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ACII 2026: International Conference on Affective Computing and Intelligent Interaction

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投稿締切日:
2026-04-24 Extended
通知日:
2026-06-23
開催日:
2026-09-07
開催地:
Puebla, Mexico
開催回数:
ICORE: B   QUALIS: B1   閲覧: 29830   フォロー: 2   参加: 0

会伴インデックス (CP-I)

62.4 / 100
全 5,684 件中 第 519 位 · 上位 10%

ヒューマンコンピュータインタラクション 分野 154 件中 第 25 位

学術的評価 (35%)
78
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
73
コミュニティの注目度 (10%)
23
公開情報の充実度 (15%)
55

使用した入力: 収録ランク：ICORE B, QUALIS B1 · 確認できる開催回数：14 · 会伴でフォローしている研究者：2 人 · 過去 24 か月にこのページを開いた研究者：4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-23

論文募集

ACII 2026 (International Conference on Affective Computing and Intelligent Interaction) is a ICORE B / QUALIS B1 conference held in Puebla, Mexico on 2026-09-07. The paper submission deadline is 2026-04-24 (extended). Acceptance notifications are sent on 2026-06-23.

The Association for the Advancement of Affective Computing (AAAC) invites you to join us at our 14th International Conference on Affective Computing and Intelligent Interaction (ACII), which will be held which will be held as an in-person event in Puebla, Mexico on September 7th – 10th, 2026. Accepted papers must be presented by one of the paper’s authors. The ACII conference series is the premier international venue for interdisciplinary research on the design of systems that can recognise, interpret, and simulate human emotions and, more generally, affective phenomena. The conference is technically co-sponsored by the IEEE Computer Society (PAMI-TC). All accepted papers will be included in IEEE Xplore and indexed by EI. A selection of the best articles at ACII 2026 will be invited to submit extended versions to the IEEE Transactions on Affective Computing. The conference will be co-located with IVA (Intelligent Vritual Agent Conference) 2026. The theme for ACII 2026 is Emotions beyond borders: Multicultural Affective Computing. Multicultural affective computing is the study and development of systems that can recognize and respond to human emotions across different cultural contexts. It considers how cultural norms, expressions, and interpretations of emotions vary, ensuring that emotion-aware technologies interact appropriately and accurately with users from diverse backgrounds. See topics of interest below and the Main Track, Special Track, and Workshop Papers submission guidelines for more details. ACII 2026 also offers a paper-to-demo fast track for authors of main track papers that include an interactive system, prototype, simulator, or tool. If authors opt in and their main track papers are accepted, the work in the accepted paper will be additionally considered for the demo track. Due to space and logistics constraints, there will be a final selection of demos (from both the paper-to-demo fast track and the standard demo track submissions). This will be done by demo chairs and based on relevance to the conference, technical robustness, and diversity of topics. Please see the Call for Interactive Demos for more details. Topics of interest include, but are not limited to: Recognition and Synthesis of Human Affect from ALL Modalities Multimodal Modeling of Cognitive and Affective States Contextualized Modeling of Cognitive and Affective States Multimodal Data Fusion for Affect Recognition Summarisation of Affective Behaviour Synthesis of Multimodal Affective Behaviour Facial and Body Gesture Recognition, Modeling, and Animation Motion Capture for Affect Recognition Affective Speech Analysis, Recognition, and Synthesis Recognition and Synthesis of Auditory Affect Bursts (Laughter, Cries, etc.) Affective Text Processing and Sentiment Analysis Affect Recognition and Expression in Large Language Models (LLMs) Affect Recognition from Alternative Modalities (Physiology, Brain Waves, etc.) Affective Science using Affective Computing Tools Studies of affective behavior perception using computational tools Studies of affective behavior production using computational tools Studies of affect in medical/clinical settings using computational tools Studies of affect in context using computational tools Psychology & Cognition of Affect in Designing Computational Systems Computational Models of Affective Processes Issues in Psychology & Cognition of Affect in Affective Computing Systems Cultural Differences in Affective Design and Interaction Affective Interfaces Interfaces for Monitoring and Improving Mental and Physical Well-Being Design of Affective Loop and Affective Dialogue Systems Human-Centred Human-Behaviour-Adaptive Interfaces Interfaces for Attentive & Intelligent Environments Mobile, Tangible and Virtual/Augmented Multimodal Proactive Interfaces Distributed/Collaborative Multimodal Proactive Interfaces Tools and System Design Issues for Building Affective and Proactive Interfaces Evaluation of Affective, Behavioural, and Proactive Interfaces Affective, Social and Inclusive Robotics and Virtual Agents Artificial Agents for Supporting Mental and Physical Well-Being Emotion in Robot and Virtual Agent Cognition and Action Embodied Emotion Biologically-Inspired Architectures for Affective and Social Robotics Developmental and Evolutionary Models for Affective and Social Robotics Models of Emotion for Embodied Conversational Agents Personality in Embodied Conversational Agents Memory, Reasoning, and Learning in Affective Conversational Agents Affect and Group Emotions Analyzing and modeling groups taking into account emergent states and/or emotions Integration of artificial agents (robots, virtual characters) in the group life by leveraging its affective loop: interaction paradigms, strategies, modalities, adaptation Collaborative affective interfaces (e.g., for inclusion, for education, for games and entertainment) Open Resources for Affective Computing Shared Datasets for Affective Computing Benchmarks for Affective Computing Open-source Software/Tools for Affective Computing Fairness, Accountability, Privacy, Transparency and Ethics in Affective Computing Bias, imbalance and inequalities in data and modeling approaches in the context of Affective Computing Bias mitigation in the context of Affective Computing Explainability and Transparency in the context of Affective Computing Privacy-preserving affect sensing and modeling Ethical aspects in the context of Affective Computing Applications User Experience Health and well-being Education Entertainment Consumer Products
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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Advanced Computational Intelligence: An International JournalAIRCC2454-3934
BIEEE Transactions on Affective Computing9.6IEEE1949-3045
IEEE Transaction on Affective ComputingIEEE1949-3045
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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