Eye tracking data (Frequently Applied Designs)

Analyzing Behavioral Markers of Autistic Children Using Eye Tracking Data

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that occurs in the early years of life and is characterized by social impairment, verbal and non-verbal communication difficulties as well as stereotypical behaviors. Rehabilitating autistic children at the early stages of growth, in which their brain is highly flexible, yields to enhanced treatment process and provid...

Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects

Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were addressed by (1) developing dynamic areas of interests (AOIs) in the form of e...

Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data

Indoor tracking data is being amassed due to the deployment of indoor positioning technologies. Analysing such data discloses useful insights that are otherwise hard to obtain. For example, by studying tracking data from an airport, we can identify the shops and restaurants that are most popular among passengers. In this paper, we study two query types for finding frequently visited Points of I...

The 5 Scandinavian Workshop on Applied Eye Tracking

Automatically Detecting Reading in Eye Tracking Data

To date, more and more eye tracking based studies are conducted to investigate reading under natural conditions (e.g. long texts, texts embedded with pictures etc.) and to investigate the perception of every day stimuli containing text (e.g. web pages, newspapers). When the data of such studies are to be statistically analyzed, it is often necessary to know when subjects are actually reading. A...