Evaluating distraction of in-vehicle information systems while driving by predicting total eyes-off-road times with keystroke level modeling
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- 作者：Christian Puruckera ; purucker@wivw.de" class="auth_mail" title="E-mail the corresponding author ; Frederik Naujoksa ; naujoks@wivw.de" class="auth_mail" title="E-mail the corresponding author ; Andy Prillb ; amprill@hyundai-europe.com" class="auth_mail" title="E-mail the corresponding author ; Alexandra Neukuma ; neukum@wivw.de" class="auth_mail" title="E-mail the corresponding author
- 关键词：Automotive keystroke level modeling ; Total eyes-off-road times ; Secondary tasks ; In-vehicle infotainment systems
- 刊名：Applied Ergonomics
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：58
- 期：Complete
- 页码：543-554
- 全文大小：1105 K
文摘
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In-vehicle information systems have become increasingly complex in the last years.
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Efficient methods are required to determine the distraction potential of IVIS already during the development cycle.
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The proposed KLM-based modeling of total eyes-off-road times is a method that combines empirical and analytical procedures.
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The approach is tested and validated in two subsequent driving simulator studies with a real-life IVIS.