Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation
Understanding naturalistic driving in complex scenarios is an important step towards autonomous driving, and several approaches have been adopted for modeling driver’s behaviors. This paper presents the methodology known as “Think Aloud Protocol” to model driving. This methodology is a data-gatherin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/23/6907 |
| _version_ | 1797545823143198720 |
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| author | Borja Monsalve Nourdine Aliane Enrique Puertas Javier Fernández Andrés |
| author_facet | Borja Monsalve Nourdine Aliane Enrique Puertas Javier Fernández Andrés |
| author_sort | Borja Monsalve |
| collection | DOAJ |
| description | Understanding naturalistic driving in complex scenarios is an important step towards autonomous driving, and several approaches have been adopted for modeling driver’s behaviors. This paper presents the methodology known as “Think Aloud Protocol” to model driving. This methodology is a data-gathering technique in which drivers are asked to verbalize their thoughts as they are driving which are then recorded, and the ensuing analysis of the audios and videos permits to derive driving rules. The goal of this paper is to show how think aloud methodology is applied in the naturalistic driving area, and to demonstrate the validity of the proposed approach to derive driving rules. The paper presents, firstly, the background of the think aloud methodology and then presents the application of this methodology to driving in roundabouts. The general deployment of this methodology consists of several stages: driver preparation, data collection, audio and video processing, generation of coded transcript files, and the generation of driving rules. The main finding of this study is that think aloud protocol can be applied to naturalistic driving, and even some potential limitations as discussed in the paper, the presented methodology is a relatively easy approach to derive driving rules. |
| first_indexed | 2024-03-10T14:21:28Z |
| format | Article |
| id | doaj.art-7e61e65563c640a78092ac55136b4471 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:21:28Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7e61e65563c640a78092ac55136b44712023-11-20T23:20:57ZengMDPI AGSensors1424-82202020-12-012023690710.3390/s20236907Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules GenerationBorja Monsalve0Nourdine Aliane1Enrique Puertas2Javier Fernández Andrés3Science, Computing and Technology Department, Universidad Europea de Madrid, 28670 Madrid, SpainIndustrial and Aerospace Engineering Department, Universidad Europea de Madrid, 28670 Madrid, SpainScience, Computing and Technology Department, Universidad Europea de Madrid, 28670 Madrid, SpainIndustrial and Aerospace Engineering Department, Universidad Europea de Madrid, 28670 Madrid, SpainUnderstanding naturalistic driving in complex scenarios is an important step towards autonomous driving, and several approaches have been adopted for modeling driver’s behaviors. This paper presents the methodology known as “Think Aloud Protocol” to model driving. This methodology is a data-gathering technique in which drivers are asked to verbalize their thoughts as they are driving which are then recorded, and the ensuing analysis of the audios and videos permits to derive driving rules. The goal of this paper is to show how think aloud methodology is applied in the naturalistic driving area, and to demonstrate the validity of the proposed approach to derive driving rules. The paper presents, firstly, the background of the think aloud methodology and then presents the application of this methodology to driving in roundabouts. The general deployment of this methodology consists of several stages: driver preparation, data collection, audio and video processing, generation of coded transcript files, and the generation of driving rules. The main finding of this study is that think aloud protocol can be applied to naturalistic driving, and even some potential limitations as discussed in the paper, the presented methodology is a relatively easy approach to derive driving rules.https://www.mdpi.com/1424-8220/20/23/6907autonomous drivingnaturalistic drivingthink aloud protocoldriver behaviorrule generationcognitive process |
| spellingShingle | Borja Monsalve Nourdine Aliane Enrique Puertas Javier Fernández Andrés Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation Sensors autonomous driving naturalistic driving think aloud protocol driver behavior rule generation cognitive process |
| title | Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation |
| title_full | Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation |
| title_fullStr | Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation |
| title_full_unstemmed | Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation |
| title_short | Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation |
| title_sort | think aloud protocol applied in naturalistic driving for driving rules generation |
| topic | autonomous driving naturalistic driving think aloud protocol driver behavior rule generation cognitive process |
| url | https://www.mdpi.com/1424-8220/20/23/6907 |
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