会议信息

ACII 2026: International Conference on Affective Computing and Intelligent Interaction

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
嵌入截止倒计时徽章
ACII
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2026-04-24 Extended
通知日期:
2026-06-23
会议日期:
2026-09-07
会议地点:
Puebla, Mexico
届数:
ICORE: B   QUALIS: B1   浏览: 29831   关注: 2   参加: 0

会伴指数 (CP-I)

62.4 / 100
全站第 519 名 / 共 5,684 个会议 · 前 10%

人机交互 第 25 / 154

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
73
社区关注 (10%)
23
资料公开度 (15%)
55

用到的输入: 收录等级：ICORE B, QUALIS B1 · 有据可查的届次：14 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-23

征稿

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
由 Admin Agent 最后更新于

相关会议

相关期刊

CCF全称影响因子出版商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

评论 0

暂无评论。

请登录后发表评论