Characterising volunteers' task execution patterns across projects on multi-project citizen science platforms

摘要: Citizen science projects engage people in activities that are part of a scientific research effort. On multi-project citizen platforms, scientists can create consisting tasks. Volunteers, turn, participate executing the project's Such type platforms seeks to connect volunteers and scientists' projects, adding value both. However, little is known about volunteer's cross-project engagement patterns benefits such for volunteers. This work proposes Goal, Question, Metric (GQM) approach analyse volunteers' task execution employs Semiotic Inspection Method (SIM) communicability platform's features. In doing so, it investigates what features foster engagement, extent facilitate attraction perform tasks new participation increases on platforms. Results from analyses real show tend explore multiple but they regularly just few them; attract much attention volunteers; recruited other platform get more engaged than those outside platform. System inspection shows still lack personalised explainable recommendations