The Limitations of Current Similarity-Based Objective Metrics in the Context of Human-Agent Interaction Applications

Author:

Deffrennes Armand1ORCID,Vincent Lucile1ORCID,Pivette Marie1ORCID,El Haddad Kevin2ORCID,Bailey Jacqueline Deanna3ORCID,Perusquia-Hernandez Monica4ORCID,Alarcão Soraia M.5ORCID,Dutoit Thierry2ORCID

Affiliation:

1. ISIA, University of Mons, Belgium

2. University of Mons, Belgium

3. University of Newcastle, Australia

4. Cybernetics and Reality Engineering Laboratory, Nara Institute of Science and Technolgy, Japan

5. LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal

Publisher

ACM

Reference5 articles.

1. Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations

2. Facial action coding system: a technique for the measurement of facial movement;Friesen E;Palo Alto,1978

3. Scott Geng , Revant Teotia , Purva Tendulkar , Sachit Menon , and Carl Vondrick . 2023. Affective Faces for Goal-Driven Dyadic Communication. arXiv preprint arXiv:2301.10939 ( 2023 ). Scott Geng, Revant Teotia, Purva Tendulkar, Sachit Menon, and Carl Vondrick. 2023. Affective Faces for Goal-Driven Dyadic Communication. arXiv preprint arXiv:2301.10939 (2023).

4. Koji Inoue , Divesh Lala , and Tatsuya Kawahara . 2022. Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue. Frontiers in Robotics and AI 9 ( 2022 ). https://doi.org/10.3389/frobt.2022.933261 10.3389/frobt.2022.933261 Koji Inoue, Divesh Lala, and Tatsuya Kawahara. 2022. Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue. Frontiers in Robotics and AI 9 (2022). https://doi.org/10.3389/frobt.2022.933261

5. Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion

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