Call for Case Studies

We invite AI practitioners and researchers from across disciplines (including but not limited to art, game development, robotics, teaching, and research) to share their experiences in applying AI principles and methods to the world of digital entertainment via a case study. We also invite researchers and practitioners to share their interactive prototypes, software, and other digital projects that show novel applications of AI to entertainment.

We have funding through AIJ and will be able to support limited student and practitioner registration through reimbursement in some cases. The exact amount will depend on the number of attendees and degree of need.

Important Dates

All deadlines are 11:59 PM AoE (anywhere on earth) time (UTC-12).

Submission (via Easychair): July 9
Author Notification: August 9
Final Camera-ready due: August 29

Submission:

Title (10 word maximum)
Minimum 500 word outline of the case study or description of the demo
Supplementary materials (e.g. slides, external web link to the demo or system, video, images, link to download a game, etc.)
https://easychair.org/my/conference?conf=aiide25

About Case Studies

What is a Case Study?

A compelling case study is a real-world story that demonstrates the application of AI in practice. It should provide insights into the challenges faced, solutions implemented, and lessons learned. Your case study should be informative and engaging for other AIIDE community members.

Case Study Focus

Case Studies should focus on the application of AI to address specific problems or opportunities within the realm of digital entertainment. They should provide a clear and compelling account of the project, including its goals, methods, results, and impact.

Case Studies can illustrate, explore, report, analyze, summarize, challenge, or describe practice-oriented AI work. Possible topics include, but are not limited to, the following:

Design and development of specific AI-enabled experiences (AI-Driven Narrative Generation, Procedural Content Generation, AI-Powered Character Behavior, Personalized Gaming Experiences)
Exploration of novel AI techniques for use in games and entertainment (Reinforcement Learning for Game AI, Generative Adversarial Networks (GANs) for Game Assets, Natural Language Processing (NLP) for Interactive Storytelling, Machine Learning for Player Behavior Analysis)
Lessons from deploying AI techniques in games and other entertainment products (Overcoming AI Challenges in Production, Measuring the Impact of AI on Player Experience, Balancing AI Complexity and Performance, Ethical Considerations in AI for Entertainment)
Research of a specific AIIDE domain, user group, or experience (AI for Indie Game Development, AI in Mobile Games, AI for Accessibility in Gaming, AI for Esports)
Application, critique, or evolution of a method, process, or tool (Improving AI-Driven Character Behavior through Reinforcement Learning, Evaluating the Effectiveness of Different AI Architectures for Procedural Generation, Optimizing AI Performance for Real-Time Gameplay, Ethical Frameworks for AI in Games)
Domain-specific topics, significantly lesser known but essential fields of interest (AI for AR/VR, AI for Social Gaming and Multiplayer Experiences, AI for Educational Games, AI for Serious Games)
Innovation through AIIDE research or design (AI-Driven Game Design Tools, AI for Automating Game Testing, AI for Game Analytics and Player Insights, AI for Creating Novel Game Genres)
Application of state-of-the-art AI techniques, methodologies, or models as applied to game design via a tool or prototype (generative models, diffusion models)

Case Study Outline Structure

A well-structured Case Study outline should include the following elements:

Problem Statement: Clearly define the challenge or opportunity addressed by the AI project.
AI Approach: Describe the AI techniques and methodologies employed.
Implementation Details: Provide technical details about the AI system, including data, algorithms, and tools.
Lessons Learned: Share insights and recommendations based on the project experience.
Impact: Discuss the potential impact of the Case Study on the AIIDE community and the broader field.

What counts as AI?

This track is “AI maximalist”. We will accept the application of any technologies that automate decision making. This includes utility systems, finite state machines, behavior trees, and production rule systems, along with planning, search, and machine learning (supervised, unsupervised, or reinforcement) approaches. However, the preference for this track is in novel applications of AI technology. An NPC controlled via a behavior tree is unlikely to be accepted, as this is common practice, but a behaviour tree applied to an atypical task could be.

How to Submit

All submissions should be made via EasyChair in the Case Studies Track.

Submit an outline of your case study as a PDF, explaining its significance to the AIIDE community. Your proposal will be reviewed based on technical merit, accessibility, originality, presentation, impact, and significance. Accepted proposals will be given the option of either a short presentation (15 minutes) and/or to participate in a demo session during the conference’s poster session.

Submission Guidelines

The submission may be augmented with supplementary materials or media (e.g. interactive prototypes, videos, pictures, paper drafts).

Accepted case studies will be asked to submit a preliminary slide deck for review before the conference, and will be given feedback to help position the talk for the AIIDE community.

Submissions will be included as extended abstracts in the proceedings (up to four pages, excluding references, but most final published versions will be expected to be one page). Presenters will be given the option to either submit this final version of the extended abstract themselves or to have the organizers submit an edited version of their initially submitted outline.

We will aim to record talks and make videos and slides available online after the conference.

Submission Content

Your outline should include the following:

Contact Information for Presenters
Case Study Title: provide a title in fewer than 10 words. Please try to include relevant keywords, topics, and/or game titles covered by your talk.
Case Study Presentation Outline Details (this will not be published, and is for review only): You have approximately 500 words to outline and thoroughly describe what the Case Study is about, and why it will be interesting to AIIDE attendees.

Note: this is not the abstract for your talk and will not be published. It is for you to describe concretely and succinctly what is compelling about your case study. Please provide supporting data (as appropriate) and outline your presentation in detail. Submissions with thin outline details (fewer than 500 words) may be declined due to lack of information required to evaluate the Case Study and its impact. Please be as concrete as possible in the allotted space. If more than 500 words are required, you may upload Supplementary Materials (as described below).

Supplementary Materials: you can upload any supplementary materials that will support your submission. Examples include:
- Interactive software
- Prepared slides for the talk (if available)
- Pictures or screenshots
- Videos
- Links to software downloads

Evaluation Criteria

Submissions will be reviewed by the organizing committee. Case Studies will be evaluated based on the following criteria:

Originality and Innovation: The novelty of the AI approach and its contribution to the field.
Impact and Significance: The potential impact of the Case Study on the AIIDE community and the broader industry.
Clarity and Presentation: The clarity of the written and oral presentation.
Practical Relevance: The applicability of the AI solution to real-world digital entertainment projects.

At the Conference

Case studies may be presented either via a 15-minute talk (Option 1), a live demonstration during a 2-hour demo session (Option 2), or both (Option 3).

Option 1: Deliver a 15-minute talk at the conference, followed by a Q&A session. In-person presentations are preferred, but we plan to support remote presentations if needed. These talks will be recorded except upon request. Recorded talks will be made available after the conference via the AIIDE YouTube channel.

Option 2: Take part in a 2 hour long demo session during the conference. If presenting a demo, at least one member of your presenting team must attend the conference in-person to present. Demos will be given a table, chairs, access to power, and internet access. Demos may optionally request a poster stand and board. Demo presenters are expected to bring their own laptop(s) or other machines. Demo presenters are welcome to bring signs, banners, stickers, zines, and so on to decorate their table as desired.

Option 3: Both Options 1 and 2.

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New to submitting a case study? Let M and Max (the organizers) know via email at mcharity6498@gmail.com and maxkreminski@gmail.com. Questions are welcome!