Internet of Everything (IoE): Eye Tracking Data Analysis

Internet of Everything (IoE): Eye Tracking Data Analysis

Janet L. Holland (Emporia State University, USA) and Sungwoong Lee (Emporia State University, USA)
DOI: 10.4018/978-1-5225-7332-6.ch010

Abstract

The internet of everything (IoE) envelopes the internet of things (IoT) that was simply focusing primarily on machine-to-machine sensor-based smart device communications. The IoE expands to include people and processes in a much more comprehensive scope. The internet of everything is expanding our ability to collect massive amounts of data for comprehensive analysis to achieve a level of understanding not previously possible. Since the internet of everything (IoE) has such a strong focus on collecting and analyzing data using smart sensor-enabled devices, eye tracking data is a perfect match. Eye tracking and other biometric sensor-based data can be collected and analyzed locally in real time through fog/edge computing or cloud-based big data analytics.
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Key Terms in this Chapter

Fixation Time: The fixation time indicates the amount of time it takes a respondent (or all respondents on average) to look at a specific AOI from stimulus onset.

Fixation Sequence: A fixation sequence is based on fixation positions and timing to generate a fixation sequence representing the order of attention.

Saccades: Saccades are the eye movements between fixations.

Internet of Things (IoT): Refers to the things/devices connected to the Internet and each other.

Ratio: The ratio allows extracting information about how many respondents guided their gaze towards a specific area of interest.

Area of Interest (AOI): An area of interest refers to the select sub-regions of the displayed stimuli, to extract metrics.

Gaze Points: Gaze points show the elements of a stimulus the eyes are looking at.

Internet of Everything (IoE): Bringing together people, processes, data, and things using networked connections to increase knowledge and understanding for product and service innovations. In addition, two-way communications become possible and more complex with programmed actions as a result of the data collected and analyzed.

Fixation Count: The fixation count is the amount of fixation points within the area of interest.

Time to First Fixation (TFF): The time to first fixation indicates the amount of time it takes a respondent to look at a specific area of interest from stimulus onset.

Heat Map: A heat map is a visualization showing the general distribution of fixations and gaze points indicating attention. Red areas represent the highest number of gaze points, followed by yellow and green.

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