(author)rise: Artificial intelligence output via the human body

Harshit Agrawal, Junichi Yamaoka, Yasuaki Kakehi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We are increasingly offloading a lot of our mental and subjective tasks to machines. Over the last few years, with advances in machine learning, especially in deep learning, machines are becoming increasingly capable of modeling and being more intimately involved in our everyday tasks. Though a lot of the tasks we do today are related with manipulating virtual data, our bodies still belong in a physical space and make up a large part of our activities. Artificial intelligence (AI) interactions are generally limited to on-screen or audio format, and therefore lack support in our physical tasks where our bodies play a major role. Also, being behind the screen and virtual in nature, we often do not acknowledge the extent to which AI plays a role in a lot of our subjective tasks. We present (author)rise, a physical human-machine intelligence based handwriting system, where machines generate handwritten text in continuation to human handwriting and move the human hand on the paper to write it out, thereby tightly coupling human and machine intelligence in the same physical input-output space.

Original languageEnglish
Title of host publicationIUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450355711
Publication statusPublished - 2018 Mar 5
Event23rd International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan
Duration: 2018 Mar 72018 Mar 11

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI


Other23rd International Conference on Intelligent User Interfaces, IUI 2018


  • Artificial intelligence
  • Authorship
  • Handwriting
  • Physical interface

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction


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