Science has played a key role in shaping and advancing research in Human-Computer Interaction (HCI). This talk will introduce attendees to quantitative research methods that are used to understand people and interactional contexts in HCI research. To keep things lively the course will use a mix of lectures and whole-class activities.
The session will focus on:
- The purpose and benefits of quantitative methods in HCI research
- Experimental design
- Analyses of quantitative data and inferential statistics
- Concerns about research validity
- Discussion of current themes within the HCI community
- Cairns, P., & Cox, A.L. (2008). Research Methods for Human-Computer Interaction. Cambridge University Press.
- Payne, S.J., & Howes, A. (2013). Adaptive Interaction: A Utility Maximization Approach to Understanding Human Interaction with Technology. Morgan & Claypool.
- Olson, J.S., & Kellogg, W.A. (2014). Ways of Knowing in HCI. Springer.
- Ritter, F.E., Kim, J.W., Morgan, J.H., & Carlson, R.A. (2013). Running Behavioral Studies with Human Participants: A Practical Guide. Sage.