Modeling task completion time of in-vehicle information systems while driving with keystroke level modeling |
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| Affiliation: | 1. Dept. of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA;2. Dept. of Industrial Engineering, Yonsei University, Seoul, Republic of Korea;1. Department of Industrial Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea;2. The Graduate School of Technology & Innovation Management, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea;1. BMW Group, Knorrstr. 147, 80788 München, Germany;2. Chemnitz University of Technology, Institute of Psychology, Wilhelm-Raabe-Str. 43, 09120 Chemnitz, Germany;1. Volvo Car Corporation, SE-405 31 Göteborg, Sweden;2. Luleå University of Technology, SE-971 87 Luleå, Sweden;1. 2123A Systems Research & Academic Building, Engineering Management & System Engineering, Old Dominion University, Norfolk, VA 23529, USA;2. Volvo Group North America, Group Trucks Technology (GTT), Advanced Technology & Research (ATR), 7825 National Service Road, Mail Stop AP1/3-41, Greensboro, NC 27409, USA;1. Transportation College, Jilin University, ChangChun 130024, JiLin, China;2. Transportation and Logistics Engineering College, Shandong Jiaotong University, JiNan 250023, Shandong, China;3. Grontmij Nederland B.V., De Holle Bilt 22, 3732 HM De Bilt, The Netherlands |
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| Abstract: | The use of touchscreen-based in-vehicle information systems (IVIS) is increasing. To ensure safe driving, it is important to evaluate IVIS task performance during driving situations. Therefore, we proposed a model to assess the task completion time (TCT) of IVIS tasks while driving using a keystroke-level modeling (KLM) technique. The basic assumptions and heuristic rules of driver behaviors were considered. In addition, based on the characteristics of visual and manual IVIS interactions, we determined the basic unit operators (i.e., visual, manual, and mental operators). User experiments were conducted to determine the individual execution times of unit tasks and to measure the TCT of IVIS tasks while driving. Based on the heuristic rules for model development and individual task execution times, we derive a predictive model for the TCT of IVIS tasks. We used a regression analysis to validate the modeling procedure, showing that the observed TCT was found to have a strong positive correlation with the predicted time from the modeling process. The findings showed that the task completion time needed to perform a secondary task in a driving context can be predicted by KLM. This study provides meaningful insights into the design of touchscreen-based IVIS to enhance driving safety. |
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| Keywords: | Touchscreen In-vehicle information system (IVIS) Human performance modeling Keystroke level modeling (KLM) |
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