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Driver's Mental Model Assessment on ...

Kim, Jimin Joy,

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Driver's Mental Model Assessment on ADAS After Over-the-Air Updates /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Driver's Mental Model Assessment on ADAS After Over-the-Air Updates // Jimin Joy Kim.
Author:	Kim, Jimin Joy,
Description:	1 electronic resource (158 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-03, Section: A.
Contained By:	Dissertations Abstracts International86-03A.
Subject:	Industrial engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31334300
ISBN:	9798384038689

Driver's Mental Model Assessment on ADAS After Over-the-Air Updates /
Kim, Jimin Joy,

Driver's Mental Model Assessment on ADAS After Over-the-Air Updates /Jimin Joy Kim. - 1 electronic resource (158 pages)

Source: Dissertations Abstracts International, Volume: 86-03, Section: A.

Advanced driver assistance systems (ADAS) integrate advanced technologies to assist the driver and enhance safety in vehicles. These systems aid drivers with some parts of driving, and their ongoing iteration offers benefits to safety or convenience. Understanding system functionality can foster the safe use of ADAS, especially when interaction between the driver and the system is required for its operation. To facilitate quick adaptation and enhance understanding among drivers, it is necessary to investigate the factors that influence their mental models. Drivers' mental models may include how they understand the purpose, function, and limitations of the ADAS and the responsibilities of the driver while in operation. Over-the-air (OTA) updates, which involve remotely updating software or firmware on vehicles, are increasingly common in vehicles, affecting features like ADAS. If an OTA update changes the way the vehicle steers, accelerates, decelerates, or brakes, drivers may need to adjust their mental model as it alters system behaviors.This dissertation explores drivers' understanding and self-reported confidence in their understanding of ADAS after OTA updates and, based on these findings, proposes how to design consumer education accordingly. Exploring the factors aiding drivers' adaptation to new systems becomes an important design and educational consideration. The first study investigated the influence of initial experience with the new system on drivers' mental models. The second study evaluated the potential impact of the transfer of learning from a familiar ADAS to a new ADAS. Finally, the third study employed a safety-critical task analysis approach to certain ADAS features (based on the owner's manual) to identify safety-critical tasks and provide recommended scenario-based design solutions.The findings showed that the effect of the initial system experience varies depending on the system. For a collision warning/intervention system, participants who experienced the system had a higher confidence level in their understanding but not a better understanding. However, for a driving control assistance system, participants who experienced it had a better understanding but not necessarily more confidence. Participants' understanding of the new system was associated with consistent features shared with the previous system. However, inconsistent information between the two systems was related to difficulty in understanding the new system.Lastly, safety-critical tasks and potential errors were identified while operating certain systems, and improvement recommendations were suggested. These recommendations were intended to prevent or mitigate potential hazards associated with safety-critical tasks. The findings of this research have the potential to develop future driver education strategies, thereby enhancingsafety, user understanding of and experience with ADAS.

English

ISBN: 9798384038689Subjects--Topical Terms:

526216
Industrial engineering.
Subjects--Index Terms:

Mental models

Driver's Mental Model Assessment on ADAS After Over-the-Air Updates /
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502 $b Ph.D. $c The University of Iowa $d 2024.
520 $a Advanced driver assistance systems (ADAS) integrate advanced technologies to assist the driver and enhance safety in vehicles. These systems aid drivers with some parts of driving, and their ongoing iteration offers benefits to safety or convenience. Understanding system functionality can foster the safe use of ADAS, especially when interaction between the driver and the system is required for its operation. To facilitate quick adaptation and enhance understanding among drivers, it is necessary to investigate the factors that influence their mental models. Drivers' mental models may include how they understand the purpose, function, and limitations of the ADAS and the responsibilities of the driver while in operation. Over-the-air (OTA) updates, which involve remotely updating software or firmware on vehicles, are increasingly common in vehicles, affecting features like ADAS. If an OTA update changes the way the vehicle steers, accelerates, decelerates, or brakes, drivers may need to adjust their mental model as it alters system behaviors.This dissertation explores drivers' understanding and self-reported confidence in their understanding of ADAS after OTA updates and, based on these findings, proposes how to design consumer education accordingly. Exploring the factors aiding drivers' adaptation to new systems becomes an important design and educational consideration. The first study investigated the influence of initial experience with the new system on drivers' mental models. The second study evaluated the potential impact of the transfer of learning from a familiar ADAS to a new ADAS. Finally, the third study employed a safety-critical task analysis approach to certain ADAS features (based on the owner's manual) to identify safety-critical tasks and provide recommended scenario-based design solutions.The findings showed that the effect of the initial system experience varies depending on the system. For a collision warning/intervention system, participants who experienced the system had a higher confidence level in their understanding but not a better understanding. However, for a driving control assistance system, participants who experienced it had a better understanding but not necessarily more confidence. Participants' understanding of the new system was associated with consistent features shared with the previous system. However, inconsistent information between the two systems was related to difficulty in understanding the new system.Lastly, safety-critical tasks and potential errors were identified while operating certain systems, and improvement recommendations were suggested. These recommendations were intended to prevent or mitigate potential hazards associated with safety-critical tasks. The findings of this research have the potential to develop future driver education strategies, thereby enhancingsafety, user understanding of and experience with ADAS.
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650 4 $a Industrial engineering. $3 526216
650 4 $a Automotive engineering. $3 2181195
650 4 $a Transportation. $3 555912
653 $a Mental models
653 $a Over-the-air update
653 $a Advanced driver assistance systems
653 $a Vehicles
690 $a 0546
690 $a 0709
690 $a 0540
710 2 $a The University of Iowa. $b Industrial Engineering. $e degree granting institution. $3 3821612
720 1 $a McGehee, Daniel $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-03A.
790 $a 0096
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31334300