Embodying the JACK agent architecture

Emma Norling, Frank E. Ritter

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

8 Citations (Scopus)

Abstract

Agent-based models of human operators rarely include explicit representations of the timing and accuracy of perception and action, although their accuracy is sometimes implicitly modelled by including random noise for observations and actions. In many situations though, the timing and accuracy of the person’s perception and action significantly influence their overall performance on a task. Recently many cognitive architectures have been extended to include perceptual/motor capabilities, making them embodied, and they have since been successfully used to test and compare interface designs. This paper describes the implementation of a similar perceptual/motor system that uses and extends the JACK agent language. The resulting embodied architecture has been used to compare GUIs representing telephones, but has been designed to interact with any mouse-driven Java interface. The results clearly indicate the impact of poor design on performance, with the agent taking longer to perform the task on the more poorly designed telephone. Initial comparisons with human data show a close match, and more detailed comparisons are underway.

Original languageEnglish (US)
Title of host publicationAI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages368-377
Number of pages10
Volume2256
ISBN (Print)9783540429609
StatePublished - 2001
Event14th Australian Joint Conference on Artificial Intelligence, AI 2001 - Adelaide, Australia
Duration: Dec 10 2001Dec 14 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2256
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other14th Australian Joint Conference on Artificial Intelligence, AI 2001
CountryAustralia
CityAdelaide
Period12/10/0112/14/01

Fingerprint

Agent Architecture
Timing
Cognitive Architecture
Telephone sets
Interface Design
Random Noise
Agent-based Model
Graphical user interfaces
Telephone
Java
Mouse
Person
Operator
Human
Perception

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Norling, E., & Ritter, F. E. (2001). Embodying the JACK agent architecture. In AI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings (Vol. 2256, pp. 368-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2256). Springer Verlag.
Norling, Emma ; Ritter, Frank E. / Embodying the JACK agent architecture. AI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings. Vol. 2256 Springer Verlag, 2001. pp. 368-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{c8cc1973a708431e91929903043658c1,
title = "Embodying the JACK agent architecture",
abstract = "Agent-based models of human operators rarely include explicit representations of the timing and accuracy of perception and action, although their accuracy is sometimes implicitly modelled by including random noise for observations and actions. In many situations though, the timing and accuracy of the person’s perception and action significantly influence their overall performance on a task. Recently many cognitive architectures have been extended to include perceptual/motor capabilities, making them embodied, and they have since been successfully used to test and compare interface designs. This paper describes the implementation of a similar perceptual/motor system that uses and extends the JACK agent language. The resulting embodied architecture has been used to compare GUIs representing telephones, but has been designed to interact with any mouse-driven Java interface. The results clearly indicate the impact of poor design on performance, with the agent taking longer to perform the task on the more poorly designed telephone. Initial comparisons with human data show a close match, and more detailed comparisons are underway.",
author = "Emma Norling and Ritter, {Frank E.}",
year = "2001",
language = "English (US)",
isbn = "9783540429609",
volume = "2256",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "368--377",
booktitle = "AI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings",
address = "Germany",

}

Norling, E & Ritter, FE 2001, Embodying the JACK agent architecture. in AI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings. vol. 2256, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2256, Springer Verlag, pp. 368-377, 14th Australian Joint Conference on Artificial Intelligence, AI 2001, Adelaide, Australia, 12/10/01.

Embodying the JACK agent architecture. / Norling, Emma; Ritter, Frank E.

AI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings. Vol. 2256 Springer Verlag, 2001. p. 368-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2256).

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

TY - GEN

T1 - Embodying the JACK agent architecture

AU - Norling, Emma

AU - Ritter, Frank E.

PY - 2001

Y1 - 2001

N2 - Agent-based models of human operators rarely include explicit representations of the timing and accuracy of perception and action, although their accuracy is sometimes implicitly modelled by including random noise for observations and actions. In many situations though, the timing and accuracy of the person’s perception and action significantly influence their overall performance on a task. Recently many cognitive architectures have been extended to include perceptual/motor capabilities, making them embodied, and they have since been successfully used to test and compare interface designs. This paper describes the implementation of a similar perceptual/motor system that uses and extends the JACK agent language. The resulting embodied architecture has been used to compare GUIs representing telephones, but has been designed to interact with any mouse-driven Java interface. The results clearly indicate the impact of poor design on performance, with the agent taking longer to perform the task on the more poorly designed telephone. Initial comparisons with human data show a close match, and more detailed comparisons are underway.

AB - Agent-based models of human operators rarely include explicit representations of the timing and accuracy of perception and action, although their accuracy is sometimes implicitly modelled by including random noise for observations and actions. In many situations though, the timing and accuracy of the person’s perception and action significantly influence their overall performance on a task. Recently many cognitive architectures have been extended to include perceptual/motor capabilities, making them embodied, and they have since been successfully used to test and compare interface designs. This paper describes the implementation of a similar perceptual/motor system that uses and extends the JACK agent language. The resulting embodied architecture has been used to compare GUIs representing telephones, but has been designed to interact with any mouse-driven Java interface. The results clearly indicate the impact of poor design on performance, with the agent taking longer to perform the task on the more poorly designed telephone. Initial comparisons with human data show a close match, and more detailed comparisons are underway.

UR - http://www.scopus.com/inward/record.url?scp=84944897224&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84944897224&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84944897224

SN - 9783540429609

VL - 2256

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 368

EP - 377

BT - AI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings

PB - Springer Verlag

ER -

Norling E, Ritter FE. Embodying the JACK agent architecture. In AI 2001: Advances in Artificial Intelligence - 14th Australian Joint Conference on Artificial Intelligence, Proceedings. Vol. 2256. Springer Verlag. 2001. p. 368-377. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).