A method for quantifying focused versus overview behavior in AOI sequences

Holmqvist, Kenneth; Andrà, Chiara; Lindström, Paulina; Arzarello, Ferdinando; Ferrara, Francesca; Robutti, Ornella; Sabena, Cristina

doi:10.3758/s13428-011-0104-x

Cited by 17 publications

(27 citation statements)

References 13 publications

(20 reference statements)

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“…Third, an area of interest (AOI) analysis [65] was used to assess product ease of use. Eye-tracking data showed how long a participant's gaze focused on a given user interface element; that is, the dwell time on an AOI.…”

Section: Methodsmentioning

confidence: 99%

Toward a new age of patient centricity? The application of eye-tracking to the development of connected self-injection systems

Lohmeyer

Schneider

Jordi

et al. 2019

Expert Opinion on Drug Delivery

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Background: Increasing interest in digitally enhanced drug delivery tools urges both industry and academia to rethink current approaches to product usability testing. This article introduces mobile eyetracking, generating detailed contextual data about user engagement with connected self-injection systems as a new methodological approach to formative usability assessment. Methods: A longitudinal case study with a total of 35 injection-naïve participants was conducted. In three consecutive experiments, eye-tracking was applied to formative usability testing of a novel connected self-injection device. Three eye-tracking derived usability indicators were established to assess product effectiveness, efficiency, and ease of use. Results: Analysis of the data revealed events of user hesitation, process interruption and unintended action, and these occurrences could either be completely eliminated or significantly reduced throughout the process (product effectiveness). At the same time, the overall use duration decreased from 86.1 to 58.7 sec (product efficiency). Analysis revealed that product modifications successfully guided user attention to those interface elements most relevant during each task, thereby improving product easeof-use. Conclusions: The step-wise improvement in the usability indicators demonstrates that iteratively applying eye-tracking methods effectively supports the user-centered design of connected selfinjection systems. The results highlight how eye-tracking can be employed to gain an in-depth understanding of patient engagement with novel healthcare technologies. ARTICLE HISTORY

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Section: Methodsmentioning

confidence: 99%

Toward a new age of patient centricity? The application of eye-tracking to the development of connected self-injection systems

Lohmeyer

Schneider

Jordi

et al. 2019

Expert Opinion on Drug Delivery

View full text Add to dashboard Cite

show abstract

“…This POR is considered a proxy for visual attention in practical, real-world situations and is associated both with the cognitive information processing of attendedto locations as well as the motivational process involved in selection of PORs (Kowler, 1990). Modern ET relies primarily upon video oculographic techniques which (as compared to other ET techniques, such as scleral coils) are non-invasive, highly tolerable, robust to movement, and can provide quantitative data on looking patterns at less than a degree of visual angle and with millisecond timing (Duchowski, 2007;Holmqvist et al, 2011;Shic, 2016). In autism research, the use of ET has matured, expanded, and seen widespread adoption over the past decade, and may offer a feasible early-efficacy biomarker in clinical trials (Dawson et al, 2012;Murias et al, 2017).…”

Section: Eye Trackingmentioning

confidence: 99%

Biomarker Acquisition and Quality Control for Multi-Site Studies: The Autism Biomarkers Consortium for Clinical Trials

Shic

Murias

Sugar

et al. 2020

Front. Integr. Neurosci.

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The objective of the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) is to evaluate a set of lab-based behavioral video tracking (VT), electroencephalography (EEG), and eye tracking (ET) measures for use in clinical trials with children with autism spectrum disorder (ASD). Within the larger organizational structure of the ABC-CT, the Data Acquisition and Analytic Core (DAAC) oversees the standardization of VT, EEG, and ET data acquisition, data processing, and data analysis. This includes designing and documenting data acquisition and analytic protocols and manuals; facilitating site training in acquisition; data acquisition quality control (QC); derivation and validation of dependent variables (DVs); and analytic deliverables including preparation of data for submission to the National Database for Autism Research (NDAR). To oversee consistent application of scientific standards and methodological rigor for data acquisition, processing, and analytics, we developed standard operating procedures that reflect the logistical needs of multi-site research, and the need for well-articulated, transparent processes that can be implemented in future clinical trials. This report details the methodology of the ABC-CT related to acquisition and QC in our Feasibility and Main Study phases. Based on our acquisition metrics from a preplanned interim analysis, we report high levels of acquisition success utilizing VT, EEG, and ET experiments in a relatively large sample of children with ASD and typical development (TD), with data acquired across multiple sites and use of a manualized training and acquisition protocol.

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“…Scanpath theory has been used successfully in studying complex cognitive tasks, such as mathematical problem solving (Holmqvist et al, 2011a), natural scene viewing (Bradley, Houbova, Miccoli, Costa, & Lang, 2011), affective picture viewing (Ni et al, 2011), reading (Engbert & Kliegl, 2001;X. Li, Logan, & Zbrodoff, 2010), the viewing of advertisements (Pieters et al, 1999), and multi-attribute decision making (Day, 2010).…”

Section: Scanpath Analysis Of Eye Movementsmentioning

confidence: 99%

A Scanpath Analysis of the Risky Decision‐Making Process

Zhou

Zhang

Wang

et al. 2016

Behavioral Decision Making

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In the field of eye tracking, scanpath analysis can reflect the sequential and temporal properties of the cognitive process. However, the advantages of scanpath analysis have not yet been utilized in the study of risky decision making. We explored the methodological applicability of scanpath analysis to test models of risky decision making by analyzing published data from the eye‐tracking studies of Su et al. (2013); Wang and Li (2012), and Sun, Rao, Zhou, and Li (2014). These studies used a proportion task, an outcome‐matched presentation condition, and a multiple‐play condition as the baseline for comparison with information search and processing in the risky decision‐making condition. We found that (i) the similarity scores of the intra‐conditions were significantly higher than those of the inter‐condition; (ii) the scanpaths of the two conditions were separable; and (iii) based on an inspection of typical trials, the patterns of the scanpaths differed between the two conditions. These findings suggest that scanpath analysis is reliable and valid for examining the process of risky decision making. In line with the findings of the three original studies, our results indicate that risky decision making is unlikely to be based on a weighting and summing process, as hypothesized by the family of expectation models. The findings highlight a new methodological direction for research on decision making. Copyright © 2016 John Wiley & Sons, Ltd.

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A method for quantifying focused versus overview behavior in AOI sequences

Cited by 17 publications

References 13 publications

Toward a new age of patient centricity? The application of eye-tracking to the development of connected self-injection systems

Toward a new age of patient centricity? The application of eye-tracking to the development of connected self-injection systems

Biomarker Acquisition and Quality Control for Multi-Site Studies: The Autism Biomarkers Consortium for Clinical Trials

A Scanpath Analysis of the Risky Decision‐Making Process

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