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Students work with AI platforms as true intellectual partners throughout the course — using them to simulate user perspectives, analyze audience data, stress-test research designs, and develop design recommendations.
Students bring curiosity to every encounter with human experience data; critical thinking to every evaluation of research evidence; and creativity to every design recommendation and policy proposal.
Students use the 3D framework to analyze human experience data, research literature, industry practices, and regulatory environments — identifying patterns, dissecting mechanisms, and uncovering original insights.
Students apply the 3M framework to design audience research studies, evaluate platform governance systems, and develop policy and design recommendations — mapping stakeholder ecosystems and designing monitoring architectures.
15 Seminar Units
From user expectations and psychological relationships to governance, policy, and professional synthesis — each unit builds toward a comprehensive understanding of human-AI mobile storytelling.
User Expectations and Perceptions of AI Storytelling
The Psychology of Human-AI Narrative Relationships
Emotional Engagement, Immersion, and Attachment
Cognitive Processing and Narrative Comprehension
Trust, Transparency, and the Black Box Problem
Social and Collaborative Experiences
Cultural and Cross-Cultural Dimensions of Mobile Storytelling
Educational Applications and Learning Experiences
Therapeutic and Well-Being Applications
Privacy, Surveillance, and Data Ethics
Misinformation, Manipulation, and Narrative Integrity
Policy, Regulation, and Platform Governance
Creativity, Authorship, and Intellectual Property
Futures, Emerging Technologies, and Anticipatory Governance
Synthesis, Integration, and Professional Practice
The human audience and user — how people perceive, process, trust, feel, learn from, and are impacted by AI-mediated narrative experiences.
What You Will Master
Examine the psychological, social, cultural, and communicative aspects of human experience through AI-mediated mobile storytelling.
Use cognitive and psychological theories to analyze and design human-AI narrative experiences.
Critically assess the trust, transparency, and ethical aspects of human-AI storytelling relationships.
Create culturally responsive and inclusive human-AI mobile storytelling experiences.
Assess the educational, therapeutic, and well-being uses and impacts of human-AI mobile storytelling.
Examine the privacy, surveillance, commercial, and regulatory aspects of human-AI mobile storytelling platforms.
Use empirical research methods to study human experiences with AI mobile storytelling.
Conduct industry and market analyses of the human-AI mobile storytelling sector.
Develop evidence-based design guidelines and policy proposals for the responsible development of human-AI mobile storytelling.
Synthesize course knowledge into a comprehensive final research and recommendation project.
Xiaoge Xu
Xiaoge Xu (Ph.D., Nanyang Technological University, Singapore) is a professor of branding studies at the Sino-German Faculty of Branding, Zhejiang Wanli University, in Ningbo, China. He is the founder of Mobile Studies International, Mobile Studies Congress, and CICI Global. His main research interests include mobile media, mobility, and communication, as well as human-AI co-intelligence and co-innovation in communication. He serves as the series editor for the IGI Global AWTT book series and is the founder of Ningbo Xiaoge Culture and Creativity Co., Ltd. Born and raised in China, he has earned four degrees from three countries (China, the US, and Singapore) and has worked at seven international universities across four countries (China, Singapore, Malaysia, and Botswana).