@phdthesis{Vo, type = {Bachelor Thesis}, author = {Stephanie Vo}, title = {Designing for Confidence A concept for elevating the user’s confidence during a statistical study with artificial intelligence}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:900-opus4-65881}, pages = {80}, abstract = {The capabilities of Artificial Intelligence (AI) are utilized increasingly in today‘s world. The autonomous and adaptive characteristics allow applications to be more effective and efficient. A certain subfield of Artificial Intelligence, Machine Learning, is enabling services to be tailored to a user‘s specific needs. This could prove to be useful in an information-heavy field such as Statistics. As design research from SPSS Statistics, a legacy statistical application, has indicated, statistics beginners struggle to tackle the challenge of preparing a statistical research study. They turn to several sources of information in an attempt to find help and answers but are not always successful. This leads to them being unconfident before they have even started to execute the statistical study. The adaptive features of Artificial Intelligence could help support students in this case, if designed according to established principles. This thesis investigated the question whether an AI-powered solution could elevate the users‘ confidence in statistical research studies. In order to find the answer, a prototype with exemplary User Experience was designed and implemented. Preceding research determined the domain and market offer. User research was conducted to ensure a human-centered outcome. The prototype was evaluated with real test users and the results answered the question in the affirmative.}, language = {en} }