Papers
10
Total Citations
100
H-Index
4
About
Anton Leuski is a leading researcher in human-robot interaction, specializing in social dialogue, trust repair, and collaborative navigation systems. His groundbreaking work explores how conversational errors affect human trust in robots, demonstrating that social dialogue can both mitigate and exacerbate trust loss—a finding with 57 citations in his seminal paper "Getting to Know Each Other." Leuski pioneered Wizard-of-Oz methodologies for collecting natural human-robot dialogue, developing tools like the Yellow Brick Road interface and the ScoutBot system that enable unconstrained spoken language commands for collaborative exploration. His Niki and Julie corpus, featuring a robot and virtual human, provides a foundational resource for studying multimodal social influence, while his work on "plays and audibles" advances human-swarm teaming. With over 100 total citations across his publications, Leuski’s contributions have shaped how researchers design socially aware robots capable of navigating complex conversational dynamics. His recent SCOUT corpus (2024) continues this trajectory, offering a rich dataset for situated, multi-modal dialogue understanding. Leuski’s research bridges the critical gap between technical dialogue systems and the nuanced social behaviors that make human-robot interaction truly effective.
Research Focus
Key Achievements
Top Papers
- 1Getting to Know Each Other57 citations · 2018
- 2The Role of Social Dialogue and Errors in Robots11 citations · 2017
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- 5A Classification-Based Approach to Automating Human-Robot Dialogue4 citations · 2021
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- 7ScoutBot: A Dialogue System for Collaborative Navigation4 citations · 2018
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- 9Balancing Efficiency and Coverage in Human-Robot Dialogue Collection2 citations · 2018
- 10SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus2 citations · 2024