@incollection{DrechslerKatz, author = {Drechsler, Dirk and Katz, Pia}, title = {Data Analytics zur Anomalie-Detektion im Finanzsektor}, series = {Social Media Marketing und Data Analytics. Aktuelle Entwicklungen und Herausforderungen}, publisher = {Rainer Hampp Verlag}, address = {M{\"u}nchen und Augsburg}, isbn = {978-3-95710-228-7}, pages = {282 -- 299}, language = {de} } @incollection{MuellerKornMiclauetal., author = {M{\"u}ller, Andrea and Korn, Oliver and Miclau, Christina and Anke, Selina and Herrmann, Sabrina and Katz, Pia and Leuchtweis, Christina and W{\"o}rner, Sandra}, title = {Measuring the Influence of User Experience on Banking Customers' Trust}, series = {HCI in Business, Government, and Organizations. HCIBGO 2018. Lecture Notes in Computer Science}, volume = {10923}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-91715-3}, doi = {10.1007/978-3-319-91716-0_30}, pages = {382 -- 395}, abstract = {Bank and trust - two words but one meaning in customers' minds. When interacting with financial service providers, customers are consistently looking for "trust signals" that comfort their decisions and "distrust signals" which create doubt. Therefore, service providers need a deep understanding of the customers' requirements and wishes. To identify trust and distrust signals, we combine established user experience research methods with a new testing procedure to gain helpful recommendations for optimizing the online appearance of banks. The contribution is divided into three parts: Firstly, we investigate current approaches in the financial service industry. Secondly, we provide a corpus describing the relationship between the customers' perception of a bank's website and trust. Thirdly, an empirical study based on qualitative user experience testing with banking website customers shows the value gained by optimizing the banks' virtual interface by enhancing "trust signals" and avoiding "distrust signals".}, language = {en} }