Awareness and learning in participatory noise sensing

Area of Science:

• Environmental Science
• Human-Computer Interaction
• Social Science

Background:

• Information and Communication Technology (ICT) infrastructure enables new societal and environmental monitoring approaches.
• Participatory environmental sensing involves citizens directly in data collection, fostering environmental awareness and learning.
• Noise pollution is a significant environmental issue impacting public health and well-being.

Purpose of the Study:

• To analyze citizen behavior and learning during participatory noise sensing.
• To investigate the impact of using the WideNoise smartphone application on user awareness and perception of environmental noise.
• To explore the relationship between objective noise measurements and subjective user experiences.

Main Methods:

• Analysis of user behavior data collected through the WideNoise smartphone application.
• Collection of both objective (noise samples) and subjective (opinions, feelings) data from users worldwide.
• Case studies conducted in European countries to gather diverse user experiences.
• Quantitative and qualitative analysis of collected data to identify patterns in awareness and learning.

Main Results:

• Repeated use of the WideNoise application leads to changes in users' environmental perception.
• Users demonstrate an improved ability to recognize and differentiate various noise levels.
• Subjective data indicate increased user engagement over time and a tendency to categorize environments as pleasant or unpleasant.

Conclusions:

• Participatory sensing, exemplified by the WideNoise app, effectively enhances environmental awareness and learning among citizens.
• The integration of objective and subjective data provides valuable insights into human-environment interactions.
• Citizen engagement in environmental monitoring can lead to a more informed and responsive approach to environmental issues.