@inproceedings{4321, abstract = {{Recent research has shown that computer-based Assistive Technology (AT) has the potential to support individuals with disabilities in production environments. At the same time, step-by-step instructions enable workers to be successful in their performance of industrial tasks that were formerly difficult to accomplish. We merged these two types of intervention and developed an application running on a mobile device that can assist disabled workers working more independently. In an evaluation study, we investigated how our assistive system affects the task efficiency as well as participants’ subjective evaluation. Results show advantages when using the assistive prototype with regard to users’ task efficiency and subjective evaluations.}}, author = {{Aksu, Volkan and Jenderny, Sascha and Martinez, Sascha and Röcker, Carsten}}, booktitle = {{Providing Context-Sensitive Mobile Assistance for People with Disabilities in the Workplace}}, editor = {{Di Bucchianico, Giuseppe }}, isbn = {{978-3-319-94621-4}}, keywords = {{Assistive technology, People with disabilities : Human computer interaction : Industry 4.0, Inclusion, Context-sensitive assistance, Step-by-step instructions, Production, Mobile assistance}}, location = {{Orlando, Florida, USA}}, pages = {{3--14}}, publisher = {{Springer}}, title = {{{Providing Context-Sensitive Mobile Assistance for People with Disabilities in the Workplace}}}, doi = {{10.1007/978-3-319-94622-1_1}}, volume = {{776}}, year = {{2018}}, } @inproceedings{4257, abstract = {{The selection of suitable display technologies for industrial augmented reality (AR) applications is becoming increasingly relevant as such applications move from the proof-of-concept to the application stage. To support project managers, designers and developers in the critical selection process we have developed a checklist of important aspects and related evaluation hints that helps to speed up and improve the selection process. The checklist presented in this paper was designed to be useful for both researchers and practitioners. It combines pertinent information from relevant standards like ISO 9241-210 with results from current research literature and experience from several AR projects in industrial contexts. It can be applied both in collaboration with AR experts, where it helps to prepare relevant information for the collaboration and thus streamlines the process, or stand-alone, as a guideline for the evaluation of different options by a design team. }}, author = {{Paelke, Volker and Büttner, Sebastian and Mucha, Henrik and Röcker, Carsten}}, booktitle = {{Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future.}}, editor = {{Trzcielinski, Stefan}}, isbn = {{978-3-319-60473-2}}, issn = {{2194-5365}}, keywords = {{Augmented reality, Displays, Evaluation, Checklist, Context of use, Human-Computer interaction}}, location = {{Los Angeles, California, USA}}, pages = {{225--234}}, publisher = {{Springer}}, title = {{{A Checklist-Based Approach for Evaluating Augmented Reality Displays in Industrial Applications}}}, doi = {{10.1007/978-3-319-60474-9_21}}, volume = {{606}}, year = {{2017}}, } @inproceedings{682, abstract = {{Well-designed interactive visualizations help users gaining insights into an organization's data and, finally, making decisions. In the Business Intelligence (BI) context, the most popular visualization approach is dashboards, which combine multiple visual components, such as charts, on a single view. Well-founded decisions require the collaboration of several analysts, such as domain experts, line-of-business managers, or key suppliers. For face-to-face collaboration settings, multi-display environments and smart meeting rooms have improved. In the BI context, support for boardrooms is being discussed for this setting. In this paper, we propose annotation dashboards, based on a multitouch and multiuser interaction approach, which are integrated in a multi-display environment constituting a BI digital boardroom. In addition, means of semantic navigation help business users to easily get insights into business context information.}}, author = {{Rubart, Jessica and Lietzau, Benjamin and Soehlke, Patrick and Alex, Bastian and Becker, Stephan and Wienboeker, Tim}}, booktitle = {{2017 IEEE 11th International Conference on Semantic Computing (ICSC)}}, isbn = {{978-1-5090-4285-2 }}, keywords = {{Semantics, Data visualization, Navigation, Collaboration, Context, Business intelligence, Digital Boardroom, Multitouch and Multiuser Interaction}}, location = {{San Diego, CA, USA}}, publisher = {{IEEE}}, title = {{{Semantic Navigation and Discussion in a Digital Boardroom}}}, doi = {{10.1109/icsc.2017.39}}, year = {{2017}}, } @inproceedings{4329, abstract = {{The term Industrie 4.0 carries the vision of smart factories, which automatically adapt to changes and assist the human as much as possible during operation and maintenance. This includes smart human machine interfaces, which reduce the chances of errors and help to make the right decisions. This paper presents an approach to equip the maintenance software running on a tablet PC with augmented reality functionality to be able to place virtual sticky notes at production modules. Additionally, these sticky notes are enriched with position information. The central element of this approach is an ontology-based context-aware framework, which aggregates and processes data from different sources. As a result, a tablet PC application was implemented, which allows displaying maintenance information as well as live plant process data in the form of augmented reality. More than 100 of those sticky notes can be placed using this system, whereas each note requires a file size of 12 to 16 kilo bytes. After placing a sticky note, the system recognizes it even if the camera's position is not exactly the same as during the placing process.}}, author = {{Flatt, Holger and Koch, Nils and Guenter, Andrei and Röcker, Carsten and Jasperneite, Jürgen}}, booktitle = {{ 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)}}, keywords = {{Maintenance engineering, Augmented reality, Context, Context modelin, Production facilities, Cameras}}, location = {{Luxembourg, Luxembourg}}, publisher = {{IEEE}}, title = {{{A Context-Aware Assistance System for Maintenance Applications in Smart Factories based on Augmented Reality and Indoor Localization}}}, doi = {{10.1109/ETFA.2015.7301586}}, year = {{2015}}, } @book{4336, abstract = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.}}, editor = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, isbn = {{978-3-319-16225-6}}, issn = {{1611-3349}}, keywords = {{HCI, ambient assisted living, big data, computational intelligence, context awareness, data centric medicine, decision support, interactive data mining, keyword detection, knoweldge bases, knoweldge discovery, machine learning, medical decision support, medical informatics, natural language processing, pervasive health, smart home, ubiquitous computing, visualization, wearable sensors}}, pages = {{275}}, publisher = {{Springer}}, title = {{{Smart Health: Open Problems and Future Challenges}}}, doi = {{10.1007/978-3-319-16226-3}}, volume = {{8700}}, year = {{2015}}, } @inbook{4338, abstract = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Advancements in ubiquitous computing applications in combination with the use of sophisticated intelligent sensor networks may provide a basis for help. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. In such a system the medical doctors are supported by their smart mobile medical assistants on managing their floods of data semi-automatically by following the human-in-the-loop concept. At the same time patients are supported by their health assistants to facilitate a healthier life, wellness and wellbeing.}}, author = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, booktitle = {{ Smart Health : Open Problems and Future Challenges}}, editor = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, isbn = {{978-3-319-16225-6}}, keywords = {{Smart health, Smart hospital, Ubiquitous computing, Pervasive health, P4 medicine, Context awareness, Computational intelligence}}, pages = {{1 -- 20}}, publisher = {{Springer}}, title = {{{From Smart Health to Smart Hospitals}}}, doi = {{10.1007/978-3-319-16226-3_1}}, volume = {{8700}}, year = {{2015}}, } @inproceedings{2141, abstract = {{Sensor and information fusion is recently a major topic which becomes important in machine diagnosis and conditioning for complex production machines and process engineering. It is a known fact that distributed automation systems have a major impact on signal processing and pattern recognition for machine diagnosis. Therefore, it is necessary to research and develop smart diagnosis methods which are applicable for distributed systems like resource-limited cyber-physical systems. In this paper we propose an new approach for sensor and information fusion based on Evidence Theory and socio-psychological decision-making. We show that context based condition monitoring is instantiated even in conflict situations, oc-curing in real life scenarios permanently. A simple but effective importance measure is proposed which controls the significance of conditioning propositions in a system.}}, author = {{Mönks, Uwe and Lohweg, Volker}}, booktitle = {{18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}}, isbn = {{978-1-4799-0862-2}}, issn = {{1946-0759 }}, keywords = {{Decision making, Robot sensing systems, Reliability, Production, Context, Fuzzy set theory, Data integration}}, title = {{{Machine Conditioning by Importance Controlled Information Fusion}}}, doi = {{10.1109/ETFA.2013.6647984}}, year = {{2013}}, } @inproceedings{4497, abstract = {{This paper presents a cross-cultural study analyzing the willingness of users to share context information in work environments. The focus of the study is on three aspects: the general willingness to provide different types of context information, the acceptance of manual and automated data capturing mechanisms and the identification of personal and cultural differences among users. The results of the study show that potential users are rather reluctant to provide context information, especially if the data is automatically captured by the system, and that the willingness to provide context information differs significantly between user groups with different cultural backgrounds and different degrees of computer knowledge.}}, author = {{Röcker, Carsten}}, booktitle = {{Computational Science and Its Applications – ICCSA 2010}}, editor = {{Taniar, David and Gervasi, Osvaldo and Murgante, Beniamino and Pardede, Eric and Apduhan, Bernady O. }}, isbn = {{978-3-642-12188-3}}, keywords = {{Context-Awareness, Privacy, Ubiquitous Computing, Pervasive Computing, Ambient Intelligence, Evaluation, Technology Acceptance}}, location = {{Fukuoka, Japan}}, pages = {{93--106}}, publisher = {{Springer}}, title = {{{Information Privacy in Smart Office Environments: A Cross-Study Analyzing the Willingness of Users to Share Context Information}}}, doi = {{10.1007/978-3-642-12189-0_9}}, volume = {{6019}}, year = {{2010}}, } @inproceedings{4767, abstract = {{This paper presents a novel concept for personalized privacy support on large public displays. In a first step, a formative evaluation was conducted in order to analyze the requirements of potential users regarding the protection of private information on large public displays. The insights gained in this evaluation were used to design a system, which automatically adapts the information visible on public displays according to the current social situation and the individual privacy preferences of the user working on the display. The developed system was evaluated regarding its appropriateness for daily usage and its usefulness to protect privacy.}}, author = {{Röcker, Carsten and Hinske, Steve and Magerkurth, Carsten}}, booktitle = {{Universal Access in Human-Computer Interaction : Ambient Interaction}}, editor = {{Stephanidis, Constantine}}, isbn = {{978-3-540-73280-8}}, keywords = {{Large Public Displays, Intelligent Privacy Support, Smart Environments, Privacy-Enhancing Technologies, Context-Adapted Information Representation, Evaluation}}, pages = {{198--207}}, publisher = {{Springer}}, title = {{{Intelligent Privacy Support for Large Public Displays}}}, doi = {{10.1007/978-3-540-73281-5_21}}, volume = {{4555}}, year = {{2007}}, } @inproceedings{4830, abstract = {{We present a ubiquitous computing environment that consists of the Hello.Wall in combination with ViewPorts. Hello.Wall is a new wall-sized ambient display [4,2] that emits information via light patterns and is considered informative art. As an integral part of the physical environment, Hello.Wall constitutes a seeding element of a social architectural space conveying awareness information and atmospheres in organizations or at specific places. The display is context-dependent by reflecting identity and distance of people passing by. Hello.Wall can "borrow" other artefacts in order to communicate more detailed information. These mobile devices are called ViewPorts. People can also further interact with the Hello.Wall using ViewPorts via integrated WaveLAN and RFID technology.}}, author = {{Prante, Thorsten and Röcker, Carsten and Streitz, Norbert and Stenzel, Richard and Magerkurth, Carsten and van Alphen, Daniel and Plewe, D. A.}}, booktitle = {{Video Track and Adjunct Proceedings of the Fifth International Conference on Ubiquitous Computing (UBICOMP’03)}}, editor = {{Ljungstrand, P. and Brotherton, J.}}, keywords = {{Ambient display, informative art, social architectural space, context-dependent, sensor-based interaction, interactive wall, interaction design, mobile devices, smart artefacts, ubiquitous computing environment, calm technology}}, location = {{Seattle, Washington, USA,}}, pages = {{277--278}}, title = {{{Hello.Wall – Beyond Ambient Displays}}}, year = {{2003}}, }