Using LM-GM Analysis on Human: Fall Flat for Thesis (Condensed Lists)

February 5, 2020

HFF LM-GM Analysis

Thesis Project

Title: Mapping learning and game mechanics for serious games analysis
Source:

S. Arnab et al., “Mapping learning and game mechanics for serious games analysis: Mapping learning and game mechanics,” British Journal of Educational Technology, vol. 46, no. 2, pp. 391–411, Mar. 2015, doi: 10.1111/bjet.12113.

List of Game Mechanics

The following is the list of game mechanics I observed in Human: Fall Flat according to the source above (with noting for those that are major factors, and those that are only really present in multiplayer):

  • Behavioral Momentum
  • Cooperation (*multiplayer only)
  • Collaboration (*multiplayer only)
  • Cascading Information (*multiplayer only)
  • Resource Management (Major factor)
  • Strategy/Planning (Major factor)
  • Infinite Gameplay (offered by game somewhat, but major focus of developed system)
  • Levels (Major factor)
  • Pavlovian Interactions
  • Feedback (major factor)
  • Movement
  • Design/Editing
  • Simulate/Response (Major factor)
  • Realism
  • Tutorial
  • Urgent Optimism

List of Learning Mechanics

The following is the list of learning mechanics I observed in Human: Fall Flat according to the source above (with noting for those that are major factors, and those that are only really present in multiplayer):

  • Instructional
  • Guidance
  • Action/Task (Major factor)
  • Observation (Major factor)
  • Feedback (Major factor)
  • Identify (Major factor)
  • Explore
  • Discover
  • Plan (Major factor)
  • Objectify (Major factor)
  • Experimentation (Major factor)
  • Hypothesis (Major factor)
  • Repetition (Major factor; system focus)
  • Analyze
  • Simulation (Major factor)
  • Ownership
  • Motivation (Major factor)
  • Incentive

Summary

These are just the condensed lists of mechanics I observed within HFF by applying those found in the source above. I will put up a post with my more in-depth analysis of how I believe each of these apply in HFF to support why I chose them.

I created this list to better understand what HFF provides as a possible learning tool. This also helped link the game mechanics with the learning mechanics to get a better idea of which parts of the game to focus on generating with our system to enhance the learning opportunities.

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