collaborators

9 papers

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.RO20243 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.CL20241 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.CL20242 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…