Empirical research methods for human-computer interaction

TL;DR

This paper provides a comprehensive overview of empirical research methods in human-computer interaction, emphasizing experiment design, data analysis, and effective communication for CHI conference submissions.

Contribution

It introduces practical techniques for designing, conducting, analyzing, and reporting experiments in human-computer interaction research.

Findings

Participants gain hands-on experience in conducting experiments.

Guidelines for organizing and analyzing experimental data.

Strategies for writing and presenting CHI papers.

Abstract

Most attendees at CHI conferences will agree that an experiment (user study) is the hallmark of good research in human-computer interaction. But what constitutes an experiment? And how does one go from an experiment to a CHI paper? This course will teach how to pose testable research questions, how to make and measure observations, and how to design and conduct an experiment. Specifically, attendees will participate in a real experiment to gain experience as both an investigator and as a participant. The second session covers the statistical tools typically used to analyze data. Most notably, attendees will learn how to organize experiment results and write a CHI paper.