CS295J/Class Members' Pages/Andrew Bragdon/acb-Week 1

Andrew Bragdon's Contributions to Week 1

OWNER:

HCI- Mult-tasking

Empirical study of how information workers spend their time. Puts forward a theory of how users organize small individual tasks into "working spheres."

González, V. M. and Mark, G. 2004. "Constant, constant, multi-tasking craziness": managing multiple working spheres. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Vienna, Austria, April 24 - 29, 2004). CHI '04. ACM, New York, NY, 113-120. DOI= http://doi.acm.org/10.1145/985692.985707

DISCUSSANT:

• Perceptual causality and animacy Scholl-2000-PCA

Discusses some of the automatic interpretation in our perception, focusing on inferring causal relations and animacy. (Andrew Bragdon - discussant)

• Implicit Human Computer Interaction Through Context Schmidtt-2000-IHC

A highly cited paper discussing the notion of implicit HCI, including semantic grouping of interactions, and some perceptual rules. (Andrew Bragdon - discussant)

Posted:

HCI - Marking Menus

Marking menus naturally facillitate the transition from novice to expert performance for command invocation, and have been quite influential over the years to research into menu techniques.

Kurtenbach, G. and Buxton, W. 1993. The limits of expert performance using hierarchic marking menus. In Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems (Amsterdam, The Netherlands, April 24 - 29, 1993). CHI '93. ACM, New York, NY, 482-487. DOI= http://doi.acm.org/10.1145/169059.169426

Kurtenbach, G., Sellen, A. & Buxton, W. (1993) An empirical evaluation of some articulatory and cognitive aspects of "marking menus". Journal of Human Computer Interaction, Volume 8, Number 1

HCI- Chunking and Phrasing

Buxton, W. (1986). Chunking and Phrasing and the Design of Human-Computer Dialogues, Proceedings of the IFIP World Computer Congress, Dublin, Ireland, 475-480.

HCI- Polson's CE+ Model

This is a cognitive model of how users find and learn commands in an unfamiliar user interface. This could potentially be adapted to be a piece of a theory of visualization.

Polson, P. and Lewis, C. Theory-Based Design for Easily Learned Interfaces. Human-Computer Interaction, 5, 2 (June 1990), 191-220.

HCI- Manual and gaze input cascaded

This is an exciting system which combines gaze input (coarse-grained) and mouse input (fine-grained) to quickly target items. This is important because it "kind of" gets around Fitt's law by using gaze input to "warp" the cursor to the general vicinity of what the user wants to work on.

Zhai, S., Morimoto, C., and Ihde, S. 1999. Manual and gaze input cascaded (MAGIC) pointing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: the CHI Is the Limit (Pittsburgh, Pennsylvania, United States, May 15 - 20, 1999). CHI '99. ACM, New York, NY, 246-253. DOI= http://doi.acm.org/10.1145/302979.303053

HCI- Attention

Presents task models of user attention.

Adamczyk, P. D. and Bailey, B. P. 2004. If not now, when?: the effects of interruption at different moments within task execution. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Vienna, Austria, April 24 - 29, 2004). CHI '04. ACM, New York, NY, 271-278. DOI= http://doi.acm.org/10.1145/985692.985727