ohmage<\/a>).<\/li>\n<\/ul>\nAn older version of the PVT-Touch code is available upon request, but is not the version that has been validated, and does not support the features listed above.<\/em><\/p>\nPeople<\/h2>\n
Matthew Kay
\nNathaniel Watson
\nMichael Grandner
\nJared Bauer
\nKyle Rector
\nJacob Wobbrock
\nBen Greenstein
\nSunny Consolvo
\nRebecca Lang
\nJulie Kientz<\/p>\n
Publications<\/h2>\n\n- Kay, M., Grandner, M., Bauer, J.S., Lang, R., Watson, N.F., and Kientz, J.A. (2013). Initial validation of an Android-based psychomotor vigilance task, in Sleep 36: Abstract supplement, A108.<\/li>\n
- Kay, M., Rector, K., Consolvo, S., Greenstein, B., Wobbrock, J. O., Watson, N. F., & Kientz, J. A. (2013, May). PVT-touch: adapting a reaction time test for touchscreen devices. In 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops (pp. 248-251). IEEE.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
PVT-Touch is a touchscreen version of PVT implemented on Android. We have evaluated four different touchscreen input techniques for PVT and found that for smartphone\u00a0users, the familiar touch down technique is comparable to the physical button used in traditional PVT for several measures associated with sleepiness and was preferred by a majority of participants. We […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":67,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-173","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/pages\/173","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/comments?post=173"}],"version-history":[{"count":5,"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/pages\/173\/revisions"}],"predecessor-version":[{"id":369,"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/pages\/173\/revisions\/369"}],"up":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/pages\/67"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/chilllab\/wp-json\/wp\/v2\/media?parent=173"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"pvttouch1\"](\"http:\/\/depts.washington.edu\/chilllab\/wordpress\/wp-content\/uploads\/2016\/07\/pvttouch1.png\")
PVT-Touch is a touchscreen version of PVT implemented on Android. We have evaluated four different touchscreen input techniques for PVT and found that for smartphone\u00a0users, the familiar touch down technique is comparable to the physical button used in traditional PVT for several measures associated with sleepiness and was preferred by a majority of participants. We have\u00a0also conducted an initial validation study of PVT-Touch against PVT-192, finding a high correlation in scores (r=0.902). This work was funded by the former Intel Labs Seattle and the National Science Foundation.<\/p>\n