Jodi Forlizzi

Geschke Director and Professor

Predicting human interruptibility with sensors


Journal article


James Fogarty, Scott E. Hudson, Christopher G. Atkeson, Daniel Avrahami, Jodi Forlizzi, Sara B. Kiesler, Johnny C. Lee, Jie Yang
ACM Transactions on Computer-Human Interaction, vol. 12(1), 2005 Jan 28, pp. 119-146

Cite

Cite

APA   Click to copy
Fogarty, J., Hudson, S. E., Atkeson, C. G., Avrahami, D., Forlizzi, J., Kiesler, S. B., … Yang, J. (2005). Predicting human interruptibility with sensors. ACM Transactions on Computer-Human Interaction, 12(1), 119–146.


Chicago/Turabian   Click to copy
Fogarty, James, Scott E. Hudson, Christopher G. Atkeson, Daniel Avrahami, Jodi Forlizzi, Sara B. Kiesler, Johnny C. Lee, and Jie Yang. “Predicting Human Interruptibility with Sensors.” ACM Transactions on Computer-Human Interaction 12, no. 1 (January 28, 2005): 119–146.


MLA   Click to copy
Fogarty, James, et al. “Predicting Human Interruptibility with Sensors.” ACM Transactions on Computer-Human Interaction, vol. 12, no. 1, Jan. 2005, pp. 119–46.


BibTeX   Click to copy

@article{james2005a,
  title = {Predicting human interruptibility with sensors},
  year = {2005},
  month = jan,
  day = {28},
  issue = {1},
  journal = {ACM Transactions on Computer-Human Interaction},
  pages = {119-146},
  volume = {12},
  author = {Fogarty, James and Hudson, Scott E. and Atkeson, Christopher G. and Avrahami, Daniel and Forlizzi, Jodi and Kiesler, Sara B. and Lee, Johnny C. and Yang, Jie},
  month_numeric = {1}
}