6 different web behaviors proposed in this study based on the user’s scanpath. The classifier that achieved the best results was the LSTM, with a 95.7% accuracy. To the best of our knowledge, this is the first study to provide insight about MLP and LSTM classifiers to discriminate between tasks. In the discussion, we propose practical implications of the study results.

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Los focos de atención en las webs de turismo y su implicación en el seguimiento ocular

Analuiza¹,

Villavicencio²,

García³

2023

tursoc

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Este estudio proporciona una revisión de los focos de atención en las webs de viajes, alojamientos y restaurantes sobre la base del seguimiento ocular para medir el nivel de enraizamiento, densidad y coocurrencia de las categorías en las webs de turismo. Con base en la teoría fundamentada, se aplicó el método de comparación constante y el uso del software Atlas.ti como práctica analítica cualitativa. Tras la revisión, se define que las estructuras categóricas que más llaman la atención en los visitantes son las imágenes, la función de búsqueda y el texto; por su parte, el precio es el dato más sensible y el menos observado.

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Eye tracking y usabilidad en ambientes informacionales digitales: revisión teórica y propuesta de procedimiento de evaluación

Cited by 3 publications

References 15 publications

Investigating the User Experience of Mind Map Software: A Comparative Study based on Eye Tracking

Investigating the User Experience of Mind Map Software: A Comparative Study based on Eye Tracking

Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data

Los focos de atención en las webs de turismo y su implicación en el seguimiento ocular

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