Human Factors
In order to make it easier for you to prepare the course and look up issues that were not clear after class, I have decided to base the course around a single, easily accessible textbook, that is relatively inexpensive in ebook format:
In addition to the relevant chapters from the book, each week will feature 2 core papers and resources, plus 1-2 supplementary readings for students who have already taken CDI1 or HCI.
I strongly encourage everyone to use the openly accessible materials for both courses as supplementary materials. Links: HCI ; Case Studies for Design Informatics 1.
- Week 1: Introduction to Human Factors: Ritter/Baxter/Churchill, Chapters 1 & 2
- Week 2.1: Perception and Behaviour: Ritter/Baxter/Churchill, Chapter 4
- Week 2.2: Memory and Cognition: Ritter/Baxter/Churchill, Chapters 5, 6.1-6.3
- Week 3.1: Usability Assessment Techniques: Ritter/Baxter/Churchill, Chapter 13
- Week 3.2: Descriptive Statistics. Not covered by textbook
- Week 4.1: Computer-Supported Cooperative Work: Ritter/Baxter/Churchill, Chapter 8. REMOTE.
- Week 4.2: Errors: Ritter/Baxter/Churchill, Chapter 10
- Week 5.1: Social Aspects/Student led
- Week 5.2: Accessibility: Ritter/Baxter/Churchill, Chapter 3
Visualisation
There is one paper for almost every session (twice a week). Try to understand as much as possible from the papers as the lecture assumes you have done so. You will be able to find the papers via the library or online for free.
- Session 6.1 (Foundations of Vis): Carpendale, M. Sheelagh T. “Considering visual variables as a basis for information visualisation.” (2003).
- Session 6.2 (Tasks and Scenarios): Amar, Robert, James Eagan, and John Stasko. “Low-level components of analytic activity in information visualization.” In Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on, pp. 111-117. IEEE, 2005.
- Session 7.1 (Vis techniques 2): Shneiderman, Ben. “The eyes have it: A task by data type taxonomy for information visualizations.” In Visual Languages, 1996. Proceedings., IEEE Symposium on, pp. 336-343. IEEE, 1996.
- Session 7.2 (Design): Pandey, Anshul Vikram, Katharina Rall, Margaret L. Satterthwaite, Oded Nov, and Enrico Bertini. “How deceptive are deceptive visualizations?: An empirical analysis of common distortion techniques.” In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 1469-1478. ACM, 2015.
- Session 8.2 (Presentation and Storytelling): Segel, Edward, and Jeffrey Heer. “Narrative visualization: Telling stories with data.” IEEE transactions on visualization and computer graphics 16, no. 6 (2010): 1139-1148.
- Session 9.1 (Interaction): Yi, Ji Soo, Youn ah Kang, John T. Stasko, and Julie A. Jacko. “Toward a deeper understanding of the role of interaction in information visualization.” IEEE Transactions on Visualization & Computer Graphics 6 (2007).
- Session 10.1 (Evaluation): Lam, Heidi, Enrico Bertini, Petra Isenberg, Catherine Plaisant, and Sheelagh Carpendale. “Empirical studies in information visualization: Seven scenarios.” IEEE transactions on visualization and computer graphics 18, no. 9 (2012): 1520-1536. PDF
Supporting books (not required though): https://vishubblog.wordpress.com/books/