Informationsassistenz zur kognitiven Automatisierung manueller Montagearbeitsplätze

Die kontinuierliche Digitalisierung verändert die Arbeitswelt nachhaltig. In der Konsequenz verändern sich damit die Rahmenbedingungen für das Arbeiten und die kognitiven Anforderungen an den Menschen. Dies trifft insbesondere auf den manuellen Montagearbeitsplatz zu, an dem sich die steigende Komplexität und Variabilität digitalisierter Arbeitsprozesse kanalisiert. Die vorliegende Arbeit stellt darum einen Ansatz zur Unterstützung kognitiver Arbeitsprozesse sowie zu der dazu erforderlichen Automatisierung der digitalen Informationsflüsse in der manuellen Montage vor.The continuous digitalization will have a lasting effect on the working world. It results in changing work conditions and cognitive requirements with respect to the human worker. Here, the manual assembly workplace is an outstanding example for the growing complexity and variety of digital work processes in manufacturing industries. This thesis presents a novel approach to support cognitive work processes and to automate corresponding information flows at the manual assembly workplace. It combines both disciplines, computer science and psychology

Information assistance for smart assembly stations

Information assistance helps in many application domains to structure, guide and control human work processes. However, it lacks a formalisation and automated processing of background knowledge which vice versa is required to provide ad-hoc assistance. In this paper, we describe our conceptual and technical work to include contextual background knowledge in raising awareness, guiding, and monitoring the assembly worker. We present cognitive architectures as missing link between highly sophisticated manufacturing data systems and implicitly available contextual knowledge on work procedures and concepts of the work domain. Our work is illustrated with examples in SWI-Prolog and the Soar cognitive architecture

Werker der Zukunft: Assistenz im Zeitalter von Industrie 4.0

Due to the fourth industrial revolution, the production is changing. Manufacturing environments become more complex and processes operate automatically. This requires a seamless and flexible integration of people in the smart factory. Especially in the area of manual assembly, the increasing variety leads to a complexity which can be controlled only by support of technical assistance systems. The paper develops a vision for the worker of the future, based on the challenges of complex manual assembly- and maintenance processes. This vision will be illustrated with current developments and examples of the Fraunhofer-research which combine intelligent and visual assistance approaches

Assessment of Automated (Intelligent) Toolchains

[Background:] Automated Intelligent Toolchains, which are a composition of different tools that use AI or static analysis, are widely used in software engineering to deploy automated program repair techniques, or in software security to identify vulnerabilities. [Overall Research Problem:] Most studies with automated intelligent toolchains report uncertainty and evaluations only of the individual components of the chain. How do we calculate the uncertainty and error propagation on the overall automated toolchain? [Approach:] I plan to replicate research case studies to collect data and design a methodology to reconstruct the overall correctness metrics of the toolchains, or identifying missing variables. Further confirmatory experiments with humans will be performed. Finally, I will implement an artifact to automate the overall assessment of automated toolchains. [Current Status:] A preliminary validation of published studies showed promising results

Mobile Informationsassistenz für die Montage

Mobile Information Assistance for the Assembly - In comparison to autonomous assembly stations the human assembly worker is characterized by a higher degree of flexibility as well as creative solution strategies. Both depend on individual experiences and cognitive capabilities. Here, situation-aware information assistance aims to support manual work tasks. The paper describes an intelligent information assistance system for assembly workers. Based on previous work, it introduces a framework of intelligent components, such as probabilistic behavioral models, cognitive architectures, and mobile assistance applications. The framework assists by providing required assembly information and monitoring assembly activities

2nd International Workshop on Sensor-based Activity Recognition and Interaction, iWOAR 2015. Proceedings: Rostock, Germany, June 25 - 26, 2015

Wearable sensors potentially enable for a better and unobtrusive recognition of human activity and the state of rest, sleep, stress and drive the ongoing trend of the quantified self-movement. As an enabling technology, powerful, while yet inexpensive MEMS-Chips (micro-electro-mechanical system) push the penetration of a broad variety of mobile devices. Thereby, these devices gain high interest, not only in terms of general customer products, but also as integrated systems in an industrial context, either way to enable continuous monitoring of complex life processes and workplace situations. Another challenge that research is facing concerns the limited human abilities of interaction in context of mobility and in situations, in which high attention is being demanded. New and alternative ways are needed to be found in order to take advantage of all human capabilities to enable safe and unobtrusive interaction. This conference-like workshop is initiated and organized by the Fraunhofer IGD in Rostock. While we established the iWOAR workshop the 2nd time - in Rostock, North Germany - we aim to establish an annual tradition with the approach to bring together science and industry. It offers scientists, interested parties, and users in the area of sensor-based activity recognition and interaction the possibility to an exchange of experiences and a presentation of best-practice examples, as well as technical and scientific results. The workshop focuses on technologies for human activity recognition and interaction via inertial sensors (accelerometers, gyroscopes etc.) and their scientific applications