Hybrid Teams: Flexible Collaboration Between Humans, Robots and Virtual Agents

Schwartz, Tim; Zinnikus, Ingo; Krieger, Hans‐Ulrich; Bürckert, Christian; Folz, Joachim; Kiefer, Bernd; Hevesi, Péter; Lüth, Christoph; Pirkl, Gerald; Spieldenner, Torsten; Schmitz, Norbert M.; Wirkus, Malte; Straube, Sirko

doi:10.1007/978-3-319-45889-2_10

Cited by 24 publications

(21 citation statements)

References 29 publications

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“…Therefore, it is vital that IS practitioners pro-actively communicate their plans for IA use in the organisation and the implications for organisational change. Third, IA deployment experiences suggest that business process performance improvements are often achieved by combining the technical capabilities of IA with the social skills of human workers in hybrid worker teams ( Schwartz, Krieger, & Zinnikus, 2016 ). Therefore, business leaders may need to consider new job redesign strategies that take into account role changes and new skill requirements for humans workers to maximise the return from IA investments.…”

Section: Implications For Practicementioning

confidence: 99%

Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research

Coombs

2020

International Journal of Information Management

118

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Section: Implications For Practicementioning

confidence: 99%

Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research

Coombs

2020

International Journal of Information Management

118

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“…Attempts to approach the problem of understanding robots by humans have been made in several directions. One attempt is the robot verbally explaining its actions [16]. This is to say that the robot actually tells (or writes on a screen) the human what it is doing and why a specific action is carried out.…”

Section: Making Robots Understandable For Humansmentioning

confidence: 99%

“…Interactions that can benefit to children with autism [10,11] or elderly [12] have been shown with robots that are called social [13,14] as they put a strong emphasis on robot social skills. Mechanical skills are also important for empowering humans, for instance through a collaborative work in teams involving both robots and humans [15,16]. Such robots are called cobots: collaborative robots that share the physical space of a human operator and can help to achieve a task by handling tools or parts to assemble.…”

Section: Introductionmentioning

confidence: 99%

Human-centered AI and robotics

et al. 2022

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Robotics has a special place in AI as robots are connected to the real world and robots increasingly appear in humans everyday environment, from home to industry. Apart from cases were robots are expected to completely replace them, humans will largely benefit from real interactions with such robots. This is not only true for complex interaction scenarios like robots serving as guides, companions or members in a team, but also for more predefined functions like autonomous transport of people or goods. More and more, robots need suitable interfaces to interact with humans in a way that humans feel comfortable and that takes into account the need for a certain transparency about actions taken. The paper describes the requirements and state-of-the-art for a human-centered robotics research and development, including verbal and non-verbal interaction, understanding and learning from each other, as well as ethical questions that have to be dealt with if robots will be included in our everyday environment, influencing human life and societies.

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“…In recent years, robots have been widely used in industrial manufacturing (Johnson et al, 2014;Schwartz et al, 2016), life services (Walters et al, 2013;Boman and Bartfai, 2015;Hughes et al, 2016), military defense (Gilbert and Beebe, 2010;Barnes et al, 2013), and other fields. However, traditional robots have the problem of simplification of instructions, which makes them difficult to update the knowledge among the robots and hard to interact with humans; so, it is difficult to carry out complex tasks.…”

Section: Cloud Roboticsmentioning

confidence: 99%

Hybrid-augmented intelligence: collaboration and cognition

郑

刘

任

et al. 2017

Frontiers Inf Technol Electronic Eng

254

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The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models: one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.

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Hybrid Teams: Flexible Collaboration Between Humans, Robots and Virtual Agents

Cited by 24 publications

References 29 publications

Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research

Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research

Human-centered AI and robotics

Hybrid-augmented intelligence: collaboration and cognition

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