Improving Adaptive Human-Robot Cooperation through Work Agreements

Tina Mioch; Marieke Peeters; Mark A. Neerincx

doi:10.1109/ROMAN.2018.8525776

Improving Adaptive Human-Robot Cooperation through Work Agreements

Tina Mioch, Marieke Peeters, Mark A. Neerincx

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

9 Citations (Scopus)

Abstract

Human-robot teams for disaster response need to dynamically adapt their task allocation and coordination to the momentary context, based on adequate trust stances and taking account of the relevant values and norms (such as safety, health, and privacy). This paper presents a Work Agreement framework that supports this capability. The research question is: Which minimal set of concepts, relations, and associated formalization can be used to model Work Agreements with adequate expressiveness and flexibility? An ontology has been developed that defines core concepts with their relations (creditor, debtor, antecedent, consequent, lifespan, acceptance), encompassing the knowledge to specify, activate, monitor, and reason about work agreements. The framework was implemented and tested as part of the TRADR project. The TRADR system brought forward the desired adaptive team behavior of the concerning robot. The tests led to further refinements of the work agreements framework.

Original language	English
Title of host publication	Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2018
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1105-1110
Number of pages	6
ISBN (Electronic)	978-1-5386-7980-7
ISBN (Print)	978-1-5386-7981-4
DOIs	https://doi.org/10.1109/ROMAN.2018.8525776
Publication status	Published - 2018
Event	IEEE RO-MAN 2018: 27th IEEE International Symposium on Robot and Human Interactive Communication - Nanjing, China Duration: 27 Aug 2018 → 31 Aug 2018 Conference number: 27

Conference

Conference	IEEE RO-MAN 2018
Country/Territory	China
City	Nanjing
Period	27/08/18 → 31/08/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ROMAN.2018.8525776

Cite this

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title = "Improving Adaptive Human-Robot Cooperation through Work Agreements",

abstract = "Human-robot teams for disaster response need to dynamically adapt their task allocation and coordination to the momentary context, based on adequate trust stances and taking account of the relevant values and norms (such as safety, health, and privacy). This paper presents a Work Agreement framework that supports this capability. The research question is: Which minimal set of concepts, relations, and associated formalization can be used to model Work Agreements with adequate expressiveness and flexibility? An ontology has been developed that defines core concepts with their relations (creditor, debtor, antecedent, consequent, lifespan, acceptance), encompassing the knowledge to specify, activate, monitor, and reason about work agreements. The framework was implemented and tested as part of the TRADR project. The TRADR system brought forward the desired adaptive team behavior of the concerning robot. The tests led to further refinements of the work agreements framework.",

author = "Tina Mioch and Marieke Peeters and Neerincx, {Mark A.}",

year = "2018",

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note = "IEEE RO-MAN 2018 : 27th IEEE International Symposium on Robot and Human Interactive Communication ; Conference date: 27-08-2018 Through 31-08-2018",

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Improving Adaptive Human-Robot Cooperation through Work Agreements. / Mioch, Tina; Peeters, Marieke; Neerincx, Mark A.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2018. Piscataway, NJ: IEEE, 2018. p. 1105-1110 8525776.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Improving Adaptive Human-Robot Cooperation through Work Agreements

AU - Mioch, Tina

AU - Peeters, Marieke

AU - Neerincx, Mark A.

N1 - Conference code: 27

PY - 2018

Y1 - 2018

N2 - Human-robot teams for disaster response need to dynamically adapt their task allocation and coordination to the momentary context, based on adequate trust stances and taking account of the relevant values and norms (such as safety, health, and privacy). This paper presents a Work Agreement framework that supports this capability. The research question is: Which minimal set of concepts, relations, and associated formalization can be used to model Work Agreements with adequate expressiveness and flexibility? An ontology has been developed that defines core concepts with their relations (creditor, debtor, antecedent, consequent, lifespan, acceptance), encompassing the knowledge to specify, activate, monitor, and reason about work agreements. The framework was implemented and tested as part of the TRADR project. The TRADR system brought forward the desired adaptive team behavior of the concerning robot. The tests led to further refinements of the work agreements framework.

AB - Human-robot teams for disaster response need to dynamically adapt their task allocation and coordination to the momentary context, based on adequate trust stances and taking account of the relevant values and norms (such as safety, health, and privacy). This paper presents a Work Agreement framework that supports this capability. The research question is: Which minimal set of concepts, relations, and associated formalization can be used to model Work Agreements with adequate expressiveness and flexibility? An ontology has been developed that defines core concepts with their relations (creditor, debtor, antecedent, consequent, lifespan, acceptance), encompassing the knowledge to specify, activate, monitor, and reason about work agreements. The framework was implemented and tested as part of the TRADR project. The TRADR system brought forward the desired adaptive team behavior of the concerning robot. The tests led to further refinements of the work agreements framework.

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SN - 978-1-5386-7981-4

SP - 1105

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BT - Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2018

PB - IEEE

CY - Piscataway, NJ

T2 - IEEE RO-MAN 2018

Y2 - 27 August 2018 through 31 August 2018

ER -

Improving Adaptive Human-Robot Cooperation through Work Agreements

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UN SDGs

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