TY - GEN
T1 - Toward Standardizing Wizard of Oz Driving Behavior
T2 - 23rd International Conference on Human-Computer Interaction, HCII 2021
AU - Scheiter, Andrea Isabell
AU - Domes, Michael
AU - Herbst, Uwe
AU - Bengler, Klaus
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The Wizard of Oz (WoOz) research paradigm is very versatile in terms of experimental procedure, which is why special attention has to be paid to achieving valid results. In this context, for example, driving wizards must be able to consistently reproduce the driving style of an automated vehicle to ensure reliability and validity of the experiment. Since this is a challenging task for human drivers, it is advisable to provide driving wizards with assistive equipment, such as additional information systems. Before designing these systems, it is important to find out how driving wizards can best be supported. Therefore, we conducted a decision ladder analysis to understand what information driving wizards must perceive, what decisions they must make and what actions they must perform. We discovered that additional information, for example, regarding the longitudinal and lateral acceleration, the distance between ego vehicle and leading vehicle as well as the lateral position of the ego vehicle within the lane could be helpful for driving wizards.
AB - The Wizard of Oz (WoOz) research paradigm is very versatile in terms of experimental procedure, which is why special attention has to be paid to achieving valid results. In this context, for example, driving wizards must be able to consistently reproduce the driving style of an automated vehicle to ensure reliability and validity of the experiment. Since this is a challenging task for human drivers, it is advisable to provide driving wizards with assistive equipment, such as additional information systems. Before designing these systems, it is important to find out how driving wizards can best be supported. Therefore, we conducted a decision ladder analysis to understand what information driving wizards must perceive, what decisions they must make and what actions they must perform. We discovered that additional information, for example, regarding the longitudinal and lateral acceleration, the distance between ego vehicle and leading vehicle as well as the lateral position of the ego vehicle within the lane could be helpful for driving wizards.
KW - Driving Wizard Task
KW - Methodology
KW - Wizard of Oz
UR - https://www.scopus.com/pages/publications/85112030608
U2 - 10.1007/978-3-030-78645-8_35
DO - 10.1007/978-3-030-78645-8_35
M3 - Conference contribution
AN - SCOPUS:85112030608
SN - 9783030786441
T3 - Communications in Computer and Information Science
SP - 281
EP - 288
BT - HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 July 2021 through 29 July 2021
ER -