Page 409 -
P. 409
References 399
REFERENCES
Aaltonen, A., Hyrskykari, A., Räihä, K.-J., 1998. 101 spots, or how do users read menus? In:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Los Angeles,
California, United States. ACM Press/Addison-Wesley Publishing Co., New York, pp. 132–139.
Afergan, D., 2014. Using brain-computer interfaces for implicit input. In: Proceedings of the
Adjunct Publication of the 27th Annual ACM Symposium on User Interface Software and
Technology, Honolulu, Hawaii, USA. ACM, New York, pp. 13–16.
Agustin, J.S., Skovsgaard, H., Mollenbach, E., Barret, M., Tall, M., Hansen, D.W., Hansen,
J.P., 2010. Evaluation of a low-cost open-source gaze tracker. In: Proceedings of the 2010
Symposium on Eye-Tracking Research and Applications, Austin, Texas. ACM, New York,
ISBN: 978-1-60558-994-7, pp. 77–80.
Albinali, F., Goodwin, M.S., Intille, S.S., 2009. Recognizing stereotypical motor movements
in the laboratory and classroom: a case study with children on the autism spectrum. In:
Proceedings of the 11th International Conference on Ubiquitous Computing, Orlando,
Florida, USA. ACM, New York, pp. 71–80.
Alkureishi, M.A., Lee, W.W., Lyons, M., Press, V.G., Imam, S., Nkansah-Amankra, A.,
Werner, D., Arora, V.M., 2016. Impact of electronic medical record use on the patient-
doctor relationship and communication: a systematic review. Journal of General Internal
Medicine 31 (5), 548–560.
Anderson, B.B., Kirwan, C.B., Jenkins, J.L., Eargle, D., Howard, S., Vance, A., 2015. How
polymorphic warnings reduce habituation in the brain: insights from an fMRI study.
In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing
Systems, Seoul, Republic of Korea. ACM, New York, pp. 2883–2892.
Arteaga, S., Chevalier, J., Coile, A., Hill, A.W., Sali, S., Sudhakhrisnan, S., Kurniawan, S.H.,
2008. Low-cost accelerometry-based posture monitoring system for stroke survivors. In:
Proceedings of the 10th International ACM SIGACCESS Conference on Computers and
Accessibility, Halifax, Nova Scotia, Canada. ACM, New York, pp. 243–244.
Asan, O., Montague, E., 2014. Technology-mediated information sharing between patients
and clinicians in primary care encounters. Behaviour & Information Technology 33 (3),
259–270.
Ball, R., North, C.N., Bowman, D.A., 2007. Move to improve: promoting physical navi-
gation to increase user performance with large displays. In: Proceedings of the SIGCHI
Conference on Human Factors in Computing Systems, San Jose, California, USA. ACM,
New York, pp. 191–200.
Barreto, A., Gao, Y., Adjouadi, M., 2008. Pupil diameter measurements: untapped potential to
enhance computer interaction for eye tracker users? In: Proceedings of the 10th International
ACM SIGACCESS Conference on Computers and Accessibility, Halifax, Nova Scotia,
Canada. ACM, New York, pp. 269–270.
Bass, S.B., Gordon, T.F., Gordon, R., Parvanta, C., 2016. Using eye tracking and gaze pattern
analysis to test a “dirty bomb” decision aid in a pilot RCT in urban adults with limited lit-
eracy. BMC Medical Informatics and Decision Making 16 (1), 1–13.
Bergstrom, J.R., Schall, A., 2014. Eye Tracking in User Experience Design. Morgan
Kaufmann, Amsterdam.
Berka, C., Levendowski, D.J., Cvetinovic, M.M., Petrovic, M.M., Davis, G., Lumicao, M.N.,
Zivkovic, V.T., Popovic, M.V., Olmstead, R., 2004. Real-time analysis of EEG indexes
of alertness, cognition, and memory acquired with a wireless EEG headset. International
Journal of Human–Computer Interaction 17 (2), 151–170.

