Methodologies to Understand the Road User Needs when Interacting with Automated Vehicles
| Autor: | Gustav Markkula, James Jenness, Dimitris Nathanael, Oscar Giles, Natasha Merat, Evangelia Portouli, André Dietrich, Anna Schieben, Angelos Amditis, J Uttley, Yee Mun Lee Lee |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
Process (engineering) Computer science 05 social sciences Plan (drawing) Kinematics Rationalization (economics) Human–computer interaction 0502 economics and business Automated Vehicles Interactions among road users Methodologies Eye tracking Overhead (computing) 0501 psychology and cognitive sciences 050107 human factors Road user |
| Zdroj: | HCI in Mobility, Transport, and Automotive Systems ISBN: 9783030226657 HCI (31) HCI in Mobility, Transport, and Automotive Systems-First International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings Lecture Notes in Computer Science Lecture Notes in Computer Science-HCI in Mobility, Transport, and Automotive Systems |
| ISSN: | 0302-9743 1611-3349 |
| Popis: | Interactions among road users play an important role for road safety and fluent traffic. In order to design appropriate interaction strategies for auto-mated vehicles, observational studies were conducted in Athens (Greece), Mu-nich (Germany), Leeds (UK) and in Rockville, MD (USA). Naturalistic behav-iour was studied, as it may expose interesting scenarios not encountered in con-trolled conditions. Video and LiDAR recordings were used to extract kinematic information of all road users involved in an interaction and to develop appropriate kinematic models that can be used to predict other’s behaviour or plan the behav-iour of an automated vehicle. Manual on-site observations of interactions pro-vided additional behavioural information that may not have been visible via the overhead camera or LiDAR recordings. Verbal protocols were also applied to get a more direct recording of the human thought process. Real-time verbal re-ports deliver a richness of information that is inaccessible by purely quantitative data but they may pose excessive cognitive workload and remain incomplete. A retrospective commentary was applied in complex traffic environment, which however carries an increased risk of omission, rationalization and reconstruction. This is why it was applied while the participants were watching videos from their eye gaze recording. The commentaries revealed signals and cues used in interac-tions and in drivers’ decision-making, that cannot be captured by objective meth-ods. Multiple methods need to be combined, objective and qualitative ones, de-pending on the specific objectives of each future study. |
| Databáze: | OpenAIRE |
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