{"_id":"8buAaJsLYdjPpRbu4","bibbaseid":"buettner-sauer-maier-eckhardt-towardsexantepredictionofuserperformanceanovelneuroismethodologybasedonrealtimemeasurementofmentaleffort-2015","downloads":0,"creationDate":"2017-12-28T15:54:43.044Z","title":"Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort","author_short":["Buettner, R.","Sauer, S.","Maier, C.","Eckhardt, A."],"year":2015,"bibtype":"inproceedings","biburl":"http://bibbase.org/zotero/nimdvir","bibdata":{"bibtype":"inproceedings","type":"inproceedings","address":"Hawaii","title":"Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort","shorttitle":"Towards Ex Ante Prediction of User Performance","doi":"10.1109/HICSS.2015.70","abstract":"We propose a methodology of an ex ante prediction of users' performance based on analyzing the pupillary diameter variability captured by ordinary eye-tracking systems. Based on a realistic large-scale experimental evaluation of our methodology we show promising results that pave the way for a dynamic real-time adaption of IT to the user's mental effort and the expected user performance. Our non-invasive contact-free methodology can be applied cost-efficiently both in research and practical environments, without disturbing the participant/user.","booktitle":"2015 48th Hawaii International Conference on System Sciences (HICSS)","author":[{"propositions":[],"lastnames":["Buettner"],"firstnames":["R."],"suffixes":[]},{"propositions":[],"lastnames":["Sauer"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Maier"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Eckhardt"],"firstnames":["A."],"suffixes":[]}],"month":"January","year":"2015","note":"00006","pages":"533--542","bibtex":"@inproceedings{buettner_towards_2015,\n\taddress = {Hawaii},\n\ttitle = {Towards {Ex} {Ante} {Prediction} of {User} {Performance}: {A} {Novel} {NeuroIS} {Methodology} {Based} on {Real}-{Time} {Measurement} of {Mental} {Effort}},\n\tshorttitle = {Towards {Ex} {Ante} {Prediction} of {User} {Performance}},\n\tdoi = {10.1109/HICSS.2015.70},\n\tabstract = {We propose a methodology of an ex ante prediction of users' performance based on analyzing the pupillary diameter variability captured by ordinary eye-tracking systems. Based on a realistic large-scale experimental evaluation of our methodology we show promising results that pave the way for a dynamic real-time adaption of IT to the user's mental effort and the expected user performance. Our non-invasive contact-free methodology can be applied cost-efficiently both in research and practical environments, without disturbing the participant/user.},\n\tbooktitle = {2015 48th {Hawaii} {International} {Conference} on {System} {Sciences} ({HICSS})},\n\tauthor = {Buettner, R. and Sauer, S. and Maier, C. and Eckhardt, A.},\n\tmonth = jan,\n\tyear = {2015},\n\tnote = {00006},\n\tpages = {533--542}\n}\n\n","author_short":["Buettner, R.","Sauer, S.","Maier, C.","Eckhardt, A."],"key":"buettner_towards_2015","id":"buettner_towards_2015","bibbaseid":"buettner-sauer-maier-eckhardt-towardsexantepredictionofuserperformanceanovelneuroismethodologybasedonrealtimemeasurementofmentaleffort-2015","role":"author","urls":{},"downloads":0,"html":""},"search_terms":["towards","ante","prediction","user","performance","novel","neurois","methodology","based","real","time","measurement","mental","effort","buettner","sauer","maier","eckhardt"],"keywords":[],"authorIDs":[],"dataSources":["ciBwinN9Eq8RkHS8Q"]}