This course introduces learners to the emerging field of chatbot psychology by examining the foundations of human–machine interaction. It explores how individuals perceive and respond to conversational systems, why anthropomorphism occurs, and how communication theories explain these dynamics. Key topics include cognitive biases, emotional reactions, and cultural expectations that shape user experiences. By merging insights from psychology and technology, the course reveals how chatbots can inspire trust, empathy, and even frustration, equipping students to understand the human dimension of digital communication.

Building on this foundation, the course investigates how psychological principles directly influence chatbot design and performance. It covers essential areas such as conversational flow, emotional expression, empathy-driven responses, and the creation of chatbot personalities. Learners will engage with case studies from diverse domains, including education, healthcare, and business, to analyze both effective and flawed implementations. Particular attention is given to user trust, motivation, and satisfaction as critical factors in long-term engagement. By the end, students will be able to critically assess and enhance chatbot interactions through a psychological lens.

The final section addresses broader perspectives and challenges in chatbot psychology, focusing on ethical, societal, and future-oriented considerations. Topics include emotionally intelligent systems, risks of dependency and manipulation, and the growing role of digital companions in everyday life. Real-world examples, such as therapeutic chatbots like Woebot, highlight both opportunities and limitations. Learners will reflect on the boundaries of artificial psychology while envisioning future developments in human–machine relationships. Completing this course provides not only practical knowledge but also a critical, informed outlook on the evolving psychology of chatbots.