16 citations · 46 across the 19 of their papers we have counts for
20 papers
Bring Buttons Back: Physical Interfaces for the Age of Automation
David Goedicke, Donald Degraen, Tom Igoe +3
As AI starts to permeate everyday life, deployment focuses on embedding intelligence in the background, abstracting away controls, and leaving automated decision-making opaque, wit…
Characterizing Driver Interactions with Autonomous Vehicles via Response Maps
Dave Broaddus, Rachel DiPirro, Chishang +4
Understanding human responses to autonomous vehicle (AV) behaviors is essential for socially aware interaction, which is crucial for socially compatible navigation in shared traffi…
ERR@HRI 2.0 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Conversations
Shiye Cao, Maia Stiber, Amama Mahmood +5
The integration of large language models (LLMs) into conversational robots has made human-robot conversations more dynamic. Yet, LLM-powered conversational robots remain prone to e…
Co-Designing with Algorithms: Unpacking the Complex Role of GenAI in Interactive System Design Education
Hauke Sandhaus, Quiquan Gu, Maria Teresa Parreira +1
Generative Artificial Intelligence (GenAI) is transforming Human-Computer Interaction (HCI) education and technology design, yet its impact remains poorly understood. This study ex…
Mutual Benefit: The Case for Sharing Autonomous Vehicle Data with the Public
David Goedicke, Natalie Chyi, Alexandra Bremers +3
Autonomous driving is a widely researched technology that is frequently tested on public roads. The data generated from these tests represent an essential competitive element for t…
Regaining Trust: Impact of Transparent User Interface Design on Acceptance of Camera-Based In-Car Health Monitoring Systems
Hauke Sandhaus, Madiha Zahrah Choksi, Wendy Ju
Introducing in-car health monitoring systems offers substantial potential to improve driver safety. However, camera-based sensing technologies introduce significant privacy concern…
Designing a User-centric Framework for Information Quality Ranking of Large-scale Street View Images
Tahiya Chowdhury, Ilan Mandel, Jorge Ortiz +1
Street view imagery (SVI), largely captured via outfitted fleets or mounted dashcams in consumer vehicles is a rapidly growing source of geospatial data used in urban sensing and d…
A Study on Domain Generalization for Failure Detection through Human Reactions in HRI
Maria Teresa Parreira, Sukruth Gowdru Lingaraju, Adolfo Ramirez-Aristizabal +3
Machine learning models are commonly tested in-distribution (same dataset); performance almost always drops in out-of-distribution settings. For HRI research, the goal is often to…
Portobello: Extending Driving Simulation from the Lab to the Road
Fanjun Bu, Stacey Li, David Goedicke +4
In automotive user interface design, testing often starts with lab-based driving simulators and migrates toward on-road studies to mitigate risks. Mixed reality (XR) helps translat…
Fingerprinting New York City's Scaffolding Problem with Longitudinal Dashcam Data
Dorin Shapira, Matt Franchi, Wendy Ju
Scaffolds, also called sidewalk sheds, are intended to be temporary structures to protect pedestrians from construction and repair hazards. However, some sidewalk sheds are left up…
Adversarial Robots as Creative Collaborators
Shayla Lee, Wendy Ju
This research explores whether the interaction between adversarial robots and creative practitioners can push artists to rethink their initial ideas. It also explores how working w…
Towards Sustainable Research Data Management in Human-Computer Interaction
David Goedicke, Mark Colley, Sebastian S. Feger +3
We discuss important aspects of HCI research regarding Research Data Management (RDM) to achieve better publication processes and higher reuse of HCI research results. Various cont…
Detecting disparities in police deployments using dashcam data
Matt Franchi, J. D. Zamfirescu-Pereira, Wendy Ju +1
Large-scale policing data is vital for detecting inequity in police behavior and policing algorithms. However, one important type of policing data remains largely unavailable withi…
Towards Prototyping Driverless Vehicle Behaviors, City Design, and Policies Simultaneously
Hauke Sandhaus, Wendy Ju, Qian Yang
Autonomous Vehicles (AVs) can potentially improve urban living by reducing accidents, increasing transportation accessibility and equity, and decreasing emissions. Realizing these…
Frankenstein's Toolkit: Prototyping Electronics Using Consumer Products
Ilan Mandel, Wendy Ju
In our practice as educators, researchers and designers we have found that centering reverse engineering and reuse has pedagogical, environmental, and economic benefits. Design dec…
The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI
Alexandra Bremers, Maria Teresa Parreira, Xuanyu Fang +6
For a robot to repair its own error, it must first know it has made a mistake. One way that people detect errors is from the implicit reactions from bystanders -- their confusion,…
Using Social Cues to Recognize Task Failures for HRI: Overview, State-of-the-Art, and Future Directions
Alexandra Bremers, Alexandria Pabst, Maria Teresa Parreira +1
Robots that carry out tasks and interact in complex environments will inevitably commit errors. Error detection is thus an essential ability for robots to master to work efficientl…
The PUEVA Inventory: A Toolkit to Evaluate the Personality, Usability and Enjoyability of Voice Agents
Stacey Li, Sven Krome, Ilan Mandel +2
The proliferation of voice agents in consumer devices requires new tools for evaluating these systems beyond their technical functionality. This paper presents a toolkit for the ev…
Look at Me When I Talk to You: A Video Dataset to Enable Voice Assistants to Recognize Errors
Andrea Cuadra, Hansol Lee, Jason Cho +1
People interacting with voice assistants are often frustrated by voice assistants' frequent errors and inability to respond to backchannel cues. We introduce an open-source video d…
Remote Observation of Field Work on the Farm
Wendy Ju, Ilan Mandel, Kevin Weatherwax +3
Travel restrictions and social distancing measures make it difficult to observe, monitor or manage physical fieldwork. We describe research in progress that applies technologies fo…