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Software integration is an engineering task where image-based approaches are still considered slow and error-prone. In this thesis, we apply image-based software integration to the domain of online Poker systems. That is, we implement the poker expert system PokerBot which can play online. We use the method of screen scraping to capture the screen information needed to interact with the Poker server. The consequent use of Template Matching leads to an efficient implementation. Substantial e ort was also addressed to the artificial intelligence aspects of PokerBot. The purpose of AI is here to mimic human playing style by translating a well-documented Pokerguide into formalized, executable language.
The aim of this thesis was to develop and to evaluate a method, which enables the utilization of traditional dialog marketing tools through the web. For this purpose, a prototype of a website with "extended real-time interaction (eEI)" capabilities has been implemented and tested. The prototype was evaluated by a methodology based on the five-dimensional "e-service quality" measure after Gwo-Guang Lee und Hsiu-Fen Lin. The Foundation of the "e-service quality" measure is the SERVQUAL-Model. A statistical analysis of the user study results showed a significant correlation between eEI and user satisfaction. Before the actual realization of eEI, the "Technology Acceptance Model" after Fred D. Davis was used to investigate currently used real-time interaction systems.
