TY - THES A1 - Schröter, Alexander T1 - Erstellung und Evaluation eines Fragebogens zur Erfassung von komplexen Interaktionssituationen in Software-Entwicklungsprojekten T1 - Creation and evaluation of a questionnaire for recording complex interaction situations in software development projects N2 - Die fortschreitende Digitalisierung durchzieht immer mehr Lebensbereiche und führt zu immer komplexeren sozio-technischen Systemen. Obwohl diese Systeme zur Lebenserleichterung entwickelt werden, können auch unerwünschte Nebeneffekte entstehen. Ein solcher Nebeneffekt könnte z.B. die Datennutzung aus Fitness-Apps für nachteilige Versicherungsentscheidungen sein. Diese Nebeneffekte manifestieren sich auf allen Ebenen zwischen Individuum und Gesellschaft. Systeme mit zuvor unerwarteten Nebeneffekten können zu sinkender Akzeptanz oder einem Verlust von Vertrauen führen. Da solche Nebeneffekte oft erst im Gebrauch in Erscheinung treten, bedarf es einer besonderen Betrachtung bereits im Konstruktionsprozess. Mit dieser Arbeit soll ein Beitrag geleistet werden, um den Konstruktionsprozess um ein geeignetes Hilfsmittel zur systematischen Reflexion zu ergänzen. In vorliegender Arbeit wurde ein Analysetool zur Identifikation und Analyse komplexer Interaktionssituationen in Software-Entwicklungsprojekten entwickelt. Komplexe Interaktionssituationen sind von hoher Dynamik geprägt, aus der eine Unvorhersehbarkeit der Ursache-Wirkungs-Beziehungen folgt. Hierdurch können die Akteur*innen die Auswirkungen der eigenen Handlungen nicht mehr überblicken, sondern lediglich im Nachhinein rekonstruieren. Hieraus können sich fehlerhafte Interaktionsverläufe auf vielfältigen Ebenen ergeben und oben genannte Nebeneffekte entstehen. Das Analysetool unterstützt die Konstrukteur*innen in jeder Phase der Entwicklung durch eine angeleitete Reflexion, um potenziell komplexe Interaktionssituationen zu antizipieren und ihnen durch Analyse der möglichen Ursachen der Komplexitätswahrnehmung zu begegnen. Ausgehend von der Definition für Interaktionskomplexität wurden Item-Indikatoren zur Erfassung komplexer Interaktionssituationen entwickelt, die dann anhand von geeigneten Kriterien für Komplexität analysiert werden. Das Analysetool ist als „Do-It-Yourself“ Fragebogen mit eigenständiger Auswertung aufgebaut. Die Genese des Fragebogens und die Ergebnisse der durchgeführten Evaluation an fünf Softwarentwickler*innen werden dargestellt. Es konnte festgestellt werden, dass das Analysetool bei den Befragten als anwendbar, effektiv und hilfreich wahrgenommen wurde und damit eine hohe Akzeptanz bei der Zielgruppe genießt. Dieser Befund unterstützt die gute Einbindung des Analysetools in den Software-Entwicklungsprozess. N2 - Advancing digitalization is permeating more and more areas of life and leading to increasingly complex socio-technical systems. Although these systems are being developed to make life easier, undesirable side effects can also arise. One such side effect could be, for example, the use of data from fitness apps for adverse insurance decisions. These side effects manifest themselves at all levels between the individual and society. Systems with previously unexpected side effects can lead to a decline in acceptance or a loss of trust. Since such side effects often only become apparent during use, special consideration is required during the design process. This work is intended to make a contribution to supplementing the design process with a suitable tool for systematic reflection. In this thesis, an analysis tool was developed to identify and analyze complex interaction situations in software development projects. Complex interaction situations are characterized by high dynamics, resulting in unpredictability of cause-effect relationships. As a result, the actors are no longer able to oversee the effects of their own actions, but can only reconstruct them in retrospect. This can result in incorrect interaction processes on many levels and the side effects mentioned above. The analysis tool supports the designers in each phase of development through guided reflection in order to anticipate potentially complex interaction situations and to counter them by analyzing the possible causes of the perception of complexity. Based on the definition of interaction complexity, item indicators were developed to capture complex interaction situations, which are then analyzed using suitable criteria for complexity. The analysis tool is structured as a "do-it-yourself" questionnaire with independent evaluation. The genesis of the questionnaire and the results of the evaluation carried out on five software developers are presented. It was found that the analysis tool was perceived by the respondents as applicable, effective and helpful and thus enjoys a high level of acceptance among the target group. This finding supports the good integration of the analysis tool into the software development process. KW - Komplexität KW - sozio-technisches System KW - Softwareentwicklung KW - Mensch-Technik-Interaktion KW - Methodik KW - complexity KW - socio-technical system KW - software development KW - human-technology interaction KW - methodology Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-631873 ER - TY - GEN A1 - Shan, Yuli A1 - Guan, Dabo A1 - Hubacek, Klaus A1 - Zheng, Bo A1 - Davis, Steven J. A1 - Jia, Lichao A1 - Liu, Jianghua A1 - Liu, Zhu A1 - Fromer, Neil A1 - Mi, Zhifu A1 - Meng, Jing A1 - Deng, Xiangzheng A1 - Li, Yuan A1 - Lin, Jintai A1 - Schroeder, Heike A1 - Weisz, Helga A1 - Schellnhuber, Hans Joachim T1 - City-level climate change mitigation in China T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - As national efforts to reduce CO2 emissions intensify, policy-makers need increasingly specific, subnational information about the sources of CO2 and the potential reductions and economic implications of different possible policies. This is particularly true in China, a large and economically diverse country that has rapidly industrialized and urbanized and that has pledged under the Paris Agreement that its emissions will peak by 2030. We present new, city level estimates of CO2 emissions for 182 Chinese cities, decomposed into 17 different fossil fuels, 46 socioeconomic sectors, and 7 industrial processes. We find that more affluent cities have systematically lower emissions per unit of gross domestic product (GDP), supported by imports from less affluent, industrial cities located nearby. In turn, clusters of industrial cities are supported by nearby centers of coal or oil extraction. Whereas policies directly targeting manufacturing and electric power infrastructure would drastically undermine the GDP of industrial cities, consumption based policies might allow emission reductions to be subsidized by those with greater ability to pay. In particular, sector based analysis of each city suggests that technological improvements could be a practical and effective means of reducing emissions while maintaining growth and the current economic structure and energy system. We explore city-level emission reductions under three scenarios of technological progress to show that substantial reductions (up to 31%) are possible by updating a disproportionately small fraction of existing infrastructure. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1096 KW - carbon-dioxide emissions KW - fired power plants KW - co2 emissions KW - energy use KW - cluster analysis KW - uncertainties KW - urbanization KW - methodology KW - combustion KW - inventory Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-471541 SN - 1866-8372 IS - 1096 ER - TY - GEN A1 - Noiray, Aude A1 - Ries, Jan A1 - Tiede, Mark A1 - Rubertus, Elina A1 - Laporte, Catherine A1 - Ménard, Lucie T1 - Recording and analyzing kinematic data in children and adults with SOLLAR BT - Sonographic & Optical Linguo-Labial Articulation Recording system T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Understanding the development of spoken language in young children has become increasingly important for advancing basic theories of language acquisition and for clinical practice. However, such a goal requires refined measurements of speech articulation (e.g., from the tongue), which are difficult to obtain from young children. In recent years though, technological advances have allowed developmental researchers to make significant steps in that direction. For instance, movements of the tongue, an articulator that is essential for spoken language, can now be tracked and recorded in children with ultrasound imaging. This technique has opened novel research avenues in (a)typical language acquisition, enabling researchers to reliably capture what has long remained invisible in the speech of young children. Within this context, we have designed an experimental platform for the recording and the processing of kinematic data: SOLLAR (Sonographic and Optical Linguo-Labial Articulatory Recording system). The method has been tailored for children, but it is suitable for adults. In the present article, we introduce the recording environment developed to record over 100 children and 30 adults within SOLLAR. We then describe SOLLAR’s data processing framework, providing examples of data visualization and a summary of strengths and limitations. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 667 KW - ultrasound imaging KW - speech kinematics KW - methodology KW - language acquisition Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-483159 SN - 1866-8364 IS - 667 ER - TY - GEN A1 - Brand, Ralf A1 - Heck, Philipp A1 - Ziegler, Matthias T1 - Illegal performance enhancing drugs and doping in sport BT - a picture-based brief implicit association test for measuring athletes' attitudes N2 - Background: Doping attitude is a key variable in predicting athletes' intention to use forbidden performance enhancing drugs. Indirect reaction-time based attitude tests, such as the implicit association test, conceal the ultimate goal of measurement from the participant better than questionnaires. Indirect tests are especially useful when socially sensitive constructs such as attitudes towards doping need to be described. The present study serves the development and validation of a novel picture-based brief implicit association test (BIAT) for testing athletes' attitudes towards doping in sport. It shall provide the basis for a transnationally compatible research instrument able to harmonize anti-doping research efforts. Method: Following a known-group differences validation strategy, the doping attitudes of 43 athletes from bodybuilding (representative for a highly doping prone sport) and handball (as a contrast group) were compared using the picture-based doping-BIAT. The Performance Enhancement Attitude Scale (PEAS) was employed as a corresponding direct measure in order to additionally validate the results. Results: As expected, in the group of bodybuilders, indirectly measured doping attitudes as tested with the picture-based doping-BIAT were significantly less negative (eta(2) = .11). The doping-BIAT and PEAS scores correlated significantly at r = .50 for bodybuilders, and not significantly at r = .36 for handball players. There was a low error rate (7%) and a satisfactory internal consistency (r(dagger dagger) = .66) for the picture-based doping-BIAT. Conclusions: The picture-based doping-BIAT constitutes a psychometrically tested method, ready to be adopted by the international research community. The test can be administered via the internet. All test material is available "open source". The test might be implemented, for example, as a new effect-measure in the evaluation of prevention programs. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 359 KW - doping attitude KW - bodybuilding KW - indirect test KW - implicit attitude test (IAT) KW - methodology Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-401404 ER - TY - BOOK A1 - Renans, Agata A1 - Zimmermann, Malte A1 - Greif, Markus T1 - Questionnaire on focus semantics N2 - This is the 15th issue of the working paper series Interdisciplinary Studies on Information Structure (ISIS) of the Sonderforschungsbereich (SFB) 632. This online version contains the Questionnaire on Focus Semantics contributed by Agata Renans, Malte Zimmermann and Markus Greif, members of Project D2 investigating information structural phenomena from a typological perspective. The present issue provides a tool for collecting and analyzing natural data with respect to relevant linguistic questions concerning focus types, focus sensitive particles, and the effects of quantificational adverbs and presupposition on focus semantics. This volume is a supplementation to the Reference manual of the Questionnaire on Information Structure, issued by Project D2 in ISIS 4 (2006). T3 - Interdisciplinary studies on information structure : ISIS ; working papers of the SFB 632 - 15 KW - focus sensitive expressions KW - semantic fieldwork KW - methodology Y1 - 2010 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-36826 ER -