@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{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}},
}