activity
20172026
most citedDetection of social signals for recognizing engagement in human-robot interaction

10 citations · 24 across the 34 of their papers we have counts for

collaborators
Showing 2024Show all

10 papers · 1 filter

cs.CL2024

Human-Like Embodied AI Interviewer: Employing Android ERICA in Real International Conference

Zi Haur Pang, Yahui Fu, Divesh Lala +3

This paper introduces the human-like embodied AI interviewer which integrates android robots equipped with advanced conversational capabilities, including attentive listening, conv…

cs.CL2024

Analysis and Detection of Differences in Spoken User Behaviors between Autonomous and Wizard-of-Oz Systems

Mikey Elmers, Koji Inoue, Divesh Lala +2

This study examined users' behavioral differences in a large corpus of Japanese human-robot interactions, comparing interactions between a tele-operated robot and an autonomous dia…

cs.CL2024★ 1 cited

Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection

Koji Inoue, Divesh Lala, Gabriel Skantze +1

In human conversations, short backchannel utterances such as "yeah" and "oh" play a crucial role in facilitating smooth and engaging dialogue. These backchannels signal attentivene…

cs.RO2024★ 3 cited

Robotic Backchanneling in Online Conversation Facilitation: A Cross-Generational Study

Sota Kobuki, Katie Seaborn, Seiki Tokunaga +6

Japan faces many challenges related to its aging society, including increasing rates of cognitive decline in the population and a shortage of caregivers. Efforts have begun to expl…

cs.CL2024★ 1 cited

Enhancing Long-term RAG Chatbots with Psychological Models of Memory Importance and Forgetting

Ryuichi Sumida, Koji Inoue, Tatsuya Kawahara

While Retrieval-Augmented Generation (RAG) has shown promise in enhancing long-term conversations, the increasing memory load as conversations progress degrades retrieval accuracy.…

cs.CL2024★ 1 cited

Multilingual Turn-taking Prediction Using Voice Activity Projection

Koji Inoue, Bing'er Jiang, Erik Ekstedt +2

This paper investigates the application of voice activity projection (VAP), a predictive turn-taking model for spoken dialogue, on multilingual data, encompassing English, Mandarin…

cs.CL2024

Evaluation of a semi-autonomous attentive listening system with takeover prompting

Haruki Kawai, Divesh Lala, Koji Inoue +2

The handling of communication breakdowns and loss of engagement is an important aspect of spoken dialogue systems, particularly for chatting systems such as attentive listening, wh…

cs.CL2024★ 2 cited

Acknowledgment of Emotional States: Generating Validating Responses for Empathetic Dialogue

Zi Haur Pang, Yahui Fu, Divesh Lala +3

In the realm of human-AI dialogue, the facilitation of empathetic responses is important. Validation is one of the key communication techniques in psychology, which entails recogni…

cs.CL2024

An Analysis of User Behaviors for Objectively Evaluating Spoken Dialogue Systems

Koji Inoue, Divesh Lala, Keiko Ochi +2

Establishing evaluation schemes for spoken dialogue systems is important, but it can also be challenging. While subjective evaluations are commonly used in user experiments, object…

cs.CL2024★ 2 cited

Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection

Koji Inoue, Bing'er Jiang, Erik Ekstedt +2

A demonstration of a real-time and continuous turn-taking prediction system is presented. The system is based on a voice activity projection (VAP) model, which directly maps dialog…