World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9249
World Ranking
6820
National Ranking
2998

Overview

Mark O. Riedl is affiliated with the Georgia Institute of Technology in the United States. Their research primarily covers the field of computer science, with a significant focus on artificial intelligence. Their work spans several subfields including artificial intelligence, computer vision and pattern recognition, safety research, health informatics, and sociology and political science.

The main topics explored in their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Explainable Artificial Intelligence (XAI)
  • Artificial Intelligence in Games
  • Ethics and Social Impacts of AI
  • Multimodal Machine Learning Applications
  • Artificial Intelligence in Healthcare and Education

Riedl has a substantial publication record with frequent appearances in several notable venues. These include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
  • Patterns
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the ACM on Human-Computer Interaction

Some of their recent papers are:

  • Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI (2022), presented at the CHI Conference on Human Factors in Computing Systems Extended Abstracts
  • Reframing Human-AI Collaboration for Generating Free-Text Explanations (2022), in the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI (2023), in the Proceedings of the ACM on Human-Computer Interaction
  • Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts (2021), presented at the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games (2021), in the Proceedings of the AAAI Conference on Artificial Intelligence

Riedl has collaborated frequently with several researchers, including:

  • Upol Ehsan
  • Prithviraj Ammanabrolu
  • Xiangyu Peng
  • Spencer Frazier
  • Zhiyu Lin

Best Publications

  • Narrative planning: balancing plot and character

    Mark O. Riedl;R. Michael Young

  • Expanding Explainability: Towards Social Transparency in AI systems

    Upol Ehsan;Q. Vera Liao;Michael Muller;Mark O. Riedl

  • Interactive Narrative: An Intelligent Systems Approach

    Mark Owen Riedl;Vadim Bulitko

  • An architecture for integrating plan-based behavior generation with interactive game environments.

    R. Michael Young;Mark O. Riedl;Mark Branly;Arnav Jhala

  • Human‐centered artificial intelligence and machine learning

    Mark O. Riedl

  • From linear story generation to branching story graphs

    M.O. Riedl;R.M. Young

  • Managing interaction between users and agents in a multi-agent storytelling environment

    Mark Riedl;C. J. Saretto;R. Michael Young

  • Story generation with crowdsourced plot graphs

    Boyang Li;Stephen Lee-Urban;George Johnston;Mark O. Riedl

  • An Intent-Driven Planner for Multi-Agent Story Generation

    Mark Owen Riedl;R. Michael Young

  • Automated rationale generation: a technique for explainable AI and its effects on human perceptions

    Upol Ehsan;Pradyumna Tambwekar;Larry Chan;Brent Harrison

  • Event Representations for Automated Story Generation with Deep Neural Nets

    Lara J. Martin;Prithviraj Ammanabrolu;Xinyu Wang;William Hancock

  • Believable agents and intelligent story adaptation for interactive storytelling

    Mark O. Riedl;Andrew Stern

  • Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach.

    Upol Ehsan;Mark O. Riedl

  • Toward supporting stories with procedurally generated game worlds

    Ken Hartsook;Alexander Zook;Sauvik Das;Mark O. Riedl

  • Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators

    Matthew Guzdial;Nicholas Liao;Jonathan Chen;Shao-Yu Chen

  • AI for game production

    Mark Owen Riedl;Alexander Zook

  • Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

    Upol Ehsan;Brent Harrison;Larry Chan;Mark O. Riedl

  • Towards an architecture for intelligent control of narrative in interactive virtual worlds

    R. Michael Young;Mark Riedl

  • Automated scenario generation: toward tailored and optimized military training in virtual environments

    Alexander Zook;Stephen Lee-Urban;Mark O. Riedl;Heather K. Holden

  • An empirical study of cognition and theatrical improvisation

    Brian Magerko;Waleed Manzoul;Mark Riedl;Allan Baumer

  • Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

    Prithviraj Ammanabrolu;Mark O. Riedl

  • From linear story generation to branching story graphs

    Mark O. Riedl;R. Michael Young

Frequent Co-Authors

R. Michael Young
R. Michael Young University of Utah
Ashwin Ram
Ashwin Ram Georgia Institute of Technology
Ruth Aylett
Ruth Aylett Heriot-Watt University
Oded Nov
Oded Nov New York University
Stacy Marsella
Stacy Marsella Northeastern University
Stefan Edelkamp
Stefan Edelkamp Charles University
Andrea L. Thomaz
Andrea L. Thomaz The University of Texas at Austin
Kai Goebel
Kai Goebel Palo Alto Research Center
Alon Halevy
Alon Halevy Facebook (United States)

External Links

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