Here, we present the computer-based, multi-agent game HoneyComb, which enables experimental investigations of collective human movement behavior via black-dot-avatars on a virtual 2D hexagonal playfield. Different experimental conditions, like variable incentives on goal fields or vision radius, can be set, and their effects on human movement behavior can be investigated.
Total time
~45 min per experimental session (including setup, testing phases, and data collection)
Steps
1
Set up experimental conditions in HoneyComb platform
Configure the computer-based multi-agent game environment with hexagonal playfield, define goal field locations, set variable incentive structures, and establish vision radius parameters for participant avatars.
▶ 01:18
2
Conduct testing and post-test experimental phases
Execute the experimental protocol with participants controlling black-dot avatars, record collective movement behavior under the configured conditions, and complete post-experiment procedures.
▶ 02:54
3
Analyze collective movement patterns with informed players
Examine representative data showing how the presence of informed players (aware of goal locations) influences uninformed participant behavior and overall group navigation dynamics.
▶ 04:31