Henny Admoni
Biographic Data
| ID | 5118813 |
|---|---|
| NAME | Henny Admoni |
| GIVEN NAMES | Henny |
| FAMILY NAME | Admoni |
| SIGNATURE | ADMONI H |
| AFFILIATIONS | Carnegie Mellon University |
| ORCID | 0000-0003-1796-2196 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 22 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Improving the Transparency of Robot Policies Using Demonstrations and Reward Communication
Demonstrations are a powerful way to teach robot decision-making to humans. Although informative demonstrations may be selected a priori using the machine teaching framework, student learning may deviate from the pre-selected curriculum in situ. This article thus explores augmenting a curriculum of pre-selected demonstrations with a closed-loop teaching framework inspired by principles from the education literature, such as the zone of proximal d…
Teaching agents to understand teamwork: Evaluating and predicting collective intelligence as a latent variable via Hidden Markov Models
SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation
The human-robot interaction community has developed many methods for robots to navigate safely and socially alongside humans. However, experimental procedures to evaluate these works are usually constructed on a per-method basis. Such disparate evaluations make it difficult to compare the performance of such methods across the literature. To bridge this gap, we introduce SocNavBench , a simulation framework for evaluating social navigation algori…
Metrics for Robot Proficiency Self-assessment and Communication of Proficiency in Human-robot Teams
As development of robots with the ability to self-assess their proficiency for accomplishing tasks continues to grow, metrics are needed to evaluate the characteristics and performance of these robot systems and their interactions with humans. This proficiency-based human-robot interaction (HRI) use case can occur before, during, or after the performance of a task. This article presents a set of metrics for this use case, driven by a four-stage c…
Building the Foundation of Robot Explanation Generation Using Behavior Trees
As autonomous robots continue to be deployed near people, robots need to be able to explain their actions. In this article, we focus on organizing and representing complex tasks in a way that makes them readily explainable. Many actions consist of sub-actions, each of which may have several sub-actions of their own, and the robot must be able to represent these complex actions before it can explain them. To generate explanations for robot behavio…
Social Eye Gaze in Human-Robot Interaction: A Review
This article reviews the state of the art in social eye gaze for human-robot interaction (HRI). It establishes three categories of gaze research in HRI, defined by differences in goals and methods: a human-centered approach, which focuses on people's responses to gaze; a design-centered approach, which addresses the features of robot gaze behavior and appearance that improve interaction; and a technology-centered approach, which is concentrated o…
Effects of form and motion on judgments of social robots׳ animacy, likability, trustworthiness and unpleasantness
One of robot designers׳ main goals is to make robots as sociable as possible. Aside from improving robots׳ actual social functions, a great deal of effort is devoted to making them appear lifelike. This is often achieved by endowing the robot with an anthropomorphic body. However, psychological research on the perception of animacy suggests another crucial factor that might also contribute to attributions of animacy: movement characteristics. In …
Robots for Use in Autism Research
Autism spectrum disorders are a group of lifelong disabilities that affect people's ability to communicate and to understand social cues. Research into applying robots as therapy tools has shown that robots seem to improve engagement and elicit novel social behaviors from people (particularly children and teenagers) with autism. Robot therapy for autism has been explored as one of the first application domains in the field of socially assistive r…
Effects of form and motion on judgments of social robots׳ animacy, likability, trustworthiness and unpleasantness
One of robot designers׳ main goals is to make robots as sociable as possible. Aside from improving robots׳ actual social functions, a great deal of effort is devoted to making them appear lifelike. This is often achieved by endowing the robot with an anthropomorphic body. However, psychological research on the perception of animacy suggests another crucial factor that might also contribute to attributions of animacy: movement characteristics. In …
Robots for Use in Autism Research
Autism spectrum disorders are a group of lifelong disabilities that affect people's ability to communicate and to understand social cues. Research into applying robots as therapy tools has shown that robots seem to improve engagement and elicit novel social behaviors from people (particularly children and teenagers) with autism. Robot therapy for autism has been explored as one of the first application domains in the field of socially assistive r…
Effects of form and motion on judgments of social robots׳ animacy, likability, trustworthiness and unpleasantness
One of robot designers׳ main goals is to make robots as sociable as possible. Aside from improving robots׳ actual social functions, a great deal of effort is devoted to making them appear lifelike. This is often achieved by endowing the robot with an anthropomorphic body. However, psychological research on the perception of animacy suggests another crucial factor that might also contribute to attributions of animacy: movement characteristics. In …
Social Eye Gaze in Human-Robot Interaction: A Review
This article reviews the state of the art in social eye gaze for human-robot interaction (HRI). It establishes three categories of gaze research in HRI, defined by differences in goals and methods: a human-centered approach, which focuses on people's responses to gaze; a design-centered approach, which addresses the features of robot gaze behavior and appearance that improve interaction; and a technology-centered approach, which is concentrated o…
Building the Foundation of Robot Explanation Generation Using Behavior Trees
As autonomous robots continue to be deployed near people, robots need to be able to explain their actions. In this article, we focus on organizing and representing complex tasks in a way that makes them readily explainable. Many actions consist of sub-actions, each of which may have several sub-actions of their own, and the robot must be able to represent these complex actions before it can explain them. To generate explanations for robot behavio…
SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation
The human-robot interaction community has developed many methods for robots to navigate safely and socially alongside humans. However, experimental procedures to evaluate these works are usually constructed on a per-method basis. Such disparate evaluations make it difficult to compare the performance of such methods across the literature. To bridge this gap, we introduce SocNavBench , a simulation framework for evaluating social navigation algori…
Metrics for Robot Proficiency Self-assessment and Communication of Proficiency in Human-robot Teams
As development of robots with the ability to self-assess their proficiency for accomplishing tasks continues to grow, metrics are needed to evaluate the characteristics and performance of these robot systems and their interactions with humans. This proficiency-based human-robot interaction (HRI) use case can occur before, during, or after the performance of a task. This article presents a set of metrics for this use case, driven by a four-stage c…
Teaching agents to understand teamwork: Evaluating and predicting collective intelligence as a latent variable via Hidden Markov Models
Improving the Transparency of Robot Policies Using Demonstrations and Reward Communication
Demonstrations are a powerful way to teach robot decision-making to humans. Although informative demonstrations may be selected a priori using the machine teaching framework, student learning may deviate from the pre-selected curriculum in situ. This article thus explores augmenting a curriculum of pre-selected demonstrations with a closed-loop teaching framework inspired by principles from the education literature, such as the zone of proximal d…
Computer Science (8 works) · Artificial Intelligence (6 works) · Human–computer interaction (6 works) · Psychology (6 works) · Robot (6 works) · Social Robot Interaction and HRI (4 works) · Human–robot interaction (3 works) · Mobile robot (3 works) · Robot control (3 works) · Social robot (3 works)