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.