AGI architecture measures human parameters and optimizes human performance

A. Lőrincz, Dániel Takács

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

2 Citations (Scopus)

Abstract

AGI could manifest itself in human-computer interactions. However, the computer should know what is on the mind of the user, since reinforcement learning, the main building block of AGI, is severely spoiled for partially observed states. Technological advances offer tools to uncover some of these hidden components of the 'state'. Here, for the first time, we apply an AGI architecture for the optimization of human performance. In particular, we measure facial parameters and optimize users' writing speed working with head motion controlled writing tool. We elaborate on how to extend this optimization scheme to more complex scenarios.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages321-326
Number of pages6
Volume6830 LNAI
DOIs
Publication statusPublished - 2011
Event4th International Conference on Artificial General Intelligence, AGI 2011 - Mountain View, CA, United States
Duration: Aug 3 2011Aug 6 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6830 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Artificial General Intelligence, AGI 2011
CountryUnited States
CityMountain View, CA
Period8/3/118/6/11

Fingerprint

Human Performance
Optimise
Optimization
Reinforcement learning
Human computer interaction
Reinforcement Learning
Building Blocks
Scenarios
Motion
Interaction
Human
Architecture

Keywords

  • AGI architecture
  • computer-human interface
  • reinforcement learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Lőrincz, A., & Takács, D. (2011). AGI architecture measures human parameters and optimizes human performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6830 LNAI, pp. 321-326). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6830 LNAI). https://doi.org/10.1007/978-3-642-22887-2_37

AGI architecture measures human parameters and optimizes human performance. / Lőrincz, A.; Takács, Dániel.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6830 LNAI 2011. p. 321-326 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6830 LNAI).

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

Lőrincz, A & Takács, D 2011, AGI architecture measures human parameters and optimizes human performance. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6830 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6830 LNAI, pp. 321-326, 4th International Conference on Artificial General Intelligence, AGI 2011, Mountain View, CA, United States, 8/3/11. https://doi.org/10.1007/978-3-642-22887-2_37
Lőrincz A, Takács D. AGI architecture measures human parameters and optimizes human performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6830 LNAI. 2011. p. 321-326. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-22887-2_37
Lőrincz, A. ; Takács, Dániel. / AGI architecture measures human parameters and optimizes human performance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6830 LNAI 2011. pp. 321-326 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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