Session Description
Recent breakthroughs in generative AI and large language models (LLMs) suggest that AI can dramatically augment scenario planning. For example, NLP techniques can mine vast textual datasets to identify emerging trends and even generate rich scenario narratives automatically. We are seeing early signs of AI-driven scenario generation being used in practice, e.g., using LLMs like ChatGPT to create plausible future stories for business strategy or policymaking. Agentic AI systems can go further by autonomously exploring “what-if” scenarios, iteratively refining them and reacting to human feedback. This could revolutionize how we engage in foresight activities, enabling more dynamic, interactive, and data-grounded scenario work. This session focuses on challenges and opportunities concerning human-agent collaboration that supports interactive co-creation with agentic AI. It covers perspectives from methodological foundations to ethical concerns and real-world applications, bringing together contributions that advance both the theory and practice of human–agent collaboration in scenario planning.
Conference & Proceedings Information
This session will be scheduled to take place between 29–31 July 2026 as a hybrid event, in the context of HCI International 2026 (HCII 2026).
For all hybrid sessions, organizers themselves and most presenters are expected to attend in‑person. Conference attendees are welcome to participate either on‑site or online.
You will be required to indicate your tentative presentation method (on‑site or online) during your proposal submission through the CMS, and confirm it during registration. Your paper will appear in the Conference Proceedings published by Springer in a multi‑volume set. Please prepare your manuscript according to the Springer guidelines.
Suggested Topics (include but not limited to)
- AI‑assisted scenario generation, narrative crafting, and decision support
- Agentic AI systems and human–agent collaboration
- Interactive and data‑driven foresight workflows, tools, and evaluation
- LLM/agent‑supported strategy, policy, and design exploration
- Methodological foundations, UX, and human factors
- Ethics, transparency, risks, and real‑world case studies
Submission & Review
- Review type: Abstract‑based (max. 800 words).
- Please register your interest through the online form first. After completing the form, you will receive an invitation link to the HCII Conference Management System (CMS) to submit your abstract.
- Each session will typically include about 5 papers; more can be accommodated with shorter talks and/or a panel discussion.