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Research Area · Mobile Storytelling

Human-AI Mobile
Storytelling

An interdisciplinary field at the intersection of narrative theory, artificial intelligence, mobile communication, and human-centred design — developed through three graduate-level course volumes.

12
Course Units
4
IBC Pillars
3
Credit Hours
Graduate
Level
Pedagogical Framework

Innovation-Based Coaching (IBC)

Four interconnected methodological pillars that guide every aspect of learning, analysis, and design across all three HAMS volumes. Click any pillar to explore.

Course Explorer

Principles & Practices

An advanced graduate seminar at the intersection of narrative theory, artificial intelligence, mobile communication, and human-centered design.

Open Learning Platform
Research Domains

Eight Storytelling Domains

Mobile storytelling research spans eight interconnected domains — from village narratives to AI governance — each explored through the IBC framework.

Village Storytelling

Mobile narratives for rural rejuvenation — documenting heritage, empowering communities, and amplifying local voices through AI-assisted storytelling.

City Storytelling

Urban branding through mobile narratives — capturing the pulse of cities, shaping metropolitan identity, and engaging citizens in co-created urban stories.

Nation Storytelling

Mobile narratives for national image-building — projecting soft power, bridging cultural divides, and constructing global identity through strategic storytelling.

AI-Mediated Narrative

Analytical, generative, and agentic AI systems transforming the creation, distribution, personalisation, and experience of stories on mobile platforms.

Therapeutic Storytelling

Mobile narratives for well-being — examining how AI-mediated stories support mental health, emotional processing, and therapeutic outcomes.

Educational Storytelling

Learning through narrative — designing AI-assisted mobile stories that deepen comprehension, foster engagement, and support diverse learning styles.

Ethical Storytelling

Responsible innovation in human-AI narrative — addressing bias, transparency, intellectual property, misinformation, and governance in AI storytelling systems.

Transmedia Storytelling

Cross-platform narrative design — creating human-AI stories that span mobile, web, audio, and immersive environments for coherent multi-channel experiences.

What You Will Master

Learning Outcomes

Across all three HAMS volumes, students develop a comprehensive understanding of human-AI mobile storytelling — from theoretical foundations and technical skills to ethical governance and professional practice.

1

Examine psychological, social, cultural, and communicative aspects of human experience through AI-mediated mobile storytelling

2

Use cognitive and psychological theories to analyse and design human-AI narrative experiences

3

Critically assess trust, transparency, and ethical aspects of human-AI storytelling relationships

4

Create culturally responsive and inclusive human-AI mobile storytelling experiences

5

Assess educational, therapeutic, and well-being uses and impacts of human-AI mobile storytelling

6

Examine privacy, surveillance, commercial, and regulatory aspects of human-AI mobile storytelling platforms

7

Use empirical research methods to study human experiences with AI mobile storytelling

8

Develop evidence-based design guidelines and policy proposals for responsible development

Begin Your Storytelling Journey

Explore the three HAMS volumes, engage with the IBC framework, and join the global community of human-AI mobile storytelling innovators.