Publication | Closed Access
Analysis of Recycling Capabilities of Individuals and Crowds to Encourage and Educate People to Separate Their Garbage Playfully
45
Citations
19
References
2015
Year
Unknown Venue
Crowd SimulationEngineeringEducationWaste DisposalCommunicationPeople Separate WasteComputational Social ScienceHuman ComputationGame DesignOnline StudyBehavioral SciencesCrowd BehaviorWaste ReductionCommunity EngagementUser ExperienceCrowdsourcingZero WasteRecycling TechnologyWaste ManagementEducate PeopleCrowd ComputingWaste PreventionSocial BehaviorSocial ComputingRecyclingHuman-computer InteractionTheir Garbage PlayfullyEmpirical Evidence
Sorting garbage is a relevant topic in many countries as it contributes to environmental protection. Empirical evidence suggests that not all people separate waste, potentially because they do not know how to do it correctly or are simply not motivated enough. We present the results of an online study (N=184) investigating people's capabilities for classifying waste, their capabilities to improve in this task over time and their current garbage separation behavior. The study confirms that the Wisdom of Crowds is applicable in this context as the crowd produces only half as many errors as the individual and feedback helps participants to improve. Based on this, we introduce the idea of a crowd classifying waste in a game, with their classification result then being used as feedback on gamified public trash cans to educate both the crowd playing the game and people using the trash can playfully.
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