@inproceedings{4096, abstract = {{Projection-based assistive systems have shown to be a promising technology to support workers during manual assembly processes in industrial manufacturing by projecting instructions into the working area. While existing studies have investigated various aspects of these systems, little research has been conducted regarding the way in which the user accesses the provided instructions. In this paper we analyze the eye movements of users during the repeated execution of an assembly task at a projection-based assistive system in order to gain insights into the utilization of the presented instructions. For this purpose, we analyzed eye tracking recordings from a user study with 15 participants to investigate the sequences in which the respective instructions are observed by the users. The results show a significantly lower number of nonlinear gaze sequences as well as a significantly higher number of steps without observing the instructions during the repeated use of the assistive system. In addition, there was a significantly lower task completion time during repeated use of the assistive system.}}, author = {{Heinz, Mario and Büttner, Sebastian and Röcker, Carsten}}, booktitle = {{22nd International Conference on Human-Computer Interaction}}, isbn = {{978-3-030-50343-7}}, keywords = {{Assistive systems, Eye tracking, Human behavior}}, location = {{Copenhagen, Denmark}}, pages = {{259--272}}, publisher = {{Springer}}, title = {{{Exploring Users' Eye Movements When Using Projection-based Assembly Assistive Systems}}}, doi = {{https://doi.org/10.1007/978-3-030-50344-4_19}}, volume = {{12203}}, year = {{2020}}, } @inproceedings{4318, abstract = {{Recent advances in the field of industrial digitization and automation lead to an increasing need for assistance systems to support workers in various fields of activity, such as assembly, logistics and maintenance. Current assistance systems for the maintenance area are usually based on a single visualization technology. However, in our view, this is not practicable in terms of real activities, as these operations involve various subtasks for which different interaction concepts would be advantageous. Therefore, in this paper, we propose a concept for a multi-device assistive system, which combines multiple devices to provide workers with relevant information over different subtasks of a maintenance operation and present our first prototype for such a system.}}, author = {{Heinz, Mario and Dhiman, Hitesh and Röcker, Carsten}}, booktitle = {{Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018}}, editor = {{Holzinger, Andreas and Kieseberg, Peter and Tjoa, A Min and Weippl, Edgar}}, isbn = {{978-3-319-99739-1}}, keywords = {{Human-machine-interaction, Multimodal feedback, Assistive systems, Augmented-reality, Smart factory}}, location = {{Hamburg}}, pages = {{239 -- 247}}, publisher = {{Springer}}, title = {{{A Multi-Device Assistive System for Industrial Maintenance Operations}}}, doi = {{10.1007/978-3-319-99740-7_16}}, volume = {{11015}}, year = {{2018}}, } @inproceedings{4324, abstract = {{On the long term, the current wave of digitization and automation in the industrial environment will result in a progressively higher complexity and heterogeneity in the industrial environment. In this context, a growing need arises for the development of digital assistance systems to support workers in various fields of activities. Current systems are generally limited to visualizations and visual feedback. Therefore, in the scope of this paper, we take a look at the major challenges and opportunities for the integration of multimodal feedback systems in today’s and future industrial environments. It shows that the integration of multimodal feedback is subject to a complex combination of technical, user-cenric and legal aspects.}}, author = {{Heinz, Mario and Röcker, Carsten}}, booktitle = {{Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018}}, editor = {{Holzinger, Andreas and Kieseberg, Peter and Tjoa, A Min and Weippl, Edgar}}, isbn = {{978-3-319-99739-1}}, keywords = {{Human-machine-interaction, Multimodal feedback, Assistive systems, Augmented-reality, Smart factory}}, location = {{Hamburg}}, publisher = {{Springer}}, title = {{{Feedback Presentation for Workers in Industrial Environments–Challenges and Opportunities}}}, doi = {{10.1007/978-3-319-99740-7_17}}, volume = {{11015}}, year = {{2018}}, } @inproceedings{4299, abstract = {{With the advances of technology, intelligent assistive systems that adapt to individual humans will become feasible. However, application areas of such systems are rarely discussed within the Industry 4.0 community. Most assistive systems that have been presented have been developed for specific task, such as assembly support or warehouse picking, but there might be a huge uncovered design space to be explored. With this work, we want to step back from existing systems and analyze the design opportunities of assistive systems especially for small and medium-size enterprises (SME). To achieve this goal we conducted a study in four SME, consisting of observations and interviews. Here we present our findings about the potential future application areas of human-centered assistive systems.}}, author = {{Mucha, Henrik and Büttner, Sebastian and Röcker, Carsten}}, booktitle = {{Human-Computer Interaction – Perspectives on Industry 4.0. Workshop at i-KNOW 2016 }}, keywords = {{Industry 4.0, Assistive Systems, Small and Medium-Sized Enterprises, SME, Human-Centered Design, Human-Computer Interaction for Industry}}, location = {{Graz, Austria}}, publisher = {{TU}}, title = {{{Application Areas for Human-Centered Assistive Systems}}}, year = {{2016}}, }