Alan R. Wagner
YOU?
Author Swipe
View article: Validation and Evacuee Modeling of Virtual Robot-guided Emergency Evacuation Experiments
Validation and Evacuee Modeling of Virtual Robot-guided Emergency Evacuation Experiments Open
Virtual Reality (VR) is an increasingly common tool for investigating human responses to emergency situations. Nonetheless, studies validating and comparing human subject behavior during real world emergencies to their responses in VR are …
View article: Evacuee Behavior Modeling during Robot-Guided Evacuations
Evacuee Behavior Modeling during Robot-Guided Evacuations Open
Evacuation robots hold promise for facilitating efficient and safe building evacuations during emergencies. While studies have demonstrated that people will follow an evacuation robot [Nayyar 2019 28th IEEE International Conference on Robo…
View article: Physical anthropomorphism (but not gender presentation) influences trust in household robots
Physical anthropomorphism (but not gender presentation) influences trust in household robots Open
This research explores anthropomorphism and gender presentation as prospective determinants of trust in household service robots with respect to care of objects (e.g., clothing, valuables), information (e.g., online passwords, credit card …
View article: Overtrust in AI Recommendations About Whether or Not to Kill: Evidence from Two Human-Robot Interaction Studies
Overtrust in AI Recommendations About Whether or Not to Kill: Evidence from Two Human-Robot Interaction Studies Open
This research explores prospective determinants of trust in the recommendations of artificial agents regarding decisions to kill, using a novel visual challenge paradigm simulating threat-identification (enemy combatants vs. civilians) und…
View article: Validation and Evacuee Modeling of Virtual Robot-guided Emergency Evacuation Experiments
Validation and Evacuee Modeling of Virtual Robot-guided Emergency Evacuation Experiments Open
Virtual Reality (VR) is an increasingly common tool for investigating human responses to emergency situations. Nonetheless, studies validating and comparing human subject behavior during real world emergencies to their responses in VR are …
View article: Physical Anthropomorphism (but not Gender Presentation) Influences Trust in Household Robots
Physical Anthropomorphism (but not Gender Presentation) Influences Trust in Household Robots Open
This research explores anthropomorphism and gender presentation as prospective determinants of trust in household service robots with respect to care of objects (e.g., clothing, valuables), information (e.g., online passwords, credit card …
View article: What Should a Robot Do? Comparing Human and Large Language Model Recommendations for Robot Deception
What Should a Robot Do? Comparing Human and Large Language Model Recommendations for Robot Deception Open
This study compares human ethical judgments with Large Language Models (LLMs) on robotic deception in various scenarios. Surveying human participants and querying LLMs, we presented ethical dilemmas in high-risk and low-risk contexts. Find…
View article: Exploring Trust and Risk during Online Bartering Interactions
Exploring Trust and Risk during Online Bartering Interactions Open
This paper investigates how risk influences the way people barter. We used Minecraft to create an experimental environment in which people bartered to earn a monetary bonus. Our findings reveal that subjects exhibit risk-aversion to compet…
View article: Overtrust in AI Recommendations to Kill
Overtrust in AI Recommendations to Kill Open
These studies explore prospective determinants of trust in the recommendations of artificial agents regarding decisions to kill, using a novel visual challenge paradigm simulating threat-identification (enemy combatants vs. civilians) unde…
View article: Modeling Evacuee Behavior for Robot-Guided Emergency Evacuation
Modeling Evacuee Behavior for Robot-Guided Emergency Evacuation Open
This paper considers the problem of developing suitable behavior models of human evacuees during a robot-guided emergency evacuation. We describe our recent research developing behavior models of evacuees and potential future uses of these…
View article: Near Real-Time Position Tracking for Robot-Guided Evacuation
Near Real-Time Position Tracking for Robot-Guided Evacuation Open
During the evacuation of a building, the rapid and accurate tracking of human evacuees can be used by a guide robot to increase the effectiveness of the evacuation [1],[2]. This paper introduces a near real-time human position tracking sol…
View article: CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics Open
For most real-world applications, robots need to adapt and learn continually\nwith limited data in their environments. In this paper, we consider the problem\nof Few-Shot class Incremental Learning (FSIL), in which an AI agent is required\…
View article: Active Class Selection for Few-Shot Class-Incremental Learning
Active Class Selection for Few-Shot Class-Incremental Learning Open
For real-world applications, robots will need to continually learn in their environments through limited interactions with their users. Toward this, previous works in few-shot class incremental learning (FSCIL) and active class selection (…
View article: Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments Open
Recent research has examined the possibility of using robots to guide evacuees to safe exits during emergencies. Yet, there are many factors that can impact a person's decision to follow a robot. Being able to model how an evacuee follows …
View article: A Testbed for Cognitively Plausibly Bartering Agents
A Testbed for Cognitively Plausibly Bartering Agents Open
We present an initial experimental testbed for human-AI interaction in the context of a simple bartering scenario. With pilot studies, we demonstrate the opportunity this platform provides for computational modeling of human behavior in th…
View article: Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control
Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Open
Emergency evacuation describes a complex situation involving time-critical decision-making by evacuees. Mobile robots are being actively explored as a potential solution to provide timely guidance. In this work, we study a robot-guided cro…
View article: Using Virtual Reality to Simulate Human-Robot Emergency Evacuation Scenarios
Using Virtual Reality to Simulate Human-Robot Emergency Evacuation Scenarios Open
This paper describes our recent effort to use virtual reality to simulate threatening emergency evacuation scenarios in which a robot guides a person to an exit. Our prior work has demonstrated that people will follow a robot's guidance, e…
View article: Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields Open
This work studies a robot-assisted crowd evacuation problem where we control a small group of robots to guide a large human crowd to safe locations. The challenge lies in how to model human-robot interactions and design robot controls to i…
View article: Case-based robotic architecture with multiple underlying ethical frameworks for human-robot interaction
Case-based robotic architecture with multiple underlying ethical frameworks for human-robot interaction Open
As robots are becoming more intelligent and more commonly used, it is critical for robots to behave ethically in human-robot interactions.However, there is a lack of agreement on a correct moral theory to guide human behavior, let alone ro…
View article: Informing a robot ethics architecture through folk and expert morality
Informing a robot ethics architecture through folk and expert morality Open
Ethical decision-making is difficult, certainly for robots let alone humans.If a robot's ethical decisionmaking process is going to be designed based on some approximation of how humans operate, then the assumption is that a good model of …
View article: Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios
Toward Ethical Robotic Behavior in Human-Robot Interaction Scenarios Open
This paper describes current progress on developing an ethical architecture for robots that are designed to follow human ethical decision-making processes. We surveyed both regular adults (folks) and ethics experts (experts) on what they c…
View article: Christoph Bartneck, Tony Belpaeme, Friederike Eyssel, Takayuki Kanda, Merel Keijsers and Selma Sabanovic, Human–Robot Interaction: An Introduction
Christoph Bartneck, Tony Belpaeme, Friederike Eyssel, Takayuki Kanda, Merel Keijsers and Selma Sabanovic, Human–Robot Interaction: An Introduction Open
Although the ideas that underpin Human-Robot Interaction (HRI) are not new, the concepts and organizing principles of this field have recently coalesced into a standalone, experimentally verifiable line of inquiry.The field of human-robot …
View article: A POMDP Dialogue Policy with 3-way Grounding and Adaptive Sensing for Learning through Communication
A POMDP Dialogue Policy with 3-way Grounding and Adaptive Sensing for Learning through Communication Open
Agents to assist with rescue, surgery, and similar activities could collaborate better with humans if they could learn new strategic behaviors through communication. We introduce a novel POMDP dialogue policy for learning from people. The …
View article: What Happens When Robots Punish? Evaluating Human Task Performance During Robot-Initiated Punishment
What Happens When Robots Punish? Evaluating Human Task Performance During Robot-Initiated Punishment Open
This article examines how people respond to robot-administered verbal and physical punishments. Human participants were tasked with sorting colored chips under time pressure and were punished by a robot when they made mistakes, such as ina…
View article: If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot
If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot Open
Robots may soon play a role in higher education by augmenting learning environments and managing interactions between instructors and learners. Little, however, is known about how the presence of robots in the learning environment will inf…
View article: Robot-Guided Evacuation as a Paradigm for Human-Robot Interaction Research
Robot-Guided Evacuation as a Paradigm for Human-Robot Interaction Research Open
This paper conceptualizes the problem of emergency evacuation as a paradigm for investigating human-robot interaction. We argue that emergency evacuation offers unique and important perspectives on human-robot interaction while also demand…
View article: Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles Open
Risk is traditionally described as the expected likelihood of an undesirable outcome, such as collisions for autonomous vehicles. Accurately predicting risk or potentially risky situations is critical for the safe operation of autonomous v…
View article: Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection Open
We propose a safe DRL approach for autonomous vehicle (AV) navigation through crowds of pedestrians while making a left turn at an unsignalized intersection. Our method uses two long-short term memory (LSTM) models that are trained to gene…
View article: F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning Open
Deep learning has achieved remarkable success in object recognition tasks through the availability of large scale datasets like ImageNet. However, deep learning systems suffer from catastrophic forgetting when learning incrementally withou…