• Probability and Statistics
• Media Statistics
• Theories in Mediated Communication
• Social Networks in Mediated Communication
• Special Topics in Mediated Communication

Theories related to Game, CMC, AI mediated communication

1. Psychology
   • Cognitive Psychology: Understand human attention, memory, and perception. This is vital for designing clear User Interfaces (UI/UX), managing cognitive load, and pacing tutorials so players learn naturally.
   • Behavioral Psychology: Learn about conditioning, reward systems, and intrinsic vs. extrinsic motivation. This forms the backbone of player retention, progression loops, and gamification mechanics.
2. Sociology & Anthropology
   • Sociology of Groups & Communities: Study group dynamics, social hierarchies, and subcultures. This is foundational for building healthy online communities, designing multiplayer matchmaking, and fostering cooperative or competitive gameplay.
   • Media Studies & Pop Culture: Explore how society consumes media and the cultural impact of games. This helps you craft culturally resonant stories, relatable character arcs, and relevant themes.
3. Economics
   • Behavioral Economics: Discover how people make decisions under uncertainty or scarcity. This helps you balance in-game economies, resource grinding, and virtual marketplaces without ruining the player experience.
   • Game Theory: Not strictly video game design, but the mathematical study of strategic decision-making (how actors behave when they know others are trying to win). It is incredibly useful for designing AI behaviors, PvP balance, and multiplayer meta-strategies.
4. Communication & Anthropology
   • Intercultural Communication: Learn how cultures interpret symbols, narratives, and interactions differently. This is critical for internationalizing/localizing games and avoiding cultural missteps.
   • Ethnography & User Research: Teaches you qualitative research methods to conduct effective player playtests, gather reliable feedback, and observe how people naturally interact with your software.

Social network studies in mediated communication examine how digital platforms and computer-mediated communication (CMC) technologies shape human interaction, relationship building, and social influence. These studies explore the intersection between the technical features of communication tools (e.g., text, video, algorithmic sorting) and the psychological or social behaviors of users.

Key areas of focus include:

1. Social Network Analysis (SNA):
   • Focuses on the structure of online communities. Researchers map how information, support, and influence flow through networks by analyzing nodes (individuals) and ties (relationships) across platforms.
   • Clustering and Grouping Analysis based on Relational Data (in Events or Media Uses) .
2. Collective and Group Behavior:
3. Diffusion of Technology and Innovation
4. Social Dynamics and Polarization: Investigates phenomena such as echo chambers, online disinhibition, and how algorithmic curation alters public discourse and group polarization.

• Studies of media interface and experiences that AI and/or robot provide.
• Human and Media (AI) communication
• AI/game User studies
• Theories in game design
• Studies of content creation
• Demise of mass media