Andreas Holzinger

Markus Helfert

Hugo Plácido Silva

Larry Constantine

Maria Jose Escalona

Andres Jimenez Ramirez

This book constitutes selected papers of the Second International Conference on Computer-Human Interaction Research and Applications, CHIRA 2018, held in Seville, Spain, in September 2018, and Third International Conference on Computer-Human Interaction Research and Applications, CHIRA 2019, held in Vienna, Austria, in September 2019. The 7 full papers presented in this book were carefully reviewed and selected from 28 submissions for CHIRA 2018 and 36 submissions for CHIRA 2019. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on computer-human interaction, including Interaction design, human factors, entertainment, cognition, perception, user-friendly software and systems, pervasive technologies and interactive devices.

Second International Conference, CHIRA 2018, Seville, Spain, September 19-21, 2018 and Third International Conference, CHIRA 2019, Vienna, Austria, September 20-21, 2019, Revised Selected Papers

Computer-Human Interaction Research and Applications

Gabriella Pasi

This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.

Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Maribor, Slovenia, July 1-3, 2013, Proceedings

Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data

Martina Ziefle

Carsten Röcker

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.

Open Problems and Future Challenges

Smart Health

Martin Hitz

Matjaž Debevc

This book constitutes the refereed proceedings of the First International Conference on Human Factors in Computing and Informatics, SouthCHI 2013, held in Maribor, Slovenia, in July 2013. SouthCHI is the successor of the USAB Conference series and promotes all aspects of human-computer interaction. The 38 revised full papers presented together with 12 short papers, 4 posters and 3 doctoral thesis papers were carefully reviewed and selected from 169 submissions. The papers are organized in the following topical sections: measurement and usability evaluation; usability evaluation - medical environments; accessibility methodologies; game-based methodologies; Web-based systems and attribution research; virtual environments; design culture for ageing well: designing for "situated elderliness"; input devices; adaptive systems and intelligent agents; and assessing the state of HCI research and practice in South-Eastern Europe.

First International Conference, SouthCHI 2013, Maribor, Slovenia, July 1-3, 2013, Proceedings

Human Factors in Computing and Informatics

A Min Tjoa

Edgar Weippl

Peter Kieseberg

This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings

Machine Learning and Knowledge Extraction

Gerhard Leitner

The Human–Computer Interaction & Usability Engineering Workgroup (Ar- ¨ beitskreis HCI&UE) of the Austrian Computer Society (Osterreichische C- puter Gesellschaft, OCG) has been serving as an international platform for interdisciplinaryexchange,researchanddevelopmentsinceFebruary2005. While human–computer interaction (HCI) traditionally brings psychologists and c- puter scientists together, the inclusion of usability engineering (UE), a software engineering discipline ensuring the appropriate implementation of applications, has become indispensable. Because of the fast developments in information and communication technologies (ICT), the ?elds of application of HCI and UE are broader than ever. Therefore, USAB 2010 had, in comparison to past USAB conferences, quite a broad focus on all potential aspects of HCI in work - vironments, learning, private life and leisure activities. Each of these areas of application includes various challenges for HCI and UE, which go far beyond the classical desktop interface as well as usability norms and de?nitions pos- lated in the late twentieth century. The contributions for USAB 2010 provide important insights on the actual researchactivities in the ?eld and support the interested audience by presenting the state of the art in HCI researchas well as giving valuable input on questions arising when planning or designing research projects. Because of the increasing propagation of the ?eld of HCI research, it is not possible to address all areas within a smallconference;however,this is not the goalofUSAB 2010—itshould be seen as a metaphorical counterpart of a wholesale, an HCI delicatessen shop providinga tasting menuwith di?erent courses(hopefully) cateringto alltastes.

6th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering, USAB 2010, Klagenfurt, Austria, November 4-5, 2010. Proceedings

HCI in Work and Learning, Life and Leisure

This book constitutes selected papers of the Fourth International Conference on Computer-Human Interaction Research and Applications, CHIRA 2020, held virtually, in November 2020. The 8 full papers presented in this book were carefully reviewed and selected from 44 submissions. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on computer-human interaction, including Interaction design, human factors, entertainment, cognition, perception, user-friendly software and systems, pervasive technologies and interactive devices.

4th International Conference, CHIRA 2020, Virtual Event, November 5–6, 2020, Revised Selected Papers

Hugo Plácido da Silva

Alan Pope

This book constitutes the proceedings of the Third International Conference on Physiological Computing Systems, PhyCS 2016, held in Lisbon, Portugal, in July 2016. The 12 papers presented in this volume were carefully reviewed and selected from numerous submissions. They contribute to the understanding of relevant trends of current research on physiological computing systems, including brain-computer interfaces, virtual reality, psychophysiological load assessment in unconstrained scenarios, body tracking and movement pattern recognition, emotion recognition, machine learning applied to diabetes and hypertension, tangible biofeedback technologies, multimodal sensor data fusion, and deep learning for hand gesture recognition.

International Conferences, PhyCS 2016, Lisbon, Portugal, July 27–28, 2016, PhyCS 2017, Madrid, Spain, July 27–28, 2017, PhyCS 2018, Seville, Spain, September 19–21, 2018, Revised and Extended Selected Papers

Physiological Computing Systems

Providing a comprehensive introduction into an overview of the field of pervasive healthcare applications, this volume incorporates a variety of timely topics ranging from medical sensors and hardware infrastructures, to software platforms and applications and addresses issues of user experience and technology acceptance. The recent developments in the area of information and communication technologies have laid the groundwork for new patient-centred healthcare solutions. While the majority of computer-supported healthcare tools designed in the last decades focused mainly on supporting care-givers and medical personnel, this trend changed with the introduction of pervasive healthcare technologies, which provide supportive and adaptive services for a broad variety and diverse set of end users. With contributions from key researchers the book integrates the various aspects of pervasive healthcare systems including application design, hardware development, system implementation, hardware and software infrastructures as well as end-user aspects providing an excellent overview of this important and evolving field.

State-of-the-art and Beyond

Pervasive Health

Medical Informatics is defined as an interdisciplinary field studying the effective use of biomedical data, information and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health. To emphasize the broad character it is called Biomedical Informatics. The course LV 444.152 consists of the following 12 lectures: 1. Introduction: Computer Science meets Life Sciences, challenges and future directions; 2. Back to the future: Fundamentals of Data, Information and Knowledge; 3. Structured Data: Coding, Classification (ICD, SNOMED, MeSH, UMLS); 4. Biomedical Databases: Acquisition, Storage, Information Retrieval and Use; 5. Semi structured and weakly structured data; 6. Multimedia Data Mining and Knowledge Discovery; 7. Knowledge and Decision: Cognitive Science and Human-Computer Interaction; 8. Biomedical Decision Making: Reasoning and Decision Support; 9. Intelligent Information Visualization and Visual Analytics; 10. Biomedical Information Systems and Medical Knowledge Management; 11. Biomedical Data: Privacy, Safety and Security 12. Methodology for Information Systems: System Design, Usability and Evaluation

Lecture Notes to LV 444.152

Biomedical Informatics

Ana Fred

John O'Donoghue

This book constitutes the thoroughly refereed proceedings of the International Conference on Communication Technologies for Ageing Well and e-Health, ICT4AgeingWell 2015, held in Lisbon, Portugal, in May 2015. The 11 full papers and two invited papers presented were carefully reviewed and selected from 45 submissions. The papers cover five main topic areas, covering different aspects, including Ambient Assisted Living, Telemedicine and E-Health, Monitoring, Accessibility and User Interfaces, Robotics and Devices for Independent Living and HCI for Ageing Populations.

First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers

Information and Communication Technologies for Ageing Well and e-Health

This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022. The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23–26, 2022, Proceedings

Klaus Miesenberger

The Workgroup Human–Computer Interaction & Usability Engineering (Arbeitskreis HCI&UE) of the Austrian Computer Society (Österreichische Computer Gesellschaft, OCG) has been serving as a platform for interdisciplinary exchange, research and development since February 2005. While human–computer interaction (HCI) tra- tionally brings psychologists and computer scientists together, the inclusion of usab- ity engineering (UE), which is a software engineering discipline and ensures the appropriate implementation of applications, has become indispensable. Our 2009 topic was therefore Human–Computer Interaction & Usability for e- Inclusion (HCI4e-I), culminating in the 5th annual Usability Symposium USAB 2009 held during November 9–10, 2009 in Linz, Austria (http://usab.icchp.org), organized together with the Workgroup Information Technology for People with Special Needs (OCG Arbeitskreis IT für Menschen mit besonderen Bedürfnissen). The term e-inclusion, also known as digital inclusion, is used within the European Union to encompass all activities related to the achievement of an inclusive infor- tion society. New information technologies always bring the risk of a digital divide, and con- quently e-Inclusion wants to put emphasis on a digital cohesion and on enhancing opportunities with IT into all segments of the European population, including dis- vantaged people, e.g., due to lack of education (e-Competences, e-Learning), age (e-Ageing), gender apartheid (equality=e-Quality), disabilities (e-Accessibility), ill health (e-Health) etc. At the European level, e-Inclusion is part of the third pillar of the 2010 policy initiative, managed by the Directorate General for Information Society and Media of the European Commission.

5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2009, Linz, Austria, November 9-10, 2009, Proceedings

HCI and Usability for e-Inclusion

Francesco Buccafurri

This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with the International Conference on Availability, Reliability and Security, ARES 2016, held in Salzburg, Austria, in September 2016. The 13 revised full papers and 4 short papers presented were carefully reviewed and selected from 23 submissions. They are organized in the following topical sections: Web and semantics; diagnosis, prediction and machine learning; security and privacy; visualization and risk management; and privacy aware machine learning for health data science. div

IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings

Availability, Reliability, and Security in Information Systems

Randy Goebel

Michael Mengel

Heimo Müller

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ''fit-for-purpose samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.

State-of-the-Art and Future Challenges

Artificial Intelligence and Machine Learning for Digital Pathology

Stephen Fairclough

Dennis Majoe

This book constitutes the proceedings of the First International Conference on Physiological Computing Systems, PhyCS 2014, held in Lisbon, Portugal, in January 2014. The 10 papers presented in this volume were carefully reviewed and selected from 52 submissions. They are organized in topical sections named: methodologies and methods; devices; applications; and human factors.

First International Conference, PhyCS 2014, Lisbon, Portugal, January 7-9, 2014, Revised Selected Papers

Matjaz Debevc

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017. The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics.

First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings

Massimo Ferri

Vasile Palade

The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.

Andreas Holzinger

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