TY - CHAP A1 - Adnan, Hassan Sami A1 - Srsic, Amanda A1 - Venticich, Pete Milos A1 - Townend, David M.R. T1 - Using AI for mental health analysis and prediction in school surveys T2 - European journal of public health N2 - Background: Childhood and adolescence are critical stages of life for mental health and well-being. Schools are a key setting for mental health promotion and illness prevention. One in five children and adolescents have a mental disorder, about half of mental disorders beginning before the age of 14. Beneficial and explainable artificial intelligence can replace current paper- based and online approaches to school mental health surveys. This can enhance data acquisition, interoperability, data driven analysis, trust and compliance. This paper presents a model for using chatbots for non-obtrusive data collection and supervised machine learning models for data analysis; and discusses ethical considerations pertaining to the use of these models. Methods: For data acquisition, the proposed model uses chatbots which interact with students. The conversation log acts as the source of raw data for the machine learning. Pre-processing of the data is automated by filtering for keywords and phrases. Existing survey results, obtained through current paper-based data collection methods, are evaluated by domain experts (health professionals). These can be used to create a test dataset to validate the machine learning models. Supervised learning can then be deployed to classify specific behaviour and mental health patterns. Results: We present a model that can be used to improve upon current paper-based data collection and manual data analysis methods. An open-source GitHub repository contains necessary tools and components of this model. Privacy is respected through rigorous observance of confidentiality and data protection requirements. Critical reflection on these ethics and law aspects is included in the project. Conclusions: This model strengthens mental health surveillance in schools. The same tools and components could be applied to other public health data. Future extensions of this model could also incorporate unsupervised learning to find clusters and patterns of unknown effects. KW - ethics KW - artificial intelligence KW - adolescent KW - child KW - confidentiality KW - health personnel KW - mental disorders KW - mental health KW - personal satisfaction KW - privacy KW - school (environment) KW - statutes and laws KW - public health medicine KW - surveillance KW - medical KW - prevention KW - datasets KW - machine learning KW - supervised machine learning KW - data analysis Y1 - 2020 U6 - https://doi.org/10.1093/eurpub/ckaa165.336 SN - 1101-1262 SN - 1464-360X VL - 30 SP - V125 EP - V125 PB - Oxford Univ. Press CY - Oxford [u.a.] ER - TY - CHAP A1 - Gleiß, Alexander T1 - The patient will see you now-towards an understanding of on-demand healthcare T2 - 2020 IEEE 22nd Conference on Business Informatics (CBI) N2 - The increasing prevalence and ubiquity of digital technologies is changing the needs and expectations of patients towards healthcare services. As a result, a plethora of patient-centered services edges into the healthcare market. Since digital technologies bear the potential to surmount barriers in time and space, patients increasingly demand real-time or near-time healthcare services. Amongst a cloud of related concepts in the context of digital health, one term increasingly typifies this impulse: on-demand healthcare. While this term can be noticeably found in practice, there is hardly some theoretical foundation so far. Against this background, the aim of this paper is to address this research gap and to explore the phenomenon of on-demand healthcare. Based on a design-science approach including a literature review and analysis of in-depth interviews and empirical cases, the outcome of this paper is twofold: (1) a conceptual framework and (2) a proposal for a definition of on-demand healthcare. KW - on-demand healthcare KW - digital health KW - mHealth KW - smart health KW - connected health KW - healthcare technologies Y1 - 2020 SN - 978-1-7281-9926-9 SN - 978-1-7281-9927-6 U6 - https://doi.org/10.1109/CBI49978.2020.00024 SP - 154 EP - 161 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Möring, Sebastian A1 - Aarseth, Espen T1 - The game itself? BT - Towards a Hermeneutics of Computer Games T2 - International Conference on the Foundations of Digital Games (FDG ’20) N2 - In this paper, we reassess the notion and current state of ludohermeneutics in game studies, and propose a more solid foundation for how to conduct hermeneutic game analysis. We argue that there can be no ludo-hermeneutics as such, and that every game interpretation rests in a particular game ontology, whether implicit or explicit. The quality of this ontology, then, determines a vital aspect of the quality of the analysis. Y1 - 2020 U6 - https://doi.org/10.1145/3402942.3402978 SP - 1 EP - 8 PB - ACM CY - New York ER - TY - CHAP A1 - Möring, Sebastian A1 - Aarseth, Espen T1 - The game itself? BT - Towards a Hermeneutics of Computer Games T2 - International Conference on the Foundations of Digital Games (FDG ’20) N2 - In this paper, we reassess the notion and current state of ludohermeneutics in game studies, and propose a more solid foundation for how to conduct hermeneutic game analysis. We argue that there can be no ludo-hermeneutics as such, and that every game interpretation rests in a particular game ontology, whether implicit or explicit. The quality of this ontology, then, determines a vital aspect of the quality of the analysis. Y1 - 2020 U6 - https://doi.org/0.1145/3402942.3402978 SP - 1 EP - 8 PB - ACM CY - New York ER - TY - CHAP A1 - Krause, Hannes-Vincent A1 - Große Deters, Fenne A1 - Baumann, Annika T1 - The envy spiral BT - unraveling the black box of social media positivityorganizations T2 - Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research-in-Progress Papers N2 - On Social Networking Sites (SNS) users disclose mostly positive and often self-enhancing information. Scholars refer to this phenomenon as the positivity bias in SNS communication (PBSC). However, while theoretical explanations for this phenomenon have been proposed, an empirical proof of these theorized mechanisms is still missing. The project presented in this Research-in-Progress paper aims at explaining the PBSC with the mechanism specified in the self-enhancement envy spiral. Specifically, we hypothesize that feelings of envy drive people to post positive and self-enhancing content on SNS. To test this hypothesis, we developed an experimental design allowing to examine the causal effect of envy on the positivity of users’ subsequently posted content. In a preliminary study, we tested our manipulation of envy and could show its effectiveness in inducing different levels of envy between our groups. Our project will help to broaden the understanding of the complex dynamics of SNS and the potentially adverse driving forces underlying them. Y1 - 2020 UR - https://aisel.aisnet.org/ecis2020_rip/68 SN - 978-1-7336325-1-5 PB - AIS Electronic Library (AISeL) CY - [Erscheinungsort nicht ermittelbar] ER - TY - CHAP A1 - Rungrottheera, Wannarut A1 - Chang, Der-Chen A1 - Schulze, Bert-Wolfgang T1 - The edge calculus of singularity order >3 T2 - Journal of nonlinear and convex analysis : an international journal N2 - We study Mellin pseudo-differential algebras on singular straight cones and manifolds with singularity of order >= 3. Those are necessary to express parametrices of elliptic differential operators with a corresponding cornerdegenerate behavior, and we obtain regularity in weighted spaces. KW - Pseudo-differential algebras KW - symbols KW - singular manifolds KW - Mellin KW - operator calculus Y1 - 2020 SN - 1345-4773 SN - 1880-5221 VL - 21 IS - 2 SP - 387 EP - 401 PB - Yokohama Publishers CY - Yokohama ER - TY - CHAP A1 - Risch, Lucie A1 - Bashford, Greg A1 - Kulig, Kornelia A1 - Kaplick, Hannes A1 - Mayer, Frank A1 - Cassel, Michael T1 - Spatial frequency analysis identifies altered local Micromorphology in adolescent athletes with Achilles tendinopathy T2 - Medicine and science in sports and exercise : MSSE ; official journal of the American College of Sports Medicine Y1 - 2020 U6 - https://doi.org/10.1249/01.mss.0000670932.99564.57 SN - 0195-9131 SN - 1530-0315 VL - 52 SP - 82 EP - 82 PB - Lippincott Williams & Wilkins CY - Philadelphia ER - TY - CHAP A1 - Haase, Jennifer A1 - Matthiesen, Julia A1 - Schüffler, Arnulf A1 - Kluge, Annette T1 - Retentivity beats prior knowledge as predictor for the acquisition and adaptation of new production processes T2 - Proceedings of the 53rd Hawaii International Conference on System Sciences N2 - In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual’s performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail. KW - Innovation in Organizations: Learning KW - learning KW - Unlearning KW - Intentional Forgetting KW - experiment KW - forgetting KW - prior knowledge KW - production process KW - retentivity Y1 - 2020 U6 - https://doi.org/10125/64331 VL - 53 SP - 4797 EP - 4805 ER - TY - CHAP A1 - Grum, Marcus A1 - Blunk, Oliver A1 - Rojahn, Marcel A1 - Fettke, Peter A1 - Gronau, Norbert T1 - Research challenges of knowledge modelling and the outline of a research agenda T2 - Knowledge in digital age : IFKAD 2020 KW - knowledge management KW - process modelling KW - research challenges Y1 - 2020 SN - 978-88-96687-13-0 SN - 2280-787X PB - The Arts of Business Institute CY - Matera, Italy ER - TY - CHAP A1 - Botsch, Gideon T1 - Rechtsextremer Antisemitismus in Brandenburg T2 - Mit der Verfassung gegen Antisemitismus : Dokumentation des Fach-Symposiums an der Universität Potsdam Y1 - 2020 UR - https://www.stiftung-toleranz.de/wp-content/uploads/2020/11/Mit-der-Verfassung-gegen-den-AS_Kompendium-final.pdf SP - 14 EP - 19 PB - F. C. Flick Stiftung CY - Potsdam ER -