Practical applications of multiagent shepherding for human-machine interaction

Patrick Nalepka; Rachel W. Kallen; Anthony Chemero; Elliot Saltzman; Michael J. Richardson

doi:10.1007/978-3-030-24209-1_14

Practical applications of multiagent shepherding for human-machine interaction

Patrick Nalepka^*, Rachel W. Kallen, Anthony Chemero, Elliot Saltzman, Michael J. Richardson

^*Corresponding author for this work

Centre for Elite Performance Expertise and Training (CEPET): Application University Research Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

7 Citations (Scopus)

Abstract

The shepherding problem is interesting for multiagent systems research as it requires multiple actors (e.g., dogs, humans) to exert indirect control over autonomous agents (e.g., sheep, cattle) for containment or transportation. Accordingly, plenty of research has focused on designing algorithms for robotic agents to solve such tasks. Almost no research, however, has utilized this task to investigate human-human or human-machine interactions, even though the shepherding problem encapsulates desirable qualities for an experimental paradigm to investigate the dynamics of human group and mixed-group coordination in complex tasks. This paper summarizes our recent research that has employed the shepherding problem to study complex multiagent human-human and human-machine interaction. The paper concludes with a discussion of practical applications for using the shepherding problem for the design of assistive agents that can be incorporated into human groups or enhance training and human learning.

Original language	English
Title of host publication	Advances in practical applications of survivable agents and multi-agent systems
Subtitle of host publication	The PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings
Editors	Yves Demazeau, Eric Matson, Juan Manuel Corchado, Fernando De la Prieta
Place of Publication	Switzerland
Publisher	Springer, Springer Nature
Pages	168-179
Number of pages	12
ISBN (Electronic)	9783030242091
ISBN (Print)	9783030242084
DOIs	https://doi.org/10.1007/978-3-030-24209-1_14
Publication status	Published - 2019
Event	17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019 - Ávila, Spain Duration: 26 Jun 2019 → 28 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11523 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019
Country/Territory	Spain
City	Ávila
Period	26/06/19 → 28/06/19

Keywords

multiagent coordination
shepherding
human-machine interaction

Access to Document

10.1007/978-3-030-24209-1_14

Cite this

Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E., & Richardson, M. J. (2019). Practical applications of multiagent shepherding for human-machine interaction. In Y. Demazeau, E. Matson, J. M. Corchado, & F. De la Prieta (Eds.), Advances in practical applications of survivable agents and multi-agent systems: The PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings (pp. 168-179). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11523 LNAI). Springer, Springer Nature. https://doi.org/10.1007/978-3-030-24209-1_14

Nalepka, Patrick ; Kallen, Rachel W. ; Chemero, Anthony et al. / Practical applications of multiagent shepherding for human-machine interaction. Advances in practical applications of survivable agents and multi-agent systems: The PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings. editor / Yves Demazeau ; Eric Matson ; Juan Manuel Corchado ; Fernando De la Prieta. Switzerland : Springer, Springer Nature, 2019. pp. 168-179 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The shepherding problem is interesting for multiagent systems research as it requires multiple actors (e.g., dogs, humans) to exert indirect control over autonomous agents (e.g., sheep, cattle) for containment or transportation. Accordingly, plenty of research has focused on designing algorithms for robotic agents to solve such tasks. Almost no research, however, has utilized this task to investigate human-human or human-machine interactions, even though the shepherding problem encapsulates desirable qualities for an experimental paradigm to investigate the dynamics of human group and mixed-group coordination in complex tasks. This paper summarizes our recent research that has employed the shepherding problem to study complex multiagent human-human and human-machine interaction. The paper concludes with a discussion of practical applications for using the shepherding problem for the design of assistive agents that can be incorporated into human groups or enhance training and human learning.",

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Nalepka, P , Kallen, RW, Chemero, A, Saltzman, E & Richardson, MJ 2019, Practical applications of multiagent shepherding for human-machine interaction. in Y Demazeau, E Matson, JM Corchado & F De la Prieta (eds), Advances in practical applications of survivable agents and multi-agent systems: The PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11523 LNAI, Springer, Springer Nature, Switzerland, pp. 168-179, 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019, Ávila, Spain, 26/06/19. https://doi.org/10.1007/978-3-030-24209-1_14

Practical applications of multiagent shepherding for human-machine interaction. / Nalepka, Patrick ; Kallen, Rachel W.; Chemero, Anthony et al.
Advances in practical applications of survivable agents and multi-agent systems: The PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings. ed. / Yves Demazeau; Eric Matson; Juan Manuel Corchado; Fernando De la Prieta. Switzerland: Springer, Springer Nature, 2019. p. 168-179 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11523 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Practical applications of multiagent shepherding for human-machine interaction

AU - Nalepka, Patrick

AU - Kallen, Rachel W.

AU - Chemero, Anthony

AU - Saltzman, Elliot

AU - Richardson, Michael J.

PY - 2019

Y1 - 2019

N2 - The shepherding problem is interesting for multiagent systems research as it requires multiple actors (e.g., dogs, humans) to exert indirect control over autonomous agents (e.g., sheep, cattle) for containment or transportation. Accordingly, plenty of research has focused on designing algorithms for robotic agents to solve such tasks. Almost no research, however, has utilized this task to investigate human-human or human-machine interactions, even though the shepherding problem encapsulates desirable qualities for an experimental paradigm to investigate the dynamics of human group and mixed-group coordination in complex tasks. This paper summarizes our recent research that has employed the shepherding problem to study complex multiagent human-human and human-machine interaction. The paper concludes with a discussion of practical applications for using the shepherding problem for the design of assistive agents that can be incorporated into human groups or enhance training and human learning.

AB - The shepherding problem is interesting for multiagent systems research as it requires multiple actors (e.g., dogs, humans) to exert indirect control over autonomous agents (e.g., sheep, cattle) for containment or transportation. Accordingly, plenty of research has focused on designing algorithms for robotic agents to solve such tasks. Almost no research, however, has utilized this task to investigate human-human or human-machine interactions, even though the shepherding problem encapsulates desirable qualities for an experimental paradigm to investigate the dynamics of human group and mixed-group coordination in complex tasks. This paper summarizes our recent research that has employed the shepherding problem to study complex multiagent human-human and human-machine interaction. The paper concludes with a discussion of practical applications for using the shepherding problem for the design of assistive agents that can be incorporated into human groups or enhance training and human learning.

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KW - human-machine interaction

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DO - 10.1007/978-3-030-24209-1_14

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AN - SCOPUS:85068712536

SN - 9783030242084

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

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BT - Advances in practical applications of survivable agents and multi-agent systems

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A2 - De la Prieta, Fernando

PB - Springer, Springer Nature

CY - Switzerland

T2 - 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019

Y2 - 26 June 2019 through 28 June 2019

ER -

Nalepka P , Kallen RW, Chemero A, Saltzman E, Richardson MJ. Practical applications of multiagent shepherding for human-machine interaction. In Demazeau Y, Matson E, Corchado JM, De la Prieta F, editors, Advances in practical applications of survivable agents and multi-agent systems: The PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings. Switzerland: Springer, Springer Nature. 2019. p. 168-179. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-24209-1_14

Practical applications of multiagent shepherding for human-machine interaction

Abstract

Publication series

Conference

Keywords

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ARC - Future Fellowships: Modelling Human Perceptual-Motor Interaction for Human-Machine Applications

Cite this

Practical applications of multiagent shepherding for human-machine interaction

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

ARC - Future Fellowships: Modelling Human Perceptual-Motor Interaction for Human-Machine Applications

Cite this