Suzuki, S., Saeki, M., & Matsuura, R. (2023, June). Pedagogical potential of multimodal conversational AI for foreign language learning and assessment. Paper presented at Korean PhD students and researchers in the UK (KRUK) (Zoom).

Suzuki, S., Saeki, M., & Matsuura, R. (2022, July). Development of Online Language Learning Assistant AI System that Grows with Humans. International Collaborative Practice S V: Computer-Assisted Language Learning, University of Tokyo.

Shungo Suzuki, The role of creativity in L2 speech production: The importance of both cognitive and social-personality approaches, International Online Symposium on Individual Differences and Creativity in L2 learning, Universidad de La Rioja, Spain, June. 2022．

Shungo Suzuki and Ryuki Matsuura, L2 oral fluency: From the construct definition to automated scoring,
Applied Linguistics Research Circle Weekly Talk, Department of English Language and Applied Linguistics, University of Reading, Feb. 2022.

Shungo Suzuki, What linguistic knowledge contributes to second language oral fluency? The case of Japanese learners of English，West Tokyo JALT，Dec. 2021．

Suzuki, S. L2 oral fluency: Towards bridging a gap between SLA research and language testing, the Japan Association for Language Education and Technology, Methodology Special Interest Group, November 2021.

Yoichi Matsuyama, Tutorial English AI: Towards a Conversational AI that Evolves with People, NTT Media Intelligence Laboratory, March 2021.

Jun Ogara，Yoichi Matsuyama, NEDO Next-Generation Artificial Intelligence that Evolves with People,  IPSJ Research Report (SLP)，Feb. 2021.

Eguchi, M. (2022). Modeling lexical and phraseological sophistication in oral proficiency interviews: A conceptual replication. Vocabulary Learning and Instruction, 11(2), 1–16. https://doi.org/10.7820/vli.v11. 2.Eguchi

Kurata, F., Saeki, M., Shinya F., & Yoichi M. (2023). Multimodal Turn-Taking Model Using Visual Cues for End-of-Utterance Prediction in Spoken Dialogue Systems. Proc. The 24th Annual Conference of the International Speech Communication Association (INTERSPEECH2023), Dublin, Ireland.

Suzuki, S., Matsuura, R., Inada, Y., Saeki, M., & Matsuyama, Y. (2023, July). What temporal and dialogic features distinguish between second language oral proficiency levels? The case of oral proficiency interview. In P. Peltonen. & C. Wright (Conveners), Fluency as a multilingual practice: Concepts and challenges. Colloquium conducted at the 20th Annual Congress of International Association of Applied Linguistics (AILA), University of Lyon, France.

Matsuura, R., & Suzuki, S. (2023). Prompt-independent automated scoring of L2 oral fluency by capturing prompt effects. The 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan.

Matsuura, R. (2023, June). Developing and validating automatic annotation system of silent pause locations and disfluency words. Language Testing Research Colloquium (LTRC 2023) Poster.

Yoichi Matsuyama, Shungo Suzuki, Mao Saeki, Hiroaki Takatsu, Ryuki Matsuura, Yuya Arai, (2023, June). Towards an explainable automated scoring of spoken interaction with a conversational AI agent. Language Testing Research Colloquium (LTRC 2023) Research paper in Symposium.

Takizawa, K., Kiyota, A., Suzuki, S., Sawaki, Y., Matsumura, K., Oi, Y., Deng, Y. (2023, June). Developing an interactional competence rating scale for a university speaking placement test: Insights from existing rating scales and performance data. Language Testing Research Colloquium (LTRC 2023) Works-in-Progress.

Suzuki, S., Tanaka, R., Takizawa, K., Eguchi, M., Saeki, M., Matsuyama, Y. (2023, June). Linguistic, discourse and functional aspects of interactional competence across proficiency levels: The case of paired oral discussion task. Language Testing Research Colloquium (LTRC 2023) Research Paper.

Mao S., Kotoka M., Shinya F., Shungo S., Tetsuji O., Tetsunori K., Yoichi M. (2022). Confusion detection for adaptive conversational strategies of an oral proficiency assessment interview agent. Proc. The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH2022), Incheon, Korea.

Suzuki, S., Matsuura, R., Saeki, M., & Matsuyama, Y. What temporal features distinguish between second language oral proficiency levels? The case of Japanese learners of English, the 31st annual conference of the European Second Language Association (EUROSLA 2022), Research paper.

Suzuki, S., Matsuura, R., Saeki, M., & Matsuyama, Y. How is dialogic fluency different from monologic fluency? The case of oral proficiency interview, the 9th International Conference on Task-based language teaching (TBLT 2022), Research paper.

Takagi, R., Suzuki, S., Saeki, M., & Matsuyama, Y. Balancing interactional authenticity and variability in the assessment of interactional competence: A comparative study of human interlocutors and conversational virtual agent, Language Testing Research Colloquium (LTRC 2022) Work-in-progress.

Suzuki, S., Matsuura, R., Saeki, M., & Matsuyama, Y. Revisiting the assessment potential of read-aloud speech performance: Cognitive validity and predictive validity, Language Testing Research Colloquium (LTRC 2022) Research paper.

Mao Saeki, Weronika Demkow, Tetsunori Kobayashi, and Yoichi Matsuyama, “A WoZ Study for an Incremental Proficiency Scoring Interview Agent Eliciting Ratable Samples“, 12th International Workshop on Spoken Dialog System Technology (IWSDS 2021), to appear.

Mao Saeki, Yoichi Matsuyama, Satoshi Kobashikawa, Tetsuji Ogawa, Tetsunori Kobayashi, “Analysis of Multimodal Features for Speaking Proficiency Scoring in An Interview Dialogue,” Proc. The 8th IEEE Spoken Language Technology Workshop (SLT2021), pp.629-635, Jan. 2021.

“Tutorial English AI プロジェクト“, Waseda Open Innovation Forum 2021 (WOI’21), March 10, 2021. https://waseda-oif21.jp/

Waseda Open Innovation Forum 2021