Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera

Eye Tracking the User Experience: From Design to Analysis

Packt via Coursera

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Eye tracking plays a crucial role in understanding how users interact with digital interfaces. By analyzing eye movement patterns, this course equips learners with the skills to enhance user experience design through effective tracking methods. Eye tracking helps identify areas where users focus most, offering insights into interface usability, improving product design, and boosting user satisfaction. Throughout the course, learners will gain hands-on experience with eye trackers, understand how to integrate eye tracking with other research methods, and analyze data to optimize user interfaces. You'll also delve into key concepts such as verbal protocols, visualization techniques, and data analysis methods that will sharpen your design instincts. What sets this course apart is its practical, real-world approach. We combine theoretical foundations of eye tracking with the application of actual tracking systems to ensure learners are ready to apply their knowledge in live projects. The course includes various case studies, helping you translate data into actionable insights. Ideal for UX designers, researchers, and product developers, this course is designed for those eager to elevate user interaction analysis in their work. While no prior experience with eye tracking is necessary, a basic understanding of UX principles is beneficial. Copyright @2013 Aga Bojko. All rights reserved. Originally published by Rosenfeld Media, LLC. This course edition is published by Packt Publishing under license from Rosenfeld Media LLC. No part of this material may be reproduced, distributed, or transmitted in any form or by any means - electronic, mechanical, photocopying, recording, or otherwise - without prior written permission from the author or the publisher.

Syllabus

  • Eye Tracking: What's All the Hoopla?
    • In this section, we clarify eye tracking for UX, detailing fixations, saccades, and usage motives, then assess when disciplined gaze analysis meaningfully enhances research outcomes and design decisions.
  • To Track or Not to Track
    • In this section, we assess when eye-tracking meaningfully augments UX research, contrast qualitative insight versus quantitative metrics, and prioritize the simplest evidence-based method for convincing stakeholders.
  • Eye Trackers and Other Necessary Resources
    • In this section, we compare remote and wearable eye trackers, translate specs like sampling rate and accuracy into actionable UX insights, and plan cost-effective equipment or outsourcing supporting multi-location studies.
  • Time to Roll Up the Sleeves
    • In this section, we transform curiosity into testable eye-tracking research questions, align stimulus fidelity with task goals, and implement balanced within- or between-subjects designs that control sequence and sampling effects.
  • Combining Eye Tracking with Other Methods
    • In this section, we will combine eye tracking with behavioural analytics and interviews, using fixation duration to verify usability scores and turning gaze patterns into insights on comprehension, memory and clicks.
  • Verbal Protocols and Eye Tracking
    • In this section, we contrast CVP and RVP for UX eye-tracking, evaluate gaze-cued memory aids, and demonstrate targeted probing to balance reliable gaze metrics with rich qualitative user insights.
  • Eye Tracking Measures
    • In this section, we will learn to select eye-tracking metrics, separate attraction and performance measures, and organise area-of-interest data into user-experience insights for evidence-based design.
  • No Participants, No Study
    • In this section, we identify trackability constraints like corrective eyewear, screen participants, and apply probability and inferential statistics to determine efficient sample sizes for formative and summative eye-tracking studies.
  • It's Tracking Time!
    • In this section, we will design distraction-free eye-tracking labs, pilot tasks, calibrate cameras, monitor sessions live, and log anomalies to secure reliable gaze data that drives sound user experience decisions.
  • Data Extraction and Preparation
    • In this section, we prepare eye-tracking datasets by setting robust fixation criteria, crafting optimal AOIs, exporting measures, and cleansing anomalies, laying groundwork for trustworthy quantitative or qualitative analysis.
  • Eye Tracking Data Visualizations
    • In this section, we will explore gaze plots, heatmaps, and dynamic heatmaps while mastering customization, spotting usability issues, and conveying user experience research insights with persuasive eye tracking imagery.
  • Qualitative Data Analysis
    • In this section, we will interpret fixation maps and scanpaths to classify search outcomes, pinpoint perception or comprehension failures, and generate clear, actionable user-experience recommendations.
  • Quantitative Data Analysis
    • In this section, we will learn to choose eye tracking metrics, apply inferential statistics, and design clear graphs with confidence intervals for compelling quantitative user experience reports.

Taught by

Packt - Course Instructors

Reviews

Start your review of Eye Tracking the User Experience: From Design to Analysis

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.