Emily Sumner
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View article: Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports
Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports Open
View article: Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports
Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports Open
We propose a human-centered safety filter (HCSF) for shared autonomy that significantly enhances system safety without compromising human agency. Our HCSF is built on a neural safety value function, which we first learn scalably through bl…
View article: A Simulator Dataset to Support the Study of Impaired Driving
A Simulator Dataset to Support the Study of Impaired Driving Open
Despite recent advances in automated driving technology, impaired driving continues to incur a high cost to society. In this paper, we present a driving dataset designed to support the study of two common forms of driver impairment: alcoho…
View article: Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing Open
Tight coordination is required for effective human-robot teams in domains involving fast dynamics and tactical decisions, such as multi-car racing. In such settings, robot teammates must react to cues of a human teammate's tactical objecti…
View article: Harvesting heterogeneity: Selective expertise versus machine learning.
Harvesting heterogeneity: Selective expertise versus machine learning. Open
The heterogeneity of outcomes in behavioral research has long been perceived as a challenge for the validity of various theoretical models. More recently, however, researchers have started perceiving heterogeneity as something that needs t…
View article: Computational Teaching for Driving via Multi-Task Imitation Learning
Computational Teaching for Driving via Multi-Task Imitation Learning Open
Learning motor skills for sports or performance driving is often done with professional instruction from expert human teachers, whose availability is limited. Our goal is to enable automated teaching via a learned model that interacts with…
View article: Personalizing driver safety interfaces via driver cognitive factors inference
Personalizing driver safety interfaces via driver cognitive factors inference Open
View article: Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference Open
Recent advances in AI and intelligent vehicle technology hold promise to revolutionize mobility and transportation, in the form of advanced driving assistance (ADAS) interfaces. Although it is widely recognized that certain cognitive facto…
View article: Autonomous is Not Enough: Designing Multisensory Mid-Air Gestures for Vehicle Interactions Among People with Visual Impairments
Autonomous is Not Enough: Designing Multisensory Mid-Air Gestures for Vehicle Interactions Among People with Visual Impairments Open
Should fully autonomous vehicles (FAVs) be designed inclusively and accessibly, independence will be transformed for millions of people experiencing transportation-limiting disabilities worldwide. Although FAVs hold promise to improve effi…
View article: Expanded Situational Awareness Without Vision
Expanded Situational Awareness Without Vision Open
This work presents a novel ultrasonic haptic interface to improve nonvisual perception and situational awareness in applications such as fully autonomous vehicles. User study results (n=14) suggest comparable performance with the dynamic u…
View article: MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving Open
Personalization of autonomous vehicles (AV) may significantly increase trust, use, and acceptance. In particular, we hypothesize that the similarity of an AV's driving style compared to the end-user's driving style will have a major impact…
View article: Learning Latent Traits for Simulated Cooperative Driving Tasks
Learning Latent Traits for Simulated Cooperative Driving Tasks Open
To construct effective teaming strategies between humans and AI systems in complex, risky situations requires an understanding of individual preferences and behaviors of humans. Previously this problem has been treated in case-specific or …
View article: The efficacy of a task model approach to ADL rehabilitation in stroke apraxia and action disorganisation syndrome: A randomised controlled trial
The efficacy of a task model approach to ADL rehabilitation in stroke apraxia and action disorganisation syndrome: A randomised controlled trial Open
Background Apraxia and action disorganization syndrome (AADS) after stroke can disrupt activities of daily living (ADL). Occupational therapy has been effective in improving ADL performance, however, inclusion of multiple tasks means it is…
View article: Understanding and Shifting Preferences for Battery Electric Vehicles
Understanding and Shifting Preferences for Battery Electric Vehicles Open
Identifying personalized interventions for an individual is an important task. Recent work has shown that interventions that do not consider the demographic background of individual consumers can, in fact, produce the reverse effect, stren…
View article: Intuitive Sociology: Children Recognize Decision-Making Structures and Prefer Groups With Less-Concentrated Power
Intuitive Sociology: Children Recognize Decision-Making Structures and Prefer Groups With Less-Concentrated Power Open
From an early age, children recognize that people belong to social groups. However, not all groups are structured in the same way. The current study asked whether children recognize and distinguish among different decision-making structure…
View article: Children Expect Leaders to Oust Intruders, Refrain From Unprovoked Aggression, but Not to Be Generally Prosocial
Children Expect Leaders to Oust Intruders, Refrain From Unprovoked Aggression, but Not to Be Generally Prosocial Open
Humans in every society encounter social hierarchies. Previous research has shown that children use various cues to say who is, “in charge”. In the present studies we ask how children think those who are in charge treat others. In Studies …
View article: Intuitive Sociology: Children recognize decision-making structures and prefer groups with less concentrated power
Intuitive Sociology: Children recognize decision-making structures and prefer groups with less concentrated power Open
From an early age, children recognize that people belong to social groups. However, not all groups are structured in the same way. The current study asked whether children recognize and distinguish among different decision-making structure…
View article: Machine learning reveals how personalized climate communication can both succeed and backfire
Machine learning reveals how personalized climate communication can both succeed and backfire Open
Different advertising messages work for different people. Machine learning can be an effective way to personalise climate communications. In this paper we use machine learning to reanalyse findings from a recent study, showing that online …
View article: Children expect leaders to oust intruders, to refrain from aggression, but do not expect leaders to be generally more prosocial
Children expect leaders to oust intruders, to refrain from aggression, but do not expect leaders to be generally more prosocial Open
Humans in every society encounter social hierarchies. Previous research has shown that children use various cues to say who is, “in charge”. In the present studies we ask how children think those who are in charge treat others. In Studies …
View article: Cake or broccoli? Recency biases children’s verbal responses
Cake or broccoli? Recency biases children’s verbal responses Open
One of the greatest challenges of developmental psychology is figuring out what children are thinking. This is particularly difficult in early childhood, for children who are prelinguistic or are just beginning to speak their first words. …