An Investigation of Metrics for the In Situ Detection of Software Expertise
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore an innovative approach to detecting software expertise through in situ usage metrics in this 21-minute conference talk from the CHI '16 ACM Conference on Human Factors in Computing Systems. Delve into the research conducted by Tovi Grossman and George Fitzmaurice, which investigates the feasibility of automatically inferring user expertise levels based on real-world usage patterns. Learn about potential usage metrics indicative of expertise, the study methodology involving logging software in participants' workplaces, and the subsequent laboratory task-based assessments. Discover the significant correlations found between in situ usage logs and traditional expertise evaluations, and consider the implications for future software applications in measuring and leveraging user expertise knowledge.
Syllabus
Intro
Research Background
Working Definition
Classification
Methods
Institute Results
Taught by
ACM SIGCHI
Related Courses
User Experience for the WebOpen2Study Mobile Application Experiences Part 1: From a Domain to an App Idea
Massachusetts Institute of Technology via edX UX-Design for Business
Fraunhofer IESE via Independent User Experience (UX) Design: Human Factors and Culture in Design | 设计的人因与文化
Tsinghua University via edX Introduction to User Experience Design
Georgia Institute of Technology via Coursera