会议信息

HAXD 2026: International Conference on Human-AI Interaction and Experience Design

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
HAXD
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:
2026-03-10 Extended
通知日期:
2026-04-15
会议日期:
2026-06-09
会议地点:
Valencia, Spain
届数:
2
浏览: 2699   关注: 0   参加: 0

会伴指数 (CP-I)

39.5 / 100
全站第 5,263 名 / 共 5,693 个会议 · 前 93%

人机交互 第 148 / 154

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 有据可查的届次：2 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 45% —— 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 2026-10-05

征稿

HAXD 2026 (International Conference on Human-AI Interaction and Experience Design) is an academic conference held in Valencia, Spain on 2026-06-09. The paper submission deadline is 2026-03-10 (extended). Acceptance notifications are sent on 2026-04-15.

Scope Artificial intelligence has become deeply embedded in our daily lives, transforming how we work, learn, manage our health, and interact, enjoy entertainment, and engage with public services. As AI systems grow more sophisticated and pervasive, the quality of human-AI interaction emerges as the critical factor determining whether these technologies truly benefit users and society. HAXD 2026 focuses on the design and experience of human-AI interaction—examining not just what AI can do, but how people actually interact with these systems and what experiences result from these interactions. We are interested in understanding and improving the full spectrum of user outcomes: usefulness, usability, trust, cognitive workload, user satisfaction, safety, fairness, accessibility, and long-term societal impact. The conference welcomes research and design work spanning diverse AI technologies—including foundation models, conversational agents, recommendation systems, computer vision and speech interfaces, interactive machine learning systems, and emerging AI paradigms. We welcome submissions that consider the full diversity of users, from researchers to practitioners, multilingual communities, cross-cultural populations, and people with disabilities. Similarly, we embrace work across all environments where human-AI interaction occurs: homes, workplaces, educational settings, healthcare contexts, civic technologies, creative tools, social platforms, and emerging application domains. We welcome submissions concerning how humans and AI systems communicate, collaborate, and co-create value together. Whether you are designing new interaction paradigms, evaluating existing AI experiences, developing methodologies for AI usability research, or exploring the societal implications of AI interaction design, we want to hear from your work. HAXD 2026 aims to build a community of researchers, designers, and practitioners committed to ensuring that as AI becomes more powerful, it also becomes more human-centered, inclusive, and genuinely beneficial to the diverse communities it serves. Research Topics We invite submissions on a wide range of topics related to Human-AI Interaction and Experience Design, including but not limited to: Human-AI Interaction Design Conversational interfaces and dialogue design for AI systems Multimodal interaction paradigms (voice, gesture, text, visual) Adaptive and personalized AI interfaces Trust and transparency in AI system design User agency and control in automated systems Explainable AI interfaces and visualization Error handling and failure recovery in AI interactions User Experience for AI Systems UX methodologies for AI-enabled products and services User journey mapping for AI-assisted workflows Onboarding and mental model formation for AI systems User feedback and AI system improvement Accessibility and inclusive design for AI interfaces Cross-cultural design considerations for global AI systems Emotional design and affective computing in AI interfaces Collaborative AI and Agentic Systems Human-AI collaboration frameworks and design patterns Agentic AI workflow design and user experience Co-creation and co-design with AI systems AI assistants and virtual agents interaction design Human-in-the-loop AI system design Delegation and supervision in AI-assisted tasks Team dynamics in human-AI collaborative environments Evaluation and Methodology Usability testing methods for AI systems User research techniques for AI interaction design Metrics and evaluation frameworks for human-AI experiences Longitudinal studies of AI system adoption and use Comparative analysis of AI interaction paradigms Design thinking and participatory design for AI systems Prototyping tools and techniques for AI interfaces Ethics and Responsible AI Design Privacy and data protection in AI user interfaces Bias mitigation through inclusive design practices Algorithmic transparency and user understanding Consent and user control in AI data collection Ethical considerations in persuasive AI design Fairness and equity in AI system access and use Social implications of AI interaction design decisions Domain Applications Healthcare AI interfaces and patient experience Educational AI systems and learning experience design Workplace AI tools and productivity interfaces Creative AI systems and artistic collaboration Autonomous systems and human oversight interfaces Smart home and IoT AI interaction design Financial AI services and user trust Emerging Technologies and Future Directions Virtual and augmented reality AI interfaces Brain-computer interfaces for AI interaction Embodied AI and robotics interaction design Large language model interface design Generative AI user experience and creative workflows AI-powered personalization and recommendation systems Future interaction paradigms and speculative design
由 Dou Sun 最后更新于

相关会议

相关期刊

CCF全称影响因子出版商ISSN
AArtificial Intelligence4.6Elsevier0004-3702
Concurrency Computation Practice and Experience1.5Wiley1532-0626
CConcurrency and Computation: Practice and Experience2.2Wiley1532-0634
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