Association between breast cancer risk factors and molecular type in postmenopausal patients with hormone receptor-positive early breast cancer
Wunderle, Marius; Pretscher, Jutta; Brucker, Sara Y.; Volz, Bernhard; Hartmann, Arndt; Fiessler, Cornelia; et al., ..; Rauh, Claudia (2019)
Wunderle, Marius; Pretscher, Jutta; Brucker, Sara Y.; Volz, Bernhard; Hartmann, Arndt...
Breast Cancer Research and Treatment 174, 453-461.
DOI: 10.1007/s10549-018-05115-6
Open Access
Texture-based Presentation Attack Detection for Automatic Speaker Verification
González-Soler, Lázaro Janier; Patino, Jose; Gomez-Barrero, Marta; Todisco, Massimiliano; Busch, Christoph; Evans, Nicholas (2019)
González-Soler, Lázaro Janier; Patino, Jose; Gomez-Barrero, Marta...
2020 IEEE International Workshop on Information Forensics and Security (WIFS). New York, United States of America, 1-6.
Open Access
Über Erfahrungen in der Anwendung computerbasierter Streichinstrumente: das Duo Expanded Strings
Pöpel, Cornelius; Marx, Günter (2019)
Mensch und Computer 2019 - Workshopband. Gesellschaft für Informatik e.V., Bonn, 539–542.
DOI: 10.18420/MUC2019-WS-574
Open Access Peer Reviewed
Neben der Entwicklung computerbasierter Musikinterfaces und Musikinstrumente stellt deren Erprobung und Nutzung im realen Kontext des Musik- und Konzertlebens eine Herausforderung dar. Konferenzen wie die Mensch & Computer stellen üblicher Weise die Dinge stärker aus der Sicht der Technikentwickler denn aus der Anwendersicht dar. In diesem Paper soll am Beispiel von zwei Streichern explizit aus der Musikersicht, deren Wertevorstellungen und Prioritäten dargestellt werden, wie mit computerbasierten Streichinstrumenten gearbeitet wurde, welche konkreten Herausforderungen anlagen und wie in diesem Fall damit umgegangen wurde. Es werden die technischen Setups, die eingesetzte Software und die künstlerischen Beweggründe für die Auswahl der Komponenten sowie deren Programmierung dargestellt. Weiterhin wird anhand eines Konzerts die Einbindung von Musik für computerbasierte Streichinstrumente dargelegt. Es wird eine Zukunftsidee vorgestellt, welche es interessierten Streicher*innen erleichtern soll, Zugang zu neuen computerbasierten Streichinstrumenten zu bekommen.
Moderne Datenanalyse mit R: Daten einlesen, aufbereiten, visualisieren und modellieren
Sauer, Sebastian (2019)
(FOM-Edition). Springer Gabler, Wiesbaden.
Open Access
Die Arbeitsweise der Forschung zu Zeiten von Digitalisierung und Reproduzierbarkeitskrise: Neue Methoden, alte Probleme
Sauer, Sebastian; Sülzenbrück, Sandra (2019)
Hermeier, B., Heupel, T., Fichtner-Rosada, S. (eds) Arbeitswelten der Zukunft. FOM-Edition. Springer Gabler, Wiesbaden, 181-200.
DOI: 10.1007/978-3-658-23397-6_11
Open Access
Psychologisches Kapital fördern durch Führung - eine quantitative Beobachtungsstudie zu den Wirkmechanismen von Servant Leadership
Sülzenbrück, Sandra; Ferreira, Yvonne; Sauer, Sebastian; Strehl, Timo (2019)
Wirtschaftpsychologie 21 (3), 60-68.
Peer Reviewed
Wie populistisch tweeten unser Politiker? – Eine Data-Mining-Studie
Sauer, Sebastian (2018)
51. Kongress der deutschen Gesellschaft für Psychologie. Frankfurt, 15.-20.09.2018.
Reproduzierbares Schreiben in der Wissenschaft am Beispiel des Buchprojekts „Moderne Datenanalyse mit R“
Sauer, Sebastian (2018)
51. Kongress der Deutschen Gesellschaft für Psychologie, Frankfurt, 18.09.2020.
Emotionalizing e-Commerce Pages: Empirical Evaluation of Design Strategies for Increasing the Affective Customer Response
Piazza, Alexander; Lutz, Corinna; Schuckay, Daniela; Zagel, Christian; Bodendorf, Freimut (2018)
Piazza, Alexander; Lutz, Corinna; Schuckay, Daniela; Zagel, Christian...
In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, Springer, Cham 787, 252-263.
DOI: 10.1007/978-3-319-94229-2_24
Peer Reviewed
The interdisciplinary research of neuromarketing shows that the conscious and rational consumer is only an illusion, whereas emotions have a significant influence on consumer behavior. Therefore, this study examines the effect of emotionalized e-com pages on visitors’ emotions as well as on their behavioral intention in hedonic situations. Three landing pages are conceptualized using diverse techniques of emotional boosting along with different procedures of triggering distinct levels of neuronal activity. The impact of these landing pages is examined in an online survey, generating a sample of 391 participants. The resulting dataset is analyzed by using structural equation modeling to test the proposed hypotheses. The results confirm that emotions can be triggered only by seeing a landing page of an e-com store and that these emotions influence the behavioral intentions. Additionally, the study shows a moderating effect of long-term involvement and mood and provides recommendations for appropriate and well-designed websites.
Real-time Prediction of User Performance based on Pupillary Assessment via Eye Tracking
Buettner, Ricardo; Sauer, Sebastian; Maier, Christian; Eckhardt, Andreas (2018)
AIS Transactions on Human-Computer Interaction 10 (1), 26-56.
DOI: 10.17705/1thci.00103
Open Access Peer Reviewed
Observation oriented modeling revised from a statistical point of view
Sauer, Sebastian (2018)
Behavior Research Methods 50 (4), 1749-1761.
Open Access Peer Reviewed
Mindful Machine Learning
Sauer, Sebastian; Buettner, Ricardo; Heidenreich, Thomas; Lemke, Jana; Berg, Christoph; Kurz, Christoph (2018)
Sauer, Sebastian; Buettner, Ricardo; Heidenreich, Thomas; Lemke, Jana; Berg, Christoph...
European Journal of Psychological Assessment 34, 6-13.
DOI: 10.1027/1015-5759/a000312
Women Entrepreneurs - Literature Review on Various Factors of Success and Failure
Sachs, Barbara; Hedderich, Barbara; Rosario Perello-Marin, Maria; Giner, Gabriela Ribes (2018)
Sachs, Barbara; Hedderich, Barbara; Rosario Perello-Marin, Maria...
Business Meets Technology. Proceedings of the 1st International Conference of the University of Applied Sciences Ansbach, Shaker Verlag, Aachen, 72 - 75.
Factors associated with first line chemotherapy use in patients with hormone receptor positive, HER2 negative metastatic breast cancer – data from the PRAEGNANT breast cancer registry
Huober, Jens; Fasching, Peter A.; Taran, Florin-Andrei; Volz, Bernhard; Overkamp, Friedrich; Kolberg, Hans-Christian; et, al; Fehm, Tanja N. (2018)
Huober, Jens; Fasching, Peter A.; Taran, Florin-Andrei; Volz, Bernhard...
Cancer Research 78 (4_Supplement), Abstract: P3-11-07.
Open Access
http://www.praegnant.org/fileadmin/PRAEGNANT/downloads/SABCS_2017_Chemoprediction_in_metastatic_breast_cancer.pdf
Fashion Product Recommendation: The Predictive Power of Consumer and Product Attributes Derived from Big Data
Piazza, Alexander (2018)
Doctoral dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg.
Dynamic network analysis of the Euro2016 final: preliminary results
Kröckel, Pavlina; Piazza, Alexander; Neuhofer, Katrin (2017)
IEEE, 114-119.
DOI: 10.1109/FiCloudW.2017.98
Peer Reviewed
Social networks have been applied in football, or football match analysis to analyze the passing distributions between teams. However, analysis has been mostly done on a manually collected data by considering the widely adopted network metrics such as betweenness and closeness centrality. In this paper, we use professional tracking event data provided by OPTA Sports and analyze the final game of the Euro2016 between Portugal and France. We use Gephi and the NetworkX Python library and apply dynamic network analysis by integrating the timestamps of the passes. We further look into traditional performance metrics from both teams and make an attempt to connect those to the network results and the outcome of the game.
A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction
Menden, Michael P.; Wang, Dennis; Guan, Yuanfang; et al, ...; Sauer, Sebastian; et al, . (2017)
Menden, Michael P.; Wang, Dennis; Guan, Yuanfang; et al, ...; Sauer, Sebastian...
bioRxiv, the Preprint Server for Biology, 200451.
DOI: 10.1101/200451
Open Access
Emotions and fashion recommendations: evaluating the predictive power of affective information for the prediction of fashion product preferences in cold-start scenarios
Piazza, Alexander; Kröckel, Pavlina; Bodendorf, Freimut (2017)
WI '17: Proceedings of the International Conference on Web Intelligence, 1234-1240.
DOI: 10.1145/3106426.3109441
Peer Reviewed
Emotions have a significant impact on the purchasing process. Due to novel affective computing approaches, affective information of users can be acquired in implicit and therefore non-intrusive manner. Recent research in the field of recommender systems indicates that the incorporation of affective user information in the prediction model has a positive impact on the recommender systems accuracy. Existing research mainly focused on product recommendations in the movie anfd music domain. Our paper investigates the impact of affective emotions on fashion products, which is one of the largest consumer industries. We integrate the users' mood and their emotion in the prediction model, and the results are compared to the baseline model using rating data only. For this, we generate a dataset with 337 participants, 64 products, and 10816 ratings. We determine the mood information using the PANAS questionnaire, and the emotion by using the SAM self-assessment method. The affective information is integrated leveraging Factorization Machines. The evaluation of the offline experiments reveals that in new item cold-start scenarios the mood information has a positive impact on the prediction accuracy, whereas the emotion information has a negative impact.
Body measure-aware fashion product recommendations: evaluating the predictive power of body scan data
Piazza, Alexander; Süßmuth, Jochen; Bodendorf, Freimut (2017)
Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems , 5-8.
Open Access Peer Reviewed
Fashion product consumer are faced with large and fast changing product o erings. e fashion purchase decision process is complex, as the consumer has to consider various in uencing factors like current fashion trends, what fashion products t to their personality, and what products t to their physical appearance like hair colors or body measures. Based on novel technologies, 3D body avatars can be reconstructed from 3D or 2D data. From these avatars, body measures can be determined. e objective of this research is to investigate the predictive performance of body measures extracted from a 3D body scanner for predicting fashion item preferences. erefore, item preferences and body scans from 200 users were collected. From the body scans, 11 body measures are extracted and integrated into a prediction model using Factorization Machines. e results from a cross-validation show, that including body measurements signi cantly improves the prediction performance of the recommendation model, especially in new user scenarios, when no information about the fashion product preferences of the active user is known.
Sciencomat: A gamified research platform for evaluating visual attractiveness
Zagel, Christian; Piazza, Alexander; Petrov, Yoan; Bodendorf, Freimut (2017)
Advances in The Human Side of Service Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, Springer, Cham 601, 50-60.
DOI: 10.1007/978-3-319-60486-2_5
Peer Reviewed
There are many platforms on the market that support researchers and practitioners to create surveys and market studies. Nevertheless, nearly all of them focus on providing answers to textual questions. In contrast to existing systems this paper presents the concept, prototype, and evaluation of a new mobile platform for quantitative research strictly focusing on images: the SciencOmat. This platform uses pictures to evaluate products, marketing content, and other elements based on their visual attractiveness. Particular emphasis was placed on a high level of usability and user experience. The system integrates methods known from popular online dating applications (e.g., liking/disliking a product by swiping left or right) and also applies gamification elements to further drive user motivation. Next to the application and its evaluation using the User Experience Questionnaire provided by Schrepp et al. we also present the results of two exemplary image data sets.
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