Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings

Schelble, Beau G.; Flathmann, Christopher; McNeese, Nathan J.

doi:10.1145/3406499.3415077

“…This assertion is evident in the industries that often lead to the development of advanced technology, governments, military, and manufacturing. While AI is pervasive in everyday human lives in the form of smart assistants like Siri, the manufacturing industry has begun to seriously try to team these AI up with humans to produce advanced HATs (Schelble et al., in press). The global Industry 4.0 initiative is centered around the integration of AI at nearly every level to drive predictive maintenance, future business strategies, and floor production, with humans working alongside AI to make vital decisions for the company (Erol et al, 2016; Kang et al, 2016; Lee et al, 2015; Mabkhot et al, 2018; Omron, 2020).…”

Section: Discussionmentioning

confidence: 99%

Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature

O’Neill

¹

,

McNeese

²

,

Barron

³

et al. 2020

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Objective We define human–autonomy teaming and offer a synthesis of the existing empirical research on the topic. Specifically, we identify the research environments, dependent variables, themes representing the key findings, and critical future research directions. Background Whereas a burgeoning literature on high-performance teamwork identifies the factors critical to success, much less is known about how human–autonomy teams (HATs) achieve success. Human–autonomy teamwork involves humans working interdependently toward a common goal along with autonomous agents. Autonomous agents involve a degree of self-government and self-directed behavior (agency), and autonomous agents take on a unique role or set of tasks and work interdependently with human team members to achieve a shared objective. Method We searched the literature on human–autonomy teaming. To meet our criteria for inclusion, the paper needed to involve empirical research and meet our definition of human–autonomy teaming. We found 76 articles that met our criteria for inclusion. Results We report on research environments and we find that the key independent variables involve autonomous agent characteristics, team composition, task characteristics, human individual differences, training, and communication. We identify themes for each of these and discuss the future research needs. Conclusion There are areas where research findings are clear and consistent, but there are many opportunities for future research. Particularly important will be research that identifies mechanisms linking team input to team output variables.

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“…Here, the CPPS are based on intelligent, autonomous systems (Gronau, 2016;O'Neill et al, 2020;Schelble et al, 2020).…”

Section: Human-autonomy Teaming In Manufacturing and Logisticsmentioning

confidence: 99%

“…Therefore, primary research around this area is of particular importance (O'Neill et al, 2020). As a first step towards a solution to these open research questions, Schelble et al (2020) worked on deriving a framework for the design of autonomous systems within HAT for CPPS based on application-oriented studies. The framework is intended to enable users to make informed decisions about the development and integration of autonomous systems within Industry 4.0 applications leading to better, more efficient, and customized HAT.…”

Section: Long-term Effects Of Hatmentioning

confidence: 99%

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Human-Centered Design of Hybrid Cyber-Physical Production Systems – Use of Human Autonomy Teaming as a Future Way of Working

Stern¹,

Freitag²

2022

Digitization of the Work Environment for Sustainable Production

5

0

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Many production processes are changing towards hybrid CPPS, in which humans work together with intelligent as well as automated or autonomously acting systems. This enables economic advantages through more efficient processes, error reduction, and quality improvements. It further contributes to a sustainable production, which preserves resources and enhances operators' well-being. To achieve these advantages, an adequate system design is required. Here, various design approaches are available, such as the creation of active involvement of people and adequate situational awareness, and the consideration of both operators and automation as equal and independent actors. But how do they affect its performance and the operators in detail to achieve both economic and human-centered goals? We present the results of a first literature review on the interaction of humans and autonomous systems in production systems and the associated allocation of work (Human Autonomy Teaming, HAT) and open research problems, respectively. Finally, we propose and discuss preliminary ideas and starting points to solve these design issues as a basis for future research work.

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“…The implementation of CPPS often requires intelligent and autonomously acting systems (Schelble et al, 2020). Examples of this are predictive maintenance, cognitive assistance systems, or collaborative robots based on artificial intelligence (O'Neill et al, 2020).…”

Section: Human-autonomy Teaming In Manufacturing and Logisticsmentioning

confidence: 99%

Human-Centered Design of Hybrid Cyber-Physical Production Systems - Use of Human Autonomy Teaming as a Future Way of Working

Stern¹,

Freitag²

2022

Digitization of the Work Environment for Sustainable Production

0

View full text Add to dashboard Cite

Many production processes are changing towards hybrid CPPS, in which humans work together with intelligent as well as automated or autonomously acting systems. This enables economic advantages through more efficient processes, error reduction, and quality improvements. It further contributes to a sustainable production, which preserves resources and enhances operators' well-being. To achieve these advantages, an adequate system design is required. Here, various design approaches are available, such as the creation of active involvement of people and adequate situational awareness, and the consideration of both operators and automation as equal and independent actors. But how do they affect its performance and the operators in detail to achieve both economic and human-centered goals? We present the results of a first literature review on the interaction of humans and autonomous systems in production systems and the associated allocation of work (Human Autonomy Teaming, HAT) and open research problems, respectively. Finally, we propose and discuss preliminary ideas and starting points to solve these design issues as a basis for future research work.

show abstract

Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings

Cited by 26 publications

References 24 publications

Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature

Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature

Human-Centered Design of Hybrid Cyber-Physical Production Systems – Use of Human Autonomy Teaming as a Future Way of Working

Human-Centered Design of Hybrid Cyber-Physical Production Systems - Use of Human Autonomy Teaming as a Future Way of Working

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