Page 414 -
P. 414

404    CHAPTER 13  Measuring the human




                         Klingner, J., Kumar, R., Hanrahan, P., 2008. Measuring the task-evoked pupillary response
                           with  a remote  eye tracker.  In: Proceedings  of the  2008  Symposium on  Eye  Tracking
                           Research & Applications, Savannah, Georgia. ACM, New York, pp. 69–72.
                         Kocejko, T., Goforth, K., Moidu, K., Wtorek, J., 2015. Visual attention distribution based as-
                           sessment of user's skill in electronic medical record navigation. Journal of Medical Imaging
                           and Health Informatics 5, 951–958.
                         Krafka, K., Khosla, A., Kellnhofer, P., Kannan, H., Bhandarkar, S., Matusik, W., Torralba,
                           A., 2016. Eye tracking for everyone. In: IEEE Conference on Computer Vision and Pattern
                           Recognition (CVPR).
                         Krupinski, E.A., Tillack, A.A., Richter, L., Henderson, J.T., Bhattacharyya, A.K., Scott, K.M.,
                           Graham, A.R., Descour, M.R., Davis, J.R., Weinstein, R.S., 2006. Eye-movement study and
                           human performance using telepathology virtual slides: implications for medical education
                           and differences with experience. Human Pathology 37, 1543–1556.
                         Kumar, M., 2006. Reducing the Cost of Eye Tracking Systems. Stanford University Computer
                           Science Technical Report.
                         Kumar, M., Paepcke, A., Winograd, T., 2007. EyePoint: practical pointing and selection us-
                           ing gaze and keyboard. In: Proceedings of the SIGCHI Conference on Human Factors in
                           Computing Systems, San Jose, California, USA. ACM, New York, pp. 421–430.
                         Lee, J.C., Tan, D.S., 2006. Using a low-cost electroencephalograph for task classification
                           in HCI research. In: Proceedings of the 19th Annual ACM Symposium on User Interface
                           Software and Technology, Montreux, Switzerland. ACM, New York, pp. 81–90.
                         Lee, H., Lee, J., Seo, S., 2009. Brain response to good and bad design. In: Jacko, J.A. (Ed.), Human-
                           Computer Interaction. New Trends: 13th International Conference, HCI International 2009, San
                           Diego, CA, USA, July 19–24, 2009, Part I. Springer, Berlin, Heidelberg, pp. 111–120.
                         Lee, M.K., Kim, J., Forlizzi, J., Kiesler, S., 2015. Personalization revisited: a reflective ap-
                           proach helps people better personalize health services and motivates them to increase physi-
                           cal activity. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive
                           and Ubiquitous Computing, Osaka, Japan. ACM, New York, pp. 743–754.
                         Levin, G., Yarin, P., 1999. Bringing sketching tools to keychain computers with an acceleration-
                           based interface. In: CHI '99 Extended Abstracts on Human Factors in Computing Systems,
                           Pittsburgh, Pennsylvania. ACM, New York, pp. 268–269.
                         Liebling,  D.J., Dumais, S.T.,  2014. Gaze  and mouse  coordination  in everyday work.  In:
                           Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous
                           Computing Adjunct Publication, UbiComp '14 Adjunct, New York, NY, USA. ACM Press,
                           New York, pp. 1141–1150.
                         Lukanov, K., Maior, H.A., Wilson, M.L., 2016. Using fNIRS in usability testing: understand-
                           ing the effect of web form layout on mental workload. In: Proceedings of the 2016 CHI
                           Conference on Human Factors in Computing Systems, Santa Clara, California, USA. ACM,
                           New York, pp. 4011–4016.
                         Mahlke, S., Minge, M.,  Thüring, M., 2006. Measuring multiple components of emotions
                           in interactive contexts. In: CHI '06 Extended Abstracts on Human Factors in Computing
                           Systems, Montréal, Québec, Canada. ACM, New York, pp. 1061–1066.
                         Mandryk, R.L., Inkpen, K., 2004. Physiological indicators for the evaluation of co-located
                           collaborative play. In: Proceedings of the 2004 ACM Conference on Computer Supported
                           Cooperative Work, Chicago, Illinois, USA. ACM, New York, pp. 102–111.
                         Marshall, J., Linehan, C., Hazzard, A., 2016. Designing brutal multiplayer video games. In:
                           Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, Santa
                           Clara, California, USA. ACM, New York, pp. 2669–2680.
   409   410   411   412   413   414   415   416   417   418   419