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Found 12 papers, 1 papers with code
A multi-party attentive listening robot which stimulates involvement from side participants
We demonstrate the moderating abilities of a multi-party attentive listening robot system when multiple people are speaking in turns.
Simultaneous Job Interview System Using Multiple Semi-autonomous Agents
We propose a simultaneous job interview system, where one interviewer can conduct one-on-one interviews with multiple applicants simultaneously by cooperating with the multiple autonomous job interview dialogue systems.
An Attentive Listening System with Android ERICA: Comparison of Autonomous and WOZ Interactions
The proposed system generates several types of listener responses: backchannels, repeats, elaborating questions, assessments, generic sentimental responses, and generic responses.
Evaluation of a semi-autonomous attentive listening system with takeover prompting
To this end, we propose a semi-autonomous system, where a remote operator can take control of an autonomous attentive listening system in real-time.
Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue
This study introduces the first framework designed to engender empathetic dialogue with validating responses.
An Analysis of User Behaviors for Objectively Evaluating Spoken Dialogue Systems
To address this issue, we propose a framework for indirectly but objectively evaluating systems based on users' behaviors.
Towards Objective Evaluation of Socially-Situated Conversational Robots: Assessing Human-Likeness through Multimodal User Behaviors
This paper tackles the challenging task of evaluating socially situated conversational robots and presents a novel objective evaluation approach that relies on multimodal user behaviors.
ERICA: An Empathetic Android Companion for Covid-19 Quarantine
Over the past year, research in various domains, including Natural Language Processing (NLP), has been accelerated to fight against the COVID-19 pandemic, yet such research has just started on dialogue systems.
Intelligent Conversational Android ERICA Applied to Attentive Listening and Job Interview
It has also been evaluated with student subjects, showing promising results.
Designing Precise and Robust Dialogue Response Evaluators
Automatic dialogue response evaluator has been proposed as an alternative to automated metrics and human evaluation.
Attentive listening system with backchanneling, response generation and flexible turn-taking
Second, we propose an effective statement response mechanism which detects focus words and responds in the form of a question or partial repeat.
