Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load
This paper explores applying qualitative reasoning to a driver’s mental state in real driving situations so as to develop a working load for intelligent transportation systems. The authors identify the cognitive state that determines whether a driver will be ready to operate a device in car navigati...
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| Veröffentlicht in: | International journal of software science and computational intelligence 2011-10, Vol.3 (4), p.18-32 |
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| container_title | International journal of software science and computational intelligence |
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| creator | Sega, Shinichiro Iwasaki, Hirotoshi Hiraishi, Hironori Mizoguchi, Fumio |
| description | This paper explores applying qualitative reasoning to a driver’s mental state in real driving situations so as to develop a working load for intelligent transportation systems. The authors identify the cognitive state that determines whether a driver will be ready to operate a device in car navigation. In order to identify the driver’s cognitive state, the authors will measure eye movements during car-driving situations. Data can be acquired for the various actions of a car driver, in particular braking, acceleration, and steering angles from the experiment car. The authors constructed a driver cognitive mental load using the framework of qualitative reasoning. The response of the model was checked by qualitative simulation. The authors also verified the model using real data collected by driving an actual car. The results indicated that the model could represent the change in the cognitive mental load based on measurable data. This means that the framework of this paper will be useful for designing user interfaces for next-generation systems that actively employ user situations. |
| doi_str_mv | 10.4018/jssci.2011100102 |
| format | Article |
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The authors identify the cognitive state that determines whether a driver will be ready to operate a device in car navigation. In order to identify the driver’s cognitive state, the authors will measure eye movements during car-driving situations. Data can be acquired for the various actions of a car driver, in particular braking, acceleration, and steering angles from the experiment car. The authors constructed a driver cognitive mental load using the framework of qualitative reasoning. The response of the model was checked by qualitative simulation. The authors also verified the model using real data collected by driving an actual car. The results indicated that the model could represent the change in the cognitive mental load based on measurable data. 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This means that the framework of this paper will be useful for designing user interfaces for next-generation systems that actively employ user situations.</description><subject>Automobile drivers</subject><subject>Cognition & reasoning</subject><subject>Data acquisition</subject><subject>Eye movements</subject><subject>Intelligent transportation systems</subject><subject>Qualitative analysis</subject><subject>Qualitative reasoning</subject><subject>Steering</subject><subject>User interfaces</subject><issn>1942-9045</issn><issn>1942-9037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEFLwzAUx4soOKd3jwUvHuzMS9J1OY7NqTARRc_hNU27jNrOpBW8-TX8en4S4zo2EL289yC_98_jFwSnQAacwOhy6ZwyA0oAgBAgdC_ogeA0EoQl-9uZx4fBkXNLQoacAfSC6UOLpWmwMW86fNTo6spURTherWyNahE2dYjh1PpX-_Xx6cJJXVRmDd_pqsEynNeYHQcHOZZOn2x6P3ieXT1NbqL5_fXtZDyPFIOYRTxLFaE544oTmmlFEwpcZJkYpgCoOOYp5olQyCnN4lGsAHkiMEsFE0LnlPWDsy7XH_faatfIZd3ayn8pqWCJzxsR5qmLjiqw1DJtnam088WZYtG4Alvn5DgZAnDmq8dJhytbO2d1LlfWvKB9l0Dkj1q5Vit3av3KrFsxhdmdsLEotxblxuK_OT7o_I-g35xcZTn7BkLHktQ</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Sega, Shinichiro</creator><creator>Iwasaki, Hirotoshi</creator><creator>Hiraishi, Hironori</creator><creator>Mizoguchi, Fumio</creator><general>IGI Global</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>7SC</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20111001</creationdate><title>Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load</title><author>Sega, Shinichiro ; 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| identifier | ISSN: 1942-9045 |
| ispartof | International journal of software science and computational intelligence, 2011-10, Vol.3 (4), p.18-32 |
| issn | 1942-9045 1942-9037 |
| language | eng |
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| source | ProQuest Central UK/Ireland; Alma/SFX Local Collection; ProQuest Central |
| subjects | Automobile drivers Cognition & reasoning Data acquisition Eye movements Intelligent transportation systems Qualitative analysis Qualitative reasoning Steering User interfaces |
| title | Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load |
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