Debargha Dey

Debargha Dey
Eindhoven University of Technology | TUE · Department of Industrial Design

Doctor of Philosophy

About

24
Publications
16,928
Reads
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617
Citations
Additional affiliations
November 2016 - present
Eindhoven University of Technology
Position
  • PhD
Education
October 2015 - September 2017
Eindhoven University of Technology
Field of study
  • User-System Interaction
August 2010 - May 2012
Vanderbilt University
Field of study
  • Computer Science

Publications

Publications (24)
Chapter
As the control of driving tasks is increasingly transferred from the human driver to the on-board sensor and computer systems, a potential gap in communication is created between the car as an entity, and other road users. How can pedestrians, cyclists, and other drivers be certain that an automated vehicle is aware of the different road users in i...
Conference Paper
Full-text available
External human-machine interfaces (eHMIs) are shown to support Automated Vehicles (AVs) in interacting with vulnerable road users such as pedestrians. Typically, eHMI concepts are light- or sound-based designs that communicate the AV's intention with abstract visualizations, which are unfamiliar, not fully intuitive, and require learning. In the na...
Conference Paper
Full-text available
Current research on external Human-Machine Interfaces (eHMIs) in facilitating interactions between automated vehicles (AVs) and pedestrians have largely focused on one-to-one encounters. In order for eHMIs to be viable in reality, they need to be scalable, i.e., facilitate interaction with more than one pedestrian with clarity and unambiguity. We c...
Conference Paper
Full-text available
External Human-Machine Interfaces (eHMIs) are proposed to address the communication gap between automated vehicles (AVs) and other road users. However, existing concepts of eHMIs are often limited in their ability to communicate in a clear, unambiguous, and scalable way, which hinders their effectiveness. eHMIs typically communicate by showing the...
Conference Paper
Full-text available
External Human-Machine interfaces (eHMIs) are typically proposed to facilitate explicit communication of vehicle intent to pedestrians. However, implicit communication through vehicle kinematics or movement patterns is shown to be the primary indicator of driving behavior and intention in traffic, for both manually-driven and automated vehicles. Un...
Article
Full-text available
External Human-Machine Interfaces (eHMIs) are expected to bridge the communication gap between an automated vehicle (AV) and pedestrians to replace the missing driver-pedestrian interaction. However, the relative impact of movement-based implicit communication and explicit communication with the aid of eHMIs on pedestrians has not been studied and...
Conference Paper
Automated vehicles are expected to become a part of the road traffic in the near future. This upcoming change raises concerns on how human road users, e.g., cyclists or pedestrians, would interact with them to ensure safe communication on the road. Previous work focused primarily on the scenario in which a young adult without impairments crosses a...
Article
Full-text available
There is a growing body of research in the field of interaction between automated vehicles and other road users in their vicinity. To facilitate such interactions, researchers and designers have explored designs, and this line of work has yielded several concepts of external Human-Machine Interfaces (eHMI) for vehicles. Literature and media review...
Conference Paper
External human-machine interfaces (eHMIs) support automated vehicles (AVs) in interacting with vulnerable road users such as pedestrians. While related work investigated various eHMIs concepts, these concepts communicate their message in one go at a single point in time. There are no empirical insights yet whether distance-dependent multi-step info...
Conference Paper
Full-text available
Figure 1. We evaluated user preferences for a light band eHMI with 3 colors (green, cyan, and red), and 5 animation patterns (flashing, pulsing, wiping inwards, wiping outwards, and wiping alternatively inwards as well as outwards). ABSTRACT In this paper, we report user preferences regarding color and animation patterns to support the interaction...
Conference Paper
Figure 1. We evaluated pedestrian interaction with automated vehicles under four conditions: Baseline (no eHMI or conspicuous sensor system), eHMI (shown in non-yielding state-glowing steadily), visible sensors (a conspicuous sensor system on the rooftop), and both manipulations simultaneously (with eHMI shown in yielding state, animating in a patt...
Conference Paper
Full-text available
In road-crossing situations involving negotiation with approaching vehicles, pedestrians need to take into account the behavior of the car before making a decision. To investigate the kind of information about the car that pedestrians seek, and the places where do they look for it, we conducted an eye-tracking study with 26 participants and analyze...
Conference Paper
Interactions between autonomous vehicles (AV) and pedestrians remain an ongoing area of research within the AutoUI community and beyond. Given the challenge of conducting studies to understand and prototype these interactions, we propose a combined full-day workshop and tutorial on how to conduct field experiments and controlled experiments using W...
Article
This paper discusses whether the knowledge of the driving mode of an approaching vehicle (manual vs. automated) influences pedestrians’ decisions while crossing a street. Additionally, the paper explores how different appearances and driving behaviours of vehicles interact with driving mode in affecting pedestrians’ road-crossing behaviours. In a v...
Research Proposal
Full-text available
Research in context of Autonomous Vehicle (AV) and pedestrian interaction includes difficult challenges. For example, AVs are not yet publicly available. Therefore, meaningful research is mainly performed in controlled environments e.g., closed test tracks or laboratory settings. Such studies represent only an approximation of reality. It cannot be...
Conference Paper
Full-text available
Can interactions between automated vehicles and pedestrians be evaluated in a quantifiable and standardized way? In order to answer this, we designed an input device in the form of a continuous slider that enables pedestrians to indicate their willingness to cross a road and their feeling of safety in real time in response to an approaching vehicle...
Conference Paper
Methods and metrics for studying interactions between automated vehicles and other road users in their vicinity, such as pedestrians, cyclists and non-automated vehicles, are not established yet. This workshop focuses on identifying the strengths and weaknesses of various methodologies that could potentially be used to study such interactions. The...
Conference Paper
Full-text available
This paper presents six interface concepts for Autonomous Vehicles to communicate their intention to Vulnerable Road Users. The concepts were designed to be scalable and versatile, and attempt to address some of the limitations of existing concepts towards an unambiguous communication. The interfaces exist currently as initial concepts generated fr...
Article
Full-text available
The introduction of autonomous vehicles (autonomous vehicles) will reshape the many social interactions that are part of traffic today. In order for autonomous vehicles to become successfully integrated, the social interactions surrounding them need to be purposefully designed. To ensure success and save development efforts, design methods that exp...
Conference Paper
Full-text available
This paper presents a study that aimed to identify the importance of eye contact and gestures between pedestrians and drivers. A video-based observation and coding was undertaken to categorize the road-crossing and communication behavior of pedestrians and drivers in busy traffic situations where efficient negotiation is necessary. The evidence in...
Conference Paper
Full-text available
Autonomous driving technology is evolving quickly, and self-driving cars are fast becoming a reality. In the level 2 autonomous driving stage, the system will take full control of the vehicle. The driver must monitor the driving and be prepared to immediately intervene at any time if the automated system fails to respond properly. As a result, the...
Conference Paper
Full-text available
In this paper, we present the preliminary results of a study that aims to investigate the role of an approaching vehicle's behavior and outer appearance in determining pedestrians' decisions while crossing a street. Concerning appearance, some vehicles are designed to look more assertive than others, and it is believed that vehicle appearance may r...
Research
Full-text available
Empathy induced altruism is believed to motivate people in a crowdsourcing environment to produce better quality work. However, there hasn't been any considerable investigation regarding how empathy can be effectively conveyed through user interfaces (UI). We conducted a study to find the effects of introducing empathy in task descriptions, and inv...

Projects

Projects (4)
Project
Address current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving. In i-CAVE, a Cooperative Dual Mode Automated Transport (C-DMAT) system is researched and designed, consisting of dual mode vehicles which can be driven automatically and manually to allow maximum flexibility. The program integrates technological road maps for automated and cooperative driving, accelerating the development of novel transportation systems addressing today and future mobility demands. Access https://i-cave.nl/ for more information.
Project
Common user research methodologies often do not scale well to research concerning Autonomous Vehicles. What are the methodological considerations for ecologically valid insights in this area?
Project
Design and evaluate a scalable and unambiguous interface to allow autonomous vehicles to communicate with vulnerable road users.