A systematic cross-corpus analysis of human reactions to robot conversational failures
In this paper, we analyze multimodal behavioral responses to robot failures across different
tasks. Two multimodal datasets are examined in which humans interact with guided-task …
tasks. Two multimodal datasets are examined in which humans interact with guided-task …
Overview of the sixth dialog system technology challenge: DSTC6
This paper describes the experimental setups and the evaluation results of the sixth Dialog
System Technology Challenges (DSTC6) aiming to develop end-to-end dialogue systems …
System Technology Challenges (DSTC6) aiming to develop end-to-end dialogue systems …
The role of conversational grounding in supporting symbiosis between people and digital assistants
In" smart speaker''digital assistant systems such as Google Home, there is no visual user
interface, so people must learn about the system's capabilities and limitations by …
interface, so people must learn about the system's capabilities and limitations by …
Proximic: Convenient voice activation via close-to-mic speech detected by a single microphone
Wake-up-free techniques (eg, Raise-to-Speak) are important for improving the voice input
experience. We present ProxiMic, a close-to-mic (within 5 cm) speech sensing technique …
experience. We present ProxiMic, a close-to-mic (within 5 cm) speech sensing technique …
Frownonerror: Interrupting responses from smart speakers by facial expressions
In the conversations with smart speakers, misunderstandings of users' requests lead to
erroneous responses. We propose FrownOnError, a novel interaction technique that …
erroneous responses. We propose FrownOnError, a novel interaction technique that …
Miscommunication detection and recovery in situated human–robot dialogue
M Marge, AI Rudnicky - ACM Transactions on Interactive Intelligent …, 2019 - dl.acm.org
Even without speech recognition errors, robots may face difficulties interpreting natural-
language instructions. We present a method for robustly handling miscommunication …
language instructions. We present a method for robustly handling miscommunication …
Long-term, in-the-wild study of feedback about speech intelligibility for k-12 students attending class via a telepresence robot
M Rueben, M Syed, E London, M Camarena… - Proceedings of the …, 2021 - dl.acm.org
Telepresence robots offer presence, embodiment, and mobility to remote users, making
them promising options for homebound K-12 students. It is difficult, however, for robot …
them promising options for homebound K-12 students. It is difficult, however, for robot …
Where and why is my bot failing? A visual analytics approach for investigating failures in Chatbot conversation flows
The ongoing coronavirus pandemic has accelerated the adoption of AI-powered task-
oriented chatbots by businesses and healthcare organizations. Despite advancements in …
oriented chatbots by businesses and healthcare organizations. Despite advancements in …
What went wrong and why? diagnosing situated interaction failures in the wild
Effective situated interaction hinges on the well-coordinated operation of a set of
competencies, including computer vision, speech recognition, and natural language, as well …
competencies, including computer vision, speech recognition, and natural language, as well …
Zero-Shot Learning to Enable Error Awareness in Data-Driven HRI
Data-driven social imitation learning is a minimally-supervised approach to generating robot
behaviors for human-robot interaction (HRI). However, this type of learning-based approach …
behaviors for human-robot interaction (HRI). However, this type of learning-based approach …