Jodi Forlizzi

Geschke Director and Professor

Predicting human interruptibility with sensors: a Wizard of Oz feasibility study


Journal article


Scott E. Hudson, James Fogarty, Christopher G. Atkeson, Daniel Avrahami, Jodi Forlizzi, Sara B. Kiesler, Johnny C. Lee, Jie Yang
chi, Human Factors in Computing Systems, 2003 Mar 4, pp. 257-264

Cite

Cite

APA   Click to copy
Hudson, S. E., Fogarty, J., Atkeson, C. G., Avrahami, D., Forlizzi, J., Kiesler, S. B., … Yang, J. (2003). Predicting human interruptibility with sensors: a Wizard of Oz feasibility study. Human Factors in Computing Systems, 257–264.


Chicago/Turabian   Click to copy
Hudson, Scott E., James Fogarty, Christopher G. Atkeson, Daniel Avrahami, Jodi Forlizzi, Sara B. Kiesler, Johnny C. Lee, and Jie Yang. “Predicting Human Interruptibility with Sensors: a Wizard of Oz Feasibility Study.” Human Factors in Computing Systems (March 4, 2003): 257–264.


MLA   Click to copy
Hudson, Scott E., et al. “Predicting Human Interruptibility with Sensors: a Wizard of Oz Feasibility Study.” Human Factors in Computing Systems, Mar. 2003, pp. 257–64.


BibTeX   Click to copy

@article{scott2003a,
  title = {Predicting human interruptibility with sensors: a Wizard of Oz feasibility study},
  year = {2003},
  month = mar,
  day = {4},
  journal = {Human Factors in Computing Systems},
  pages = {257-264},
  author = {Hudson, Scott E. and Fogarty, James and Atkeson, Christopher G. and Avrahami, Daniel and Forlizzi, Jodi and Kiesler, Sara B. and Lee, Johnny C. and Yang, Jie},
  booktitle = {chi},
  month_numeric = {3}
}