Abstract
Humans and machines are increasingly reliant upon each other in complex environments and military operations. The near future suggests human understanding of machine counterparts is a required, paradigmatic element. Knowing how to engineer and design for these environments is challenging. The complexity between levels of automation, human information processing, and function allocation authority issues in an adaptive system make it unlikely to find a “one-size-fits-all” approach. There may still be general strategies for engineering in these cases; for example, collaborating and coordinating are familiar requirements of all human team activities, and extend to human-automation teaming. Here, we outline what we believe is one so-called “design pattern” for working agreements. We use the loose structure of prior software design patterns to organize our thoughts on why working agreements are necessary, where and how they are applicable, what instantiating them requires, and how to measure their effectiveness. By choosing the design pattern structure, we end up carefully describing what might work best and what the limits are toward improving human-machine teaming.
| Original language | English (US) |
|---|---|
| Title of host publication | Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 |
| Editors | Daniel N. Cassenti |
| Publisher | Springer Verlag |
| Pages | 12-24 |
| Number of pages | 13 |
| ISBN (Print) | 9783319605906 |
| DOIs | |
| State | Published - Jan 1 2018 |
| Externally published | Yes |
| Event | AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 - Los Angeles, United States Duration: Jul 17 2017 → Jul 21 2017 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 591 |
| ISSN (Print) | 2194-5357 |
Conference
| Conference | AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 |
|---|---|
| Country | United States |
| City | Los Angeles |
| Period | 7/17/17 → 7/21/17 |
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Keywords
- Design patterns
- Human automation interaction
- Human-machine teaming
- Working agreements
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
A design pattern for working agreements in human-autonomy teaming. / Gutzwiller, Robert S.; Espinosa, Sarah H.; Kenny, Caitlin; Lange, Douglas S.
Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017. ed. / Daniel N. Cassenti. Springer Verlag, 2018. p. 12-24 (Advances in Intelligent Systems and Computing; Vol. 591).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A design pattern for working agreements in human-autonomy teaming
AU - Gutzwiller, Robert S.
AU - Espinosa, Sarah H.
AU - Kenny, Caitlin
AU - Lange, Douglas S.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Humans and machines are increasingly reliant upon each other in complex environments and military operations. The near future suggests human understanding of machine counterparts is a required, paradigmatic element. Knowing how to engineer and design for these environments is challenging. The complexity between levels of automation, human information processing, and function allocation authority issues in an adaptive system make it unlikely to find a “one-size-fits-all” approach. There may still be general strategies for engineering in these cases; for example, collaborating and coordinating are familiar requirements of all human team activities, and extend to human-automation teaming. Here, we outline what we believe is one so-called “design pattern” for working agreements. We use the loose structure of prior software design patterns to organize our thoughts on why working agreements are necessary, where and how they are applicable, what instantiating them requires, and how to measure their effectiveness. By choosing the design pattern structure, we end up carefully describing what might work best and what the limits are toward improving human-machine teaming.
AB - Humans and machines are increasingly reliant upon each other in complex environments and military operations. The near future suggests human understanding of machine counterparts is a required, paradigmatic element. Knowing how to engineer and design for these environments is challenging. The complexity between levels of automation, human information processing, and function allocation authority issues in an adaptive system make it unlikely to find a “one-size-fits-all” approach. There may still be general strategies for engineering in these cases; for example, collaborating and coordinating are familiar requirements of all human team activities, and extend to human-automation teaming. Here, we outline what we believe is one so-called “design pattern” for working agreements. We use the loose structure of prior software design patterns to organize our thoughts on why working agreements are necessary, where and how they are applicable, what instantiating them requires, and how to measure their effectiveness. By choosing the design pattern structure, we end up carefully describing what might work best and what the limits are toward improving human-machine teaming.
KW - Design patterns
KW - Human automation interaction
KW - Human-machine teaming
KW - Working agreements
UR - http://www.scopus.com/inward/record.url?scp=85021433815&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021433815&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60591-3_2
DO - 10.1007/978-3-319-60591-3_2
M3 - Conference contribution
AN - SCOPUS:85021433815
SN - 9783319605906
T3 - Advances in Intelligent Systems and Computing
SP - 12
EP - 24
BT - Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
A2 - Cassenti, Daniel N.
PB - Springer Verlag
ER -