Human Computer Interaction course at the University of Utah. This repo contains the activities completed during the course.
Research Question: How do personalized recommender systems affect human behavior with respect to trust and safety according to user perception across different platforms?
Methods used: Online Surveys (Amazon MTurks) & Interviews
Team: Vishva Desai, Khawar Murad Ahmed & Thomas Greger
This project is an attempt to find out more about how users percieve recommendation systems with regards to trust & safety.
PPT presented in class for the research paper.
3. Interviews
Interviews conducted for the research project on 6 participants.
Online Survey report for the research project.
Survey compiled using Qualtrics and deployed using Amazon MTurks.
5. Think Aloud
Think aloud protocols consist of observing a user working with an interface while encouraging them to "think-aloud"; to say what they are thinking and wondering at each moment. Another way to put it would be; making Observations as the user vocalizes their actions.
Reference: Boren and Ramsey's Thinking Aloud: reconciling theory and practice
Heuristic evaluation is a method where people use a set of heuristics, frequently design principles, to identify strengths and potential problems of a user interface or interaction. Heuristic evaluations can be performed by members of the design team or by outside experts. Typically multiple (3-5) people perform the evaluation of the interface individually and then synthesize their results into a single report.
Reference: Jakob Nielsen's design principles.