Debargha Dey

schoolTechnical University Eindhovenbar_chart#397 Global Rank

Total Papers

HCI Rank

#397

Research Areas

Years Active

Recent Publications

Exploring the Impacts of Background Noise on Auditory Stimuli of Audio-Visual eHMIs for Hearing, Deaf, and Hard-of-Hearing People

External Human-Machine Interfaces (eHMIs) have been proposed to enhance communication between automated vehicles (AVs) and pedestrians, with growing interest in multi-modal designs such as audio-visual eHMIs. Just as poor lighting can impair visual cues, a loud background noise may mask the auditory stimuli. However,…

CHI '263rd AuthorExternal HMI (eHMI) — Communication with Pedestrians & Cyclists

eHMI for All - Investigating the Effect of External Communication of Automated Vehicles on Pedestrians, Manual Drivers, and Cyclists

With automated vehicles (AVs), the absence of a human operator could necessitate external Human-Machine Interfaces (eHMIs) to communicate with other road users. Existing research primarily focuses on pedestrian-AV interactions, with limited attention given to other road users, such as cyclists and drivers of manually…

CHI '262nd AuthorExternal HMI (eHMI) — Communication with Pedestrians & Cyclists

Rethinking External Communication of Autonomous Vehicles: Is the Field Converging, Diverging, or Stalling?

As autonomous vehicles enter public spaces, external human–machine interfaces are proposed to support communication with external road users. A decade of research has produced hundreds of studies and reviews, yet it remains unclear whether the field is converging on shared principles or diverging across approaches. We…

AUTO_UI '253rd AuthorAutomated Driving Interface & Takeover Design +1

Socially Adaptive Autonomous Vehicles: Effects of Contingent Driving Behavior on Drivers' Experiences

Social scientists have argued that autonomous vehicles (AVs) need to act as effective social agents; they have to respond implicitly to other drivers' behaviors as human drivers would. In this paper, we investigate how contingent driving behavior in AVs influences human drivers' experiences. We compared three algorith…

AUTO_UI '252nd AuthorPrototyping & User Testing +1

What Researchers Need from Driving Simulator Systems: A Thematic Analysis of Expert Interviews

Automotive researchers face challenges using diverse driving simulator tools to address their research questions. This paper aims to identify the needs in current driving simulator systems. Numerous driving simulator systems are available and are continuing to be developed, but researchers' needs are often overlooked…

AUTO_UI '253rd AuthorTeleoperated Driving +2

SPAT: Situational Prosocial and Aggressive Behavior Perception in Traffic Scale

Automated vehicles (AVs) reached technological maturity and will soon arrive on streets as traffic participants. Human traffic participants such as drivers, pedestrians, or cyclists will be increasingly confronted with the presence of AVs within their environment, not necessarily knowing or understanding what to expec…

UBICOMP '244th AuthorExternal HMI (eHMI) — Communication with Pedestrians & Cyclists

Evaluating Autonomous Vehicle External Communication using a Multi-Pedestrian VR Simulator

Tran等人开发多行人VR模拟器评估自动驾驶车辆外部通信效果，通过模拟真实交通场景测试车辆与行人交互的通信有效性和安全性。

AUTO_UI '243rd AuthorIn-Vehicle Haptic, Audio & Multimodal Feedback +2

Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review

In this review, we analyze the current state of the art of computational models for in-vehicle User Interface (UI) design. Driver distraction, often caused by drivers performing Non Driving Related Tasks (NDRTs), is a major contributor to vehicle crashes. Accordingly, in-vehicle UI s must be evaluated for their distra…

AUTO_UI '242nd AuthorHead-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS) +1

Towards Instrumented Fingerprinting of Urban Traffic: A Novel Methodology using Distributed Mobile Point-of-View Cameras

Amidst the replication crisis, it is increasingly clear that we need to understand contextual factors that drive participant behavior, because those factors influence the applicability of study findings more broadly. For AutoUI, as we conduct interaction studies involving drivers, pedestrians, and other traffic partic…

CHI '241st AuthorExternal HMI (eHMI) — Communication with Pedestrians & Cyclists +1

Multi-Modal eHMIs: The Relative Impact of Light and Sound in AV-Pedestrian Interaction

External Human-Machine Interfaces (eHMIs) have been evaluated to facilitate interactions between Automated Vehicles (AVs) and pedestrians. Most eHMIs are, however, visual/ light-based solutions, and multi-modal eHMIs have received little attention to date. We ran an experimental video study (N = 29) to systematically…

View all 16 papers →

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/17916?source=all