Abstract
This course will provide an introduction to methods used in Human-Computer Interaction (HCI) research. An equal focus will be given to both the quantitative and qualitative research traditions used to understand people and interactional contexts. We shall discuss these major research traditions along with their contemporary framings (e.g., in-the-wild research and Interaction Science). By the end of the course attendees will have a detailed understanding of how to select and apply methods to address a range of problems that are of concern to contemporary HCI researchers.
Original language | English |
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Title of host publication | CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Explore, Innovate, Inspire |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1170-1173 |
Number of pages | 4 |
Volume | Part F127655 |
ISBN (Electronic) | 9781450346566 |
DOIs | |
Publication status | Published - 6 May 2017 |
Event | 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States Duration: 6 May 2017 → 11 May 2017 |
Conference
Conference | 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 |
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Country/Territory | United States |
City | Denver |
Period | 6/05/17 → 11/05/17 |
Keywords
- Empirical research
- Hci research methods
- Qualitative
- Quantitative