Abstract
This master’s thesis examines how the user experience and search strategies of anAI chatbot and stores can be improved. In addition, various components in the
user interface are analyzed. These are examined with regard to their usefulness
in exploratory and targeted searches. As part of the study, various optimizations
for interaction in the chatbot and online store were identified. The study shows
that sample questions, interactive conversation and the provision of a dedicated
exploratory area support the search in chatbots. Additionally, functions such as
threads and personalization settings enhance the user experience of chatbots. The
study also shows that the integration of an AI chatbot in online stores opens up
a new way of shopping. The integrated chatbot significantly supports targeted
searches in stores. The integrated chat shows potential for improvement in exploratory searches, as it was perceived as a supplementary tool. These results
offer valuable insights into the further development of search systems in AI chatbots and online stores, which serve to improve user-friendliness.
| Date of Award | 2024 |
|---|---|
| Original language | German (Austria) |
| Supervisor | Mandy Keck (Supervisor) |