An increasing number of chatbot mobile applications have been developed based on psychological counseling theories. However, accumulating sufficient user knowledge remains essential for providing practitioners with concrete application principles and guidance. Understanding more local user experiences is also crucial for achieving comprehensive integration with psychological counseling in the future. Taking into account factors such as empirical research support, privacy and security, anonymity, cost-free access, and accessibility, this study explored psychologists' experiences with the Wysa chatbot and compared the effects of its use across psychologists with different theoretical orientations. This study recruited 40 psychologists as research participants, comprising 20 with a cognitive behavioral theoretical orientation and 20 with a non-cognitive behavioral theoretical orientation. In terms of research design, the quantitative component adopted an experimental method, with the use of Wysa eight times as the intervention. Pre- and post-tests were conducted using four scales—anxiety, depression, working alliance, and technology acceptance—to collect quantitative data, which were analyzed using t-tests and analysis of covariance. The qualitative data collected included interview transcripts and screenshots of the Wysa usage process, and were analyzed using thematic analysis. The research findings revealed that, regardless of whether the psychologists were oriented toward cognitive behavioral therapy, using Wysa significantly reduced anxiety and depression. Moreover, in the technology acceptance scale, significant differences were obsreved between cognitive behavioral therapy-oriented and non-cognitive behavioral therapy-oriented psychologists in both working alliance and technology acceptance. These findings offer a reference for future practice, AI-related curricula in professional training, and related research.