Is Now A Good Time? Dataset for Modelling Vehicle-Driver Communication Timing

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Abstract/Contents

Abstract
Anonymized dataset of 61 drivers who completed a 25.8 km (16 mi) loop through freeway, suburban, and urban driving settings. Each driver answered the randomly posed question “Is now a good time?” when verbally prompted by an automatic system, ~ every 30-90 seconds. Contextual information was collected using an instrumented 2016 Toyota Prius V. The data capture system included multi-channel video of the cabin and road, vehicle telemetry, GPS position, inertial forces, and driver physiological data. Some data is missing due to technical issues in capture; 45 drivers have complete data sets. Refer to associated publications for data capture details. Dataset only includes data from participants who consented to public distribution of data. Faces are blurred in video; please contact authors about how to gain access to non-anonymized dataset if needed.

Description

Type of resource Dataset, cartographic, still image, text, moving image
Date created August 2017 - May 2018
Publication date March 15, 2022

Creators/Contributors

Researcher Martelaro, Nikolas ORCiD icon https://orcid.org/0000-0002-1824-0243 (unverified)
Researcher Semmens, Robert ORCiD icon https://orcid.org/0000-0002-7637-4514 (unverified)
Researcher Stent, Simon ORCiD icon https://orcid.org/0000-0002-2623-6383 (unverified)
Researcher Wu, Tong ORCiD icon https://orcid.org/0000-0002-8935-1629 (unverified)
Researcher Ortiz, Jorge ORCiD icon https://orcid.org/0000-0003-3325-1298 (unverified)
Research team head Ju, Wendy ORCiD icon https://orcid.org/0000-0002-3119-611X (unverified)

Subjects

Subject Empirical
Subject Automobile driving
Subject Timing
Subject Navigation
Subject Verbal interaction
Genre Data
Genre Geospatial data
Genre Image
Genre Tabular data
Genre Data
Genre Video recording
Genre Data sets
Genre Dataset
Genre Cartographic dataset
Genre Tables (data)

Bibliographic information

Related item
Title
Is Now a Good Time? Dataset
Preferred citation
Tong Wu, Nikolas Martelaro, Simon Stent, Jorge Ortiz, and Wendy Ju. 2021. Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 3, Article 133 (Sept 2021), 28 pages. DOI:https://doi.org/10.1145/3478125
Preferred citation
Rob Semmens, Nikolas Martelaro, Pushyami Kaveti, Simon Stent, and Wendy Ju. 2019. Is Now A Good Time? An Empirical Study of Vehicle-Driver Communication Timing. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 637, 1–12. DOI:https://doi.org/10.1145/3290605.3300867
DOI https://doi.org/10.25740/gj863qr6417
Location https://purl.stanford.edu/gj863qr6417

Access conditions

Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation

Martelaro, N. and Ju, W. (2022). Is Now A Good Time? Dataset for Modelling Vehicle-Driver Communication Timing . Stanford Digital Repository. Available at https://purl.stanford.edu/gj863qr6417

Collection

Stanford Research Data

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Contact information

nikmart@cmu.edu
wendyju@cornell.edu

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