Studying pedestrians′ crossing behavior during automated vehicle interactions: A Wizard of Oz study

被引:1
作者
Bindschaedel, Janina [1 ]
Kiesel, Andrea [2 ]
机构
[1] Dr Ing hc Porsche AG, Weissach, Germany
[2] Univ Freiburg, Freiburg, Germany
来源
7TH INTERNATIONAL WORKSHOP ON SENSOR-BASED ACTIVITY RECOGNITION AND ARTIFICIAL INTELLIGENCE, IWOAR 2022 | 2022年
关键词
automated vehicle; pedestrians; field study; motion tracking; crossing behavior; DECISIONS; TIME;
D O I
10.1145/3558884.3558885
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As a substitute for communication with a human driver, additional communication cues for AVs have been proposed [1]. To analyze their effect on traffic flow, preceding studies captured pedestrians ' crossing decision in an unnatural manner, e.g., via data collection devices (e.g., [2]). In this paper, we explored the applicability of two optical tracking systems to capture crossing behavior more naturally in real-world conditions. In a Wizard of Oz study, N = 35 participants encountered a simulated AV. They were instructed to show natural crossing behavior, which was recorded with a light barrier and a SMARTTRACK3/IF. Results showed that both optical tracking systems can be utilized to capture pedestrians ' crossing behavior while interacting with AVs. The light barrier recorded the movement more often validly. Still, the correlation between recordings of both tracking systems was high which indicated a high convergence of measurement results.
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页数:7
相关论文
共 46 条
[1]   Deceleration parameters and their applicability as informal communication signal between pedestrians and automated vehicles [J].
Ackermann, Claudia ;
Beggiato, Matthias ;
Bluhm, Luka-Franziska ;
Loew, Alexandra ;
Krems, Josef F. .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 :757-768
[2]  
Advanced Realtime Tracking, 2022, Smarttrack3 & Smarttrack3/M
[3]  
Advanced Realtime Tracking, 2015, System user Manual
[4]  
Advanced Realtime Tracking, 2022, Smarttrack3
[5]   Repeated Measures Correlation [J].
Bakdash, Jonathan Z. ;
Marusich, Laura R. .
FRONTIERS IN PSYCHOLOGY, 2017, 8
[6]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[7]   Psychology as the Science of Self-Reports and Finger Movements Whatever Happened to Actual Behavior? [J].
Baumeister, Roy F. ;
Vohs, Kathleen D. ;
Funder, David C. .
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2007, 2 (04) :396-403
[8]  
Baumer, 2022, Functionality and technology of light barriers and diffuse sensors
[9]  
Bindschadel J., 2022, Implicit and explicit communication of automated vehicles: The contribution of active pitch motion, eHMI and acoustic signal in real -world conditions
[10]   Interaction between pedestrians and automated vehicles: Exploring a motion-based approach for virtual reality experiments [J].
Bindschadel, Janina ;
Krems, Ingo ;
Kiesel, Andrea .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2021, 82 :316-332