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ACII-DaiKon workshop launches benchmark for dyadic conversation affect and social dynamics

A new benchmark, ACII-DaiKon, has been introduced to evaluate models on interpersonal dynamics within dyadic conversations. This benchmark focuses on directional influence, turn-taking, and rapport development, moving beyond speaker-centric approaches. It utilizes the Hume-DaiKon dataset, comprising over 700 hours of audiovisual data across five languages, to support multimodal and temporal reasoning. AI

IMPACT Establishes a new evaluation standard for conversational AI, pushing research towards more nuanced understanding of interpersonal dynamics.

RANK_REASON This is a research paper introducing a new benchmark and dataset for conversational AI.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

ACII-DaiKon workshop launches benchmark for dyadic conversation affect and social dynamics

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Panagiotis Tzirakis, Alice Baird, Jeffrey Brooks, Emilia Parada-Cabaleiro, Lukas Stappen, Sharath Rao, Theo Lebryk, Jakub Piotr Clapa, Jens Madsen ·

    The 2026 ACII Dyadic Conversations (DaiKon) Workshop & Challenge

    arXiv:2605.02672v1 Announce Type: cross Abstract: The 2026 ACII Dyadic Conversations (ACII-DaiKon) Workshop & Challenge introduces a benchmark for modeling interpersonal affect and social dynamics in dyadic conversations. Although conversational affect modeling has advanced rapid…

  2. arXiv cs.CL TIER_1 English(EN) · Jens Madsen ·

    The 2026 ACII Dyadic Conversations (DaiKon) Workshop & Challenge

    The 2026 ACII Dyadic Conversations (ACII-DaiKon) Workshop & Challenge introduces a benchmark for modeling interpersonal affect and social dynamics in dyadic conversations. Although conversational affect modeling has advanced rapidly, most benchmarks remain speaker-centric and und…