At the Honda Research Institute JP (HRI JP), I'm working on human-robot interaction through artificial intelligence methods. My collaborators at the HRI JP and I design human-computer interaction methods to enhance the relationship between humans and social robots.

We are always looking for eager interns to come to collaborate with us. If you are interested, send me an email to christian.arzate@jp.honda-ri.com.

Research

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  Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI

  Christian Arzate Cruz*, Yotam Sechayk*, Takeo Igarashi, and Randy Gomez. IEEE International Conference on Robot and Human Interactive Communication (Ro-Man), 2024. *equal contribution.
  
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  MyStoryKnight: A Character-drawing Driven Storytelling System Using LLM Hallucinations

  Yotam Sechayk, Gabriela Penarska, Isa Randsalu, Christian Arzate Cruz and Takeo Igarashi. Information Processing Society of Japan Symposium (INTERACTION), 2024.
  PDF
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  Designing Interactive Reinforcement Learning Applications

  Invited talk at the International Symposium on Intelligence Design (ISID), 2023.
  Presentation
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  Sequential Eyelid Gestures for User Interfaces in VR

  Christian Arzate Cruz, Tatsuya Natsume, Mizuto Ichihara, Fumihisa Shibata and Asako Kimura. IEEE Virtual Reality (VR), 2023. https://doi.org/10.1109/VRW58643.2023.00201.
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  Analysis and Considerations of the Controllability of EMG-based Force Input

  Hayato Nozaki, Yuta Kataoka, Christian Arzate Cruz, Fumihisa Shibata, and Asako Kimura. The 25th International Conference on Human-Computer Interaction (HCI International), 2023. https://doi.org/10.1007/978-3-031-35596-7_36.
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  Interactive Reinforcement Learning for Autonomous Behavior Design in: Li Y., Hilliges O. (eds) Artificial Intelligence for Human Computer Interaction: A Modern Approach. Human–Computer Interaction Series.

  Christian Arzate Cruz and Takeo Igarashi. Springer, Cham., 2021. https://doi.org/10.1007/978-3-030-82681-9_11.
  Project Page
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  Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors

  Christian Arzate Cruz and Takeo Igarashi. In IEEE Conference on Games (CoG), 2021 https://doi.org/10.1109/CoG52621.2021.9618999.
  Project Page
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  MarioMix: Creating Aligned Playstyles for Bots with Interactive Reinforcement Learning

  Christian Arzate Cruz and Takeo Igarashi. In Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play (CHI Play), 2020 https://doi.org/10.1145/3383668.3419938.
  Project Page
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  A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges

  Christian Arzate Cruz and Takeo Igarashi. In Proceedings of the 2020 on Designing Interactive Systems Conference (DIS), 2020 http://doi.org/10.1145/3357236.3395525.
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  Interactive Design Exploration of Game Stages Using Adjustable Synthetic Testers

  Hirotaka Suetake, Tsukasa Fukusato, Christian Arzate Cruz, Andy Nealen, and Takeo Igarashi. In Proceedings of the 15th International Conference on the Foundations of Digital Games (FDG), 2020 https://doi.org/10.1145/3402942.3402982.
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  "ゲームAIによるパラメータ空間解析を活用した難易度調整用インターフェース"

  Hirotaka Suetake，Tsukasa Fukusato，Christian Arzate Cruz，Andy Nealen，and Takeo Igarashi. The 27th Workshop on Interactive Systems and Software (WISS), 2019.
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  HRLB⌃2: A Game AI Architecture for Believable Bots That Unifies the Elements of Flow and Reinforcement Learning (PhD Thesis)

  Christian Arzate Cruz and Jorge Adolfo Ramirez Uresti , 2018.
  PhD Thesis.
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  HRLB⌃2: A Reinforcement Learning Based Framework for Believable Bots

  Christian Arzate Cruz and Jorge Adolfo Ramirez Uresti. Applied Sciences, 2018 https://doi.org/10.3390/app8122453.
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  Player-centered game AI from a flow perspective: Towards a better understanding of past trends and future directions

  Christian Arzate Cruz and Jorge Adolfo Ramirez Uresti. Entertainment Computing, 2017 https://doi.org/10.1016/j.entcom.2017.02.003.
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  Personalized AI for Groups of Non-PlayerCharacters

  Christian Arzate Cruz and Jorge Adolfo Ramirez Uresti. In Doctoral Consortium of the Mexican International Conference on Artificial Intelligence (MICAI), 2013. PDF
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  Método Robusto para Detectar Dedos Usando Profundidad

  Christian Arzate Cruz, Isaac Rudomin Goldberg, and Jorge Adolfo Ramirez Uresti. In Congreso Mexicano de Inteligencia Artificial (COMIA), 2013. PDF

Talks