These resources are meant to make life easier for students doing and writing about design / computer science / interaction design (IxD) / human-computer interaction (HCI) research. More specifically, they are intended for students working with me on such projects: I frequently refer to things covered in these resources, so they form a common ground on which we can communicate easily.
Scott Klemmer’s HCI/IxD courses on Coursera / Coursera Interaction Design Specialization
A series of videos providing an extremely clear and coherent introduction to the topics, methods, and terminology of HCI/IxD. An excellent starting point for HCI/IxD students.
Philip Guo's articles on CS and HCI research experiences
A trove of well-written, insightful commentary on how to thrive doing CS and HCI research as a PhD student, postdoc, and faculty.
How to Start a Startup by Sam Altman
Many ideas covered in this class are extremely helpful for designing and running any kind of project, not just commercial tech startups.
Examples of (mostly software) projects dealing with "information that a person does not know, but can access as needed using technology" - AR/VR, computer graphics, data visualization, machine learning, digital arts, novel user interfaces, etc.
Constantly up-to-date overview on technology-related news (and olds). Easy to get lost in, but a once-daily skim provides a good dose of much-needed perspective.
A wealth of online courses on many topics. The introductory computer science courses have been particularly invaluable for me.
Frayling (1993). Research in Art and Design. Royal College of Art Research Papers, 1:1.
Myers, Hudson, & Pausch (2000). Past, present, and future of user interface software tools. ACM TOCHI, 7:1.
Fallman, D. (2003). Design-oriented Human-Computer Interaction. In Proc. CHI.
Ko, Myers, & Aung (2004). Six learning barriers in end-user programming systems. In Proc. VLHCC.
Zimmerman, Forlizzi, & Evenson (2007). Research through design as a method for interaction design research in HCI. In Proc. CHI.
Olsen (2007). Evaluating user interface systems research. In Proc. UIST.
Greenberg & Buxton (2008). Usability evaluation considered harmful (some of the time). In Proc. CHI.
Blevis & Stolterman (2009). Transcending Disciplinary Boundaries in Interaction Design. interactions, 16:5.
Wobbrock & Kientz (2016). Research contributions in human-computer interaction. interactions, 23:3.
Oulasvirta & Hornbæk (2016). HCI Research as Problem-Solving. In Proc. CHI.
Blackwell, Blythe, & Kaye (2017). Undisciplined disciples: everything you always wanted to know about ethnomethodology but were afraid to ask Yoda. Personal and Ubiquitous Computing, 21:3.
Lucero (2018). Living Without a Mobile Phone: An Autoethnography. In Proc. DIS.
Interaction Design by Preece, Sharp & Rogers
A fine introductory textbook for newcomers. Explains many common HCI/IxD concepts concisely. Use this as a first reference when trying to decipher HCI/IxD papers.
The Human Computer Interaction Handbook by Jacko
A more comprehensive, detailed reference book on concepts and methods in HCI/IxD research. Make sure to read the relevant chapters in this book before you start an HCI research project on a specific topic, and especially before you decide on and implement a specific method.
The Design of Everyday Things by Norman
Sketching User Experiences by Buxton
Human-Computer Interaction: An Empirical Research Perspective by MacKenzie
The Scientist and Engineer's Guide to Digital Signal Processing (free e-book) by Smith
Hacker Tools (open MIT course)
Chalmers University of Technology, 2017 Fall
The slides used in my lectures can be downloaded from the links below. Please note that the slides are meant to accompany the talk and not function by themselves, and much of the visual content has been removed and replaced with links due to file size and intellectual property considerations. As such, these files are intended as a resource/reminder for students who have already attended the lectures. They are not meant to be useful in themselves.
Koç University, 2016 Spring
Instructions and resources for labs and assignments can be found on GitHub at mbaytas/MAVA337Labs.