TY - GEN
T1 - (author)rise
T2 - 23rd International Conference on Intelligent User Interfaces, IUI 2018
AU - Agrawal, Harshit
AU - Yamaoka, Junichi
AU - Kakehi, Yasuaki
N1 - Funding Information:
This work was supported by JST ERATO Grant Number JPMJER1501, Japan.
Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).
PY - 2018/3/5
Y1 - 2018/3/5
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Authorship
KW - Handwriting
KW - Physical interface
UR - http://www.scopus.com/inward/record.url?scp=85045155751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045155751&partnerID=8YFLogxK
U2 - 10.1145/3180308.3180328
DO - 10.1145/3180308.3180328
M3 - Conference contribution
AN - SCOPUS:85045155751
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
BT - IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces
PB - Association for Computing Machinery
Y2 - 7 March 2018 through 11 March 2018
ER -