Usability

Operationalizing Ethical AI with tachAId

Operationalizing Ethical AI with tachAId

Validating an interactive advisory tool in two manufacturing use cases
Pavlos Rath-Manakidis, Henry Huick, Björn Krämer ORCID Icon, Laurenz Wiskott ORCID Icon
Integrating artificial intelligence (AI) into workplace processes promises significant efficiency gains, yet organizations face numerous ethical challenges that stakeholders are often initially unaware of—from opacity in decision-making to algorithmic bias and premature automation risks. This paper presents the design and validation of tachAId, an interactive advisory tool aimed at embedding human-centered ethical considerations into the development of AI solutions. It reports on a validation study conducted across two distinct industrial AI applications with varying AI maturity. tachAId successfully directs attention to critical ethical considerations across the AI solution lifecycle that might be overlooked in technically-focused development. However, the findings also reveal a central tension: while effective in raising awareness, the tool’s non-linear design creates significant usability challenges, indicating a user preference for more structured, linear guidance, especially ...
Industry 4.0 Science | Volume 42 | 2026 | Edition 1 | Pages 50-59 | DOI 10.30844/I4SE.26.1.48
From Pixels to Presence

From Pixels to Presence

Transforming remote interactions with telepresence robots
Angelika C. Bullinger ORCID Icon, Danny Rueffert ORCID Icon, Francisco Hernandez ORCID Icon, Holger Hoffmann ORCID Icon
Telepresence Robots (TPR) support the ongoing digital transformation in work and leisure amid climate and societal changes. This article presents two cases, one set in production and one in social participation, to illustrate users’ requirements, which largely coincide. Key requirements include audio and camera quality, a stable Wi-Fi connection, active and passive visual capabilities, and even floor covering.
Industry 4.0 Science | Volume 40 | Edition 5 | Pages 18-25 | DOI 10.30844/I4SD.24.5.18
Cognitive Assistance Systems in Intralogistics

Cognitive Assistance Systems in Intralogistics

User studies with augmented reality and an AI chatbot
Hendrik Stern ORCID Icon, Michael Freitag ORCID Icon
Assistance systems improve work processes, shorten learning times and increase flexibility in the workplace. Human-centered, resilient and sustainable production approaches where user acceptance is of the utmost importance play a crucial role in the digitized Industry 5.0. Two user studies investigate how useful the support of technologies like augmented reality and AI chat actually is. In the context of cognitive assistance systems in intralogistics, artificial intelligence and augmented reality have a great potential and can contribute to an improvement in process performance. The usability of these systems in terms of human-centricity of Industry 5.0 is crucial. This article describes the results and findings of two user studies conducted in the laboratory for intralogistics work processes (picking and packing). The assistance systems used were evaluated using the System Usability Scale.   Cognitive assistance systems in intralogistics Assistance systems make a ...
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 67-72 | DOI 10.30844/I4SE.24.5.66
Adaption of Complex Information Systems to Demographic Changes

Adaption of Complex Information Systems to Demographic Changes

Norbert Gronau ORCID Icon, Corinna Fohrholz
The primary user-model of enterprise systems is expert-based. It depends on the assumption, that the user has expert knowledge about technical terminology and system functions. This model also assume that developer and user has the same degree of knowledge. This statement cannot be accepted. In the future it is more or less necessary that not-skilled workers are familiar with enterprise systems. For this purpose, the center of enterprise research developed a concept for an enterprise system assistant system. It allows the usage of complex enterprise systems also for less trained users.
Industrie Management | Volume 29 | 2013 | Edition 3 | Pages 15-19
Mobile Systems for Collecting Life Data

Mobile Systems for Collecting Life Data

Capabilities, Potentials and Challenges for Use in the Service
Marco Lewandowski, Stephan Oelker
The acquisition of technical data throughout the life of a product is of enormous importance in many industrial areas. For example, the maintenance processes can be designed to be more efficient and derived findings from the operational phase can be used for the development of new generations of products. Mobile systems that support the management of complex technical systems allow greater attention to the operational phases of the lifetime utilizing familiar concepts, such as product lifecycle management (PLM). The requirements and challenges of mobile systems are shown and compared with current trends and concepts.
Industrie Management | Volume 28 | 2012 | Edition 4 | Pages 15-19