Crowdsourcing & Human-in-the-Loop

Quality-aware human-in-the-loop systems for data collection, processing, and analysis in data-intensive applications.

Large-scale data management cannot rely on machines alone. Human judgment is essential for handling ambiguity, ensuring quality, and interpreting domain-specific context. My research develops human-in-the-loop frameworks that integrate crowd contributions intelligently at each stage of the data pipeline.

Data collection and quality

I have developed models and tools for evaluating and improving data quality in crowdsourced settings, including crowd-based annotation tasks and quality metrics that account for worker expertise and bias (Bozzon et al., 2013) (Bozzon et al., 2015).

Crowdsourcing platforms and patterns

Early work at Politecnico di Milano produced pattern-based specifications for crowdsourcing applications (Bozzon et al., 2014), community-based crowdsourcing models (Brambilla et al., 2014), and adaptive platform designs (Brambilla et al., 2015).

Applications

Human-in-the-loop methods have been applied across several domains:

References

2021

  1. CHItaly
    Complementing Studies on Vulnerable Youths with Reddit Data
    Andrea Mauri, Achilleas Psyllidis, Alessandro Bozzon, and 4 more authors
    In 14th Biannual Conference of the Italian SIGCHI Chapter (CHItaly), 2021
  2. IIR
    Towards a Human in the Loop Approach to Preserve Privacy in Images
    Andrea Mauri and Alessandro Bozzon
    In 11th Italian Information Retrieval Workshop (IIR), 2021

2020

  1. ISMIR
    Microtask Crowdsourcing for Music Score Transcriptions: an Experiment with Error Detection
    Ioannis Petros Samiotis, Sihang Qiu, Andrea Mauri, and 3 more authors
    In International Society for Music Information Retrieval Conference (ISMIR), 2020

2019

  1. Energies
    Automatic Processing of User-Generated Content for the Description of Energy-Consuming Activities at Individual and Group Level
    Roos Kok, Andrea Mauri, and Alessandro Bozzon
    Energies, 2019

2018

  1. WWW
    Social Smart Meter: Identifying Energy Consumption Behavior in User-generated Content
    In Companion Proceedings of The Web Conference (WWW), 2018

2015

  1. JWE
    Designing Complex Crowdsourcing Applications Covering Multiple Platforms and Tasks
    Journal of Web Engineering, 2015
  2. IEEE IC
    Adaptive and Interoperable Crowdsourcing
    Marco Brambilla, Stefano Ceri, Andrea Mauri, and 1 more author
    IEEE Internet Computing, 2015

2014

  1. ICWE
    Pattern-based Specification of Crowdsourcing Applications
    In International Conference on Web Engineering (ICWE), 2014
  2. WWW
    Community-based Crowdsourcing
    Marco Brambilla, Stefano Ceri, Andrea Mauri, and 1 more author
    In Proceedings of the 23rd International Conference on World Wide Web Companion (WWW), 2014

2013

  1. WWW
    Reactive crowdsourcing
    In Proceedings of the 22nd International Conference on World Wide Web (WWW), 2013