Interactive narrative (IN) authors craft spaces of divergent narrative possibilities for players to explore, with the player's input determining which narrative possibilities they actually experience. Generative AI can enable new forms of IN by improvisationally expanding on pre-authored content in response to open-end...
Yi Wang, John Joon Young Chung, Melissa Roemmele et al.· 2 citations
We propose MADS (Multi-Agent Dialogue Simulation), a scalable framework for generating persuasive multi-turn dialogues via agent self-play. MADS employs three coordinated agents: User Agents designed to simulate diverse persona-driven behaviors by leveraging personality signifiers such as Zodiac Signs and MBTI types, a...
Animation and VFX pre-production review requires teams to translate loosely specified creative intent--briefs, evolving specifications, heterogeneous references, and verbal decisions--into revisions that junior artists can execute without repeated clarification. In practice, criteria drift across iterations, review jud...
Shih-Yu Lai, Wen-Fan Wang, Sai Ling et al.· 0 citations
Pairit is an online platform that facilitates the design, testing, and deployment of experiments that test human-AI organizational designs and interventions, and provides reusable infrastructure for specifying, deploying, and sharing live human-AI organizational experiments.
Harang Ju, Sinan Aral· 0 citations
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This work aims to advance the development of socially desirable embodied agents in open-domain environments by extending the concept of proactive assistance to Social Proactive Intelligence (SPI), characterized by diverse scenarios, social understanding, and robot-centric behaviors.
Kuo-Fei Fang, Zheng Lian, Xin-Yi Che et al.· 3 citations
Cybersecurity incidents such as data breaches have become increasingly common, affecting millions of users and organizations worldwide. The complexity of cybersecurity threats challenges the effectiveness of existing security communication strategies. Through a systematic review of over 3,400 papers, we identify specif...
Carolina Carreira, Alexandra Mendes, Jo\~ao F. Ferreira et al.· 0 citations
As robots become increasingly integrated into various industries, understanding how humans respond to robotic failures is critical. This study systematically examines trust dynamics and system design by analyzing human reactions to robot failures. We conducted a four-stage survey to explore how trust evolves throughout...
Generative design interfaces increasingly expose semantic controls that let users steer output with concepts such as"more elegant"or"more minimalist,"typically encoded by a vision-language model (VLM). A practical question is whether state-of-the-art VLMs represent objects consistently in terms of the same concept. We...
Luca Bux, Thiago Rios, Ingo Scholtes et al.· 0 citations
This paper introduces OneEmo, a unified affective generalist capable of mastering emotion perception, comprehension, and interaction, and proposes Emo-Chord, a novel reinforcement learning strategy that stabilizes optimization through unified multi-task reward allocation.
Jiahao Huang, Zheng Lian, Jingyi Zhang et al.· 0 citations
As AI becomes increasingly embedded in digital games, players' attitudes de-pend not only on whether AI is used, but also on where and how it intervenes in gameplay. This study examines players' evaluative patterns toward eight AI application contexts, including intelligent NPCs, emergent narrative, dynamic balancing,...
Ting-Chen Hsu, Jiangxu Lin, Wenran Chen et al.· 0 citations
Dependency graphs that show how definitions, theorems, and proofs relate to each other are valuable for understanding the structure of mathematical texts. Existing tools such as Lean Blueprint and plasTeXdepgraph generate such graphs within formal proof ecosystems, but they require familiarity with proof assistants or...
Elif Uskuplu, Lawrence S. Moss, Valeria de Paiva· 0 citations
Video see-through (VST) technology aims to seamlessly blend the virtual and physical worlds by reconstructing reality through cameras. However, while manufacturers promise high perceptual fidelity, it remains unclear how closely recent commercial VST systems preserve basic visual functions across environmental conditio...
Jialin Wang, Songming Ping, Kemu Xu et al.· 0 citations
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduSep 30, 2026
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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