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HCAI4IDS 2026 : Human-Centered AI Support for Immersive Data Sensemaking | |||||||||||||||
| Link: https://hcai4ids.github.io/hcai4ids-workshop/index.html | |||||||||||||||
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Call For Papers | |||||||||||||||
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Call for Contributions for the 1st workshop on Human-Centered AI Support for Immersive Data Sensemaking (HCAI4IDS) organized at NordiCHI 2026 in Vaasa, Finland on the 3rd of October 2026.
We welcome submissions from research students, academics, and industry practitioners whose work relates to Human-Centered AI for Immersive Data Sensemaking (HCAI4IDS). This call intentionally welcomes a broad range of perspectives to encourage exploration of the diverse ways that people and AI can jointly make sense of data in immersive environments. Contributions may present completed research, work in progress, emerging ideas, or critical perspectives in forms of applications, theoretical discussions, prototypes, and system designs. The areas below serve as a starting point rather than a limitation on relevant work. Example Contributions - Design perspectives of HCAI4IDS: How do we design to support joint immersive data sensemaking for single or multiple users and AI agents in shared immersive spaces? - Theoretical HCAI guidelines in IDS: How can we develop design guidelines for different levels and forms of AI integration? - Multimodal human-AI understanding: How can speech, gesture, gaze, and other multimodal techniques help systems understand users' emotions, intentions, and analytical context? - Adaptive AI collaborators: How can AI systems be adapted and personalized to support different stakeholders, user groups, and user experiences? - Initiative and agency: When should AI lead, follow, challenge, or step back, and how should control shift between users and systems? - Trust calibration: How can immersive systems support calibrated rather than amplified trust, helping users align reliance with actual AI reliability? - New HCAI4IDS applications: What new scenarios and application domains can benefit from HCAI-integrated immersive data sensemaking? - Evaluation approaches: How should we evaluate HCAI-supported immersive data sensemaking systems and experiences? Format and Submission Format: Submissions must be written in English and prepared with the ACM double-column proceedings template. (please see the workshop webpage) Length: Extended abstracts should be 2-4 pages, excluding references. Content: Submissions may describe research, prototypes, applications, theoretical discussions, system designs, or work in progress relevant to HCAI4IDS. Submission: Submissions must be sent as PDF files to organizers.hcai4ids@gmail.com. |
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