The Design of an Environmental-Noise-Labeling App for Citizen Participation in Smart Cities †
Abstract
:1. Introduction
2. State of the Art
2.1. Gamification
- Mechanics: describing the game components, rules and concepts that specify the system.
- Dynamics: describing the behavior of the game’s run-time mechanics, which acts on the inputs of the players and the outputs of others over time.
- Aesthetics: describing the desirable emotional responses in the player when interacting with the game system, caused by the dynamics.
2.2. Citizen Science
- Zaragoza Noise-Pollution Map Project [11]: a mobile application to document neighborhood noise. It allows the noise source to be labeled, together with its measurement. Citizens collect data to create an urban map of noise sources harmful to health and to provide the necessary information for administrations’ decision-making.
- Noise App [12]: a mobile application to record and report noise in the user’s area. This has the option of recording noise with the phone itself, in order to report it to a central office registered in the system. In addition, a personal recordings diary can be created in which any noise can be stored and labeled for later use.
2.3. Labeling Sounds
- Check the trend changes in the spectrum. For this, different techniques can be used, such as looking for its maxima and analyzing its surroundings. Alternatively, consider a threshold level and look for changes that are above this value.
- Check for level trends in specific noise spectrum bands.
- Analyze at frequencies that are typically found to be abnormal.
3. Requirements and Design
3.1. Mechanics
- Not entered: 0 points
- Entered more than four times: 4 points
3.2. Dynamics
3.3. Aesthetics
4. Related Work
- MajorMiner [13]: a web application for tagging entire audio files. The process consists of playing offline “against” a database, so that the user tags an audio file and obtains a score according to the number of people who have previously tagged the same audio file in the same way. After each game or audio recording, the application shows a summary of the tags entered by the player, those entered by other people, the score obtained in that round and the total number of points.
- TagATune [14]: an application to tag entire audio recordings in a limited time. This is a game to be played in pairs, or with a bot if no one is online at the same time. The user must describe the sound according to the category indicated, during the set time. Once the round is over, either because the set time has elapsed or because both players have decided to finish the round, the points are obtained according to the matches between the partners. Based on the descriptions received by users, the tag is considered official when a minimum number of people have obtained matched results, which depends on the total number of participants.
- The Listen Game [15]: an application to tag entire audio recordings, playing simultaneously against multiple players. The process begins with all players listening to the audio recording, selecting from the labels shown on the screen whether they are “good” or “bad” sounds and obtaining feedback on their selection compared with the other players, adding points according to the coincidences between them. Firstly, seven rounds are played, followed by a freestyle round where the player enters the word that best matches the sound heard. In the next round, this word appears as an option among those chosen by the system. Finally, every eight rounds a score summary and various statistics are shown.
5. Conclusions and Future Work
Supplementary Materials
Author Contributions
Conflicts of Interest
References
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Level | Never Entered | Entered More Than 4 Times |
---|---|---|
Low | 0 point | 4 points |
Medium | 0 point | 8 points |
High | 0 point | 12 points |
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Garcia, P.; Duboc, L.; Alsina-Pagès, R.M. The Design of an Environmental-Noise-Labeling App for Citizen Participation in Smart Cities. Eng. Proc. 2021, 10, 80. https://doi.org/10.3390/ecsa-8-11273
Garcia P, Duboc L, Alsina-Pagès RM. The Design of an Environmental-Noise-Labeling App for Citizen Participation in Smart Cities. Engineering Proceedings. 2021; 10(1):80. https://doi.org/10.3390/ecsa-8-11273
Chicago/Turabian StyleGarcia, Paula, Leticia Duboc, and Rosa Ma Alsina-Pagès. 2021. "The Design of an Environmental-Noise-Labeling App for Citizen Participation in Smart Cities" Engineering Proceedings 10, no. 1: 80. https://doi.org/10.3390/ecsa-8-11273