ANIMA App project

The ANIMA App

This is a Quality of Life survey app developed to gain a deeper understanding of the influence of the sound and visual environment on our day-to-day quality of life.

There is increased recognition of the importance of in-situ assessments thathelp researchers develop greater understanding of how people perceive their visual and acoustic environment. Inspired by soundscape studies, and in the wider context of the ANIMA European H2020 project, this Experience Sampling Method has been developed to ask people over the course of their daily lives about the quality of their acoustic and visual environment. The dedicated mobile application prompts the user to collect data a few times throughout the day (excluding overnight). After a notification, a participant is asked to record the soundscape over a minute. They then complete a few questions in relation to their sound and visual environment, and mood. The experiment lasts approximately two weeks depend­ing on the number of notifications per day the participant finds acceptable.

Within the ANIMA project we are particularly interested in people who live in a wider airport region considering taking part. Your contribution to our research will entail downloading and using the app. At random times across the day, you will be prompted to engage with the app. All data collected will be totally anonymous (no personal data is gathered) and used solely for research purposes. By statistically analysing the responses of people living in airport regions, the ANIMA research team will gain greater understanding of what sound/visual factors contribute to different levels of perceived quality of life. Based on our findings, we will be in a better position to share knowledge with policymakers to enable them to improve the quality of life in residential areas.

Currently, the number of people exposed to a certain level of aircraft noise is calculated on the basis of a person’s registered residence. It is recognised that people’s daily activities naturally involve movements away from/towards home during the day and that they are, thus, exposed to higher/lower sound levels in their environment. As researchers, we would like to have a clearer view of overall movements, and the app asks, therefore, for permission to register your rough position all the time. Data is completely anonymous – we do not know whose position is being registered – and the location data are rounded to a 100x100m grid, thereby making it even more “uncertain” where the user actually was. You can naturally refuse to be followed, but we would really appreciate if you wouldn’t do so.

It is important to underline that we know that current levels of air traffic are extremely low compared to pre-pandemic levels. Thus, this research is not designed to capture experience of air traffic that is in anyway representative of previous aircraft volumes. The study is focused, instead, on how people’s interactions, activities and movements are affected by their soundscape. We are carrying out the study to enable us to determine the app’s usability and potential applicability when aviation is well on its way to recovery. By being involved, you will be providing us with snapshots of your experience – we have no intention to extrapolate or misinterpret the results.

2 thoughts on “ANIMA App project”

  1. It has been BLISS during the Pandemic NOT to have n o i s e and pollution
    over and around us….
    We feel so much better healthwise, as do neighbours we have spoken to!!!
    Thanks to HACAN and others who try to limit the very disturbing atmosphere with planes over us , basically all the time, and make our lives
    Sooooooooo much better!

  2. Very little plane noise. Wonderful although the very late night Indian plane still goes over like a tank. Helicopters are still very noisy and later than they used to be. It has really been lovely without constant air noise. Actually worse here in Surrey than closer to heathrow. My sis in Hayes hears nothing. My daughter in Tw 10 says they are so low they block out the sun

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