A Strain Based Model for Adaptive Regulation of Cognitive Assistance Systems—Theoretical Framework and Practical Limitations

2019 ◽  
pp. 10-16 ◽  
Author(s):  
Dominic Bläsing ◽  
Manfred Bornewasser
Keyword(s):  
Theoretical Framework ◽  
Adaptive Regulation ◽  
Cognitive Assistance ◽  
Assistance Systems

scholarly journals Approach to Increase Worker Acceptance of Cognitive Assistance Systems in Manual Assembly

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 926-931 ◽  
Author(s):  
Robin Sochor ◽  
Lorenz Kraus ◽  
Lukas Merkel ◽  
Stefan Braunreuther ◽  
Gunther Reinhart
Keyword(s):  
Manual Assembly ◽  
Cognitive Assistance ◽  
Assistance Systems

scholarly journals Workplace-integrated assistance systems conducive to learning designed for production

2021 ◽  
pp. 215-228
Author(s):  
Tina Haase ◽  
◽  
Wilhelm Termath ◽  
Michael Dick ◽  
Michael Schenk ◽  
...  
Keyword(s):  
Participatory Design ◽  
Methodological Approach ◽  
Implementation Process ◽  
Theoretical Framework ◽  
Technology Selection ◽  
Learning Activity ◽  
Activity System ◽  
Practical Action ◽  
Assistance Systems ◽  
Further Development

In this paper, the authors present a methodological approach for designing assistance systems conducive to learning. The theoretical framework is based on the activity system and the concept of expansive learning. From this, the authors develop the learning activity system. The application and further development of this theoretical framework is presented on the basis of an industrial application scenario of mechatronic reprocessing in the automotive industry. It includes a systematic approach to technology selection and design that serves as a practical action guide for companies designing assistance systems. In addition, dimensions conducive to learning are developed and linked to the activity system approach. This integrated model provides requirements for the design of an assistance system conducive to learning. The paper also describes concrete requirements and measures of a participatory design and implementation process.

scholarly journals Human’s Overtrust in and Overreliance on Advanced Driver Assistance Systems: A Theoretical Framework

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Toshiyuki Inagaki ◽  
Makoto Itoh
Keyword(s):  
Action Selection ◽  
Theoretical Framework ◽  
Target Object ◽  
Human Intervention ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems ◽  
Diagnostic Aspect ◽  
As If

This paper gives a theoretical framework to describe, analyze, and evaluate the driver’s overtrust in and overreliance on ADAS. Although “overtrust” and “overreliance” are often used as if they are synonyms, this paper differentiates the two notions rigorously. To this end, two aspects, (1) situation diagnostic aspect and (2) action selection aspect, are introduced. The first aspect is to describe overtrust, and it has three axes: (1-1) dimension of trust, (1-2) target object, and (1-3) chances of observation. The second aspect, (2), is to describe overreliance on the ADAS, and it has other three axes: (2-1) type of action selected, (2-2) benefits expected, and (2-3) time allowance for human intervention.

scholarly journals Familiarity and Complexity during a Takeover in Highly Automated Driving

2021 ◽  
Author(s):  
Marlene Susanne Lisa Scharfe-Scherf ◽  
Nele Russwinkel
Keyword(s):  
Cognitive Modeling ◽  
Driving Simulator ◽  
Cognitive State ◽  
Automated Driving ◽  
Cognitive Assistance ◽  
Assistance Systems ◽  
The Impact ◽  
Subjective Complexity ◽  
Highly Automated Driving ◽  
Action Decision

AbstractThis paper shows, how objective complexity and familiarity impact the subjective complexity and the time to make an action decision during the takeover task in a highly automated driving scenario. In the next generation of highly automated driving the driver remains as fallback and has to take over the driving task whenever the system reaches a limit. It is thus highly important to develop an assistance system that supports the individual driver based on information about the drivers’ current cognitive state. The impact of familiarity and complexity (objective and subjective) on the time to make an action decision during a takeover is investigated. To produce replicable driving scenarios and manipulate the independent variables situation familiarity and objective complexity, a driving simulator is used. Results show that the familiarity with a traffic situation as well as the objective complexity of the environment significantly influence the subjective complexity and the time to make an action decision. Furthermore, it is shown that the subjective complexity is a mediator variable between objective complexity/familiarity and the time to make an action decision. Complexity and familiarity are thus important parameters that have to be considered in the development of highly automated driving systems. Based on the presented mediation effect, the opportunity of gathering the drivers’ subjective complexity and adapting cognitive assistance systems accordingly is opened up. The results of this study provide a solid basis that enables an individualization of the takeover by implementing useful cognitive modeling to individualize cognitive assistance systems for highly automated driving.

scholarly journals Revisiting automated project management in the digital age – a survey of AI approaches

2019 ◽  
Vol 7 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Gunnar Auth ◽  
Oliver Jokisch ◽  
Christian Dürk
Keyword(s):  
Artificial Intelligence ◽  
Project Management ◽  
Extensive Literature ◽  
Business Politics ◽  
Cognitive Assistance ◽  
Assistance Systems ◽  
Ibm Watson ◽  
A Current ◽  
Remarkable Progress ◽  
Made In

In this decade, remarkable progress has been made in the field of artificial intelligence (AI). Inspired by well-known services of cognitive assistance systems such as IBM Watson, Apple's Siri or Google Duplex, AI concepts and algorithms are widely discussed regarding their automation potentials in business, politics and society. At first glance, project management (PM) seems to be less suitable for automation due to the inherent uniqueness of projects by definition. However, AI is also creating new application possibilities in the PM area, which will be explored in this contribution by involving an extensive literature review as well as real-world examples. The objective of this article is to provide a current overview of AI approaches and available tools that can be used for automating tasks in business project management.

scholarly journals AI-supported assistance systems in enterprise learning processes - prospects and limitations

2021 ◽  
pp. 81-92
Author(s):  
Norbert Gronau ◽  
◽  
Gergana Vladova ◽  
Keyword(s):  
Industry 4.0 ◽  
Learning Processes ◽  
Training Phase ◽  
Supporting Function ◽  
Production Processes ◽  
Wide Range ◽  
Cognitive Assistance ◽  
New Type ◽  
Assistance Systems

Industry 4.0 and Smart Factory are associated with major changes in the industrial world. The innovative forms of networking, communication and collaboration between people, machines and products have led to a new type of production system in which information and knowledge are exchanged more quickly and efficiently. As a result, among other things, the role of cognitive assistance systems and their supporting function for employees within production processes has gained in importance, both in the training phase and in the active work phase. Especially for on-the-job learning, these assistance systems open up a wide range of opportunities. This paper focuses on the opportunities and challenges associated with the use of cognitive assistance systems for workplace learning. We discuss current research on the potential uses of these assistance systems, particularly for process accomplishment as well as for supporting specific groups of employees. Furthermore, we address the limitations for the use of these systems. At the end of the paper, we identify three focus areas for the future development of AI in industrial processes and for research on this.

scholarly journals Transformation of Cognitive Assistance Systems into Augmented Reality

2020 ◽  
Vol 14 (3) ◽  
pp. 303-311
Author(s):  
Matthias Eder ◽  
Atacan Ketenci ◽  
Christian Ramsauer
Keyword(s):  
Experimental Study ◽  
Augmented Reality ◽  
Process Model ◽  
Support Systems ◽  
Industrial Sector ◽  
Recommendations For Action ◽  
Wide Range ◽  
Cognitive Assistance ◽  
Promising Application ◽  
Assistance Systems

The field of Augmented Reality (AR) has received increasing attention in recent years, as AR can be applied to a wide range of problems. The use of AR offers great potential, especially in the industrial sector. Among many applications in this area, one promising application is the augmentation of cognitive assistance systems. Much research has already been done on the development of augmented support systems but it is still lacking on how to transform existing assistance systems into an AR application. This paper focuses on this transformation and presents a process model that intends to support the migration or digitalization of existing support systems into an AR application. An experimental study validates the proposed approach and derives recommendations for action.

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