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Competitive gamification in crowdsourcing-based contextual-aware recommender systems.

Yi-Ling Lin1, Nai-Da Ding1

  • 1Department of Management Information Systems, National Chengchi University, No. 64, Sec. 2, ZhiNan Rd., Wenshan District, Taipei City 11605, Taiwan.

International Journal of Human-Computer Studies
|June 7, 2023
PubMed
Summary
This summary is machine-generated.

Crowdsourcing-based context-aware recommender systems (CARS) effectively support restaurant decisions during epidemics. Mixed gamification boosts engagement, while self-competition encourages task variety in these systems.

Keywords:
ContactlessContext-aware recommender systemCrowdsourcingGamificationReal-time context

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Area of Science:

  • Human-Computer Interaction
  • Information Systems
  • Epidemiology

Background:

  • Crowdsourcing-based context-aware recommender systems (CARS) are vital for contactless decision-making during pandemics like COVID-19.
  • Understanding the impact of gamification on user engagement in crowdsourcing for real-time data collection is crucial.

Purpose of the Study:

  • To investigate the effectiveness of crowdsourcing-based CARS in supporting user decisions during epidemics.
  • To analyze how different game designs influence user participation in crowdsourcing tasks for restaurant recommendations.

Main Methods:

  • Development of a crowdsourcing-based CARS for restaurant recommendations during COVID-19.
  • A two-week field study with 68 users across four conditions: control, self-competitive, social-competitive, and mixed gamification.
  • System provided real-time recommendations based on restaurant epidemic status.

Main Results:

  • Crowdsourcing is feasible for collecting real-time information for recommendations during epidemics.
  • Mixed competitive gamification increased engagement for both high- and low-performance users.
  • Self-competitive game design motivated users to undertake a broader range of tasks.

Conclusions:

  • Crowdsourcing-based CARS are viable for providing timely, context-aware recommendations during health crises.
  • Gamification strategies, particularly mixed competition and self-competition, can significantly enhance user engagement and task diversity in crowdsourcing systems.