AirCalypse: Revealing Fine-Grained Air Quality from Social Media

Pramanik, Prithviraj; Nandi, S.; Saha, Mousumi

doi:10.1109/icdmw.2018.00221

Cited by 5 publications

(6 citation statements)

References 2 publications

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“…Table 1 summarizes some of these works. PM2.5 ✓ Plantower PMS5003 Worldwide Array of Things [10] N𝑂 2 , 𝑂 3 , Temp, Humidity ✓ AlphaSense Chicago Lj Chen [12] PM2.5 ✓ PlanTower Taiwan Koala Sensing [34] PM2.5, CO ✓ Plantower PMS1003 Multi-Site Image Based Participatory Sensing [33] PM2.5 ✗ N/A Beijing Social Media Based Sensing [39,40] PM2.5…”

Section: Cost Effective Ubiquitous Air Quality Sensingmentioning

confidence: 99%

“…While the works discussed above are all related to primary sensing of the pollutants, other works indirectly measure air quality through various modalities like sound, social media, images, and other spatio-temporal factors [18,33,39,40,43]. In [18], the authors have shown that acoustic signatures correlate well with the air quality.…”

Section: Cost Effective Ubiquitous Air Quality Sensingmentioning

confidence: 99%

“…While this method is useful, the major disadvantage is extending it to places with not enough images labeled as the ground truth. Similarly, using social media posts, Pramanik et al have used various signals like influential users, public sentiment, and tweet volume to measure the level of air pollution in New Delhi, India [39,40]. However, with only 3-5 % of tweets geotagged, effective mechanisms are required to locate the source of pollutants.…”

Section: Cost Effective Ubiquitous Air Quality Sensingmentioning

confidence: 99%

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AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer

Pramanik¹,

Karmakar²,

Kumar³

et al. 2022

Preprint

Self Cite

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Efficient air quality sensing serves as one of the essential services provided in any recent smart city. Mostly facilitated by sparsely deployed Air Quality Monitoring Stations (AQMSs) that are difficult to install and maintain, the overall spatial variation heavily impacts air quality monitoring for locations far enough from these pre-deployed public infrastructures. To mitigate this, we in this paper propose a framework named AQuaMoHo that can annotate data obtained from a low-cost thermo-hygrometer (as the sole physical sensing device) with the AQI labels, with the help of additional publicly crawled Spatio-temporal information of that locality. At its core, AQuaMoHo exploits the temporal patterns from a set of readily available spatial features using an LSTM-based model and further enhances the overall quality of the annotation using temporal attention. From a thorough study of two different cities, we observe that AQuaMoHo can significantly help annotate the air quality data on a personal scale.CCS Concepts: • Human-centered computing → Human computer interaction (HCI); • Information systems → Location based services.

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Section: Cost Effective Ubiquitous Air Quality Sensingmentioning

confidence: 99%

Section: Cost Effective Ubiquitous Air Quality Sensingmentioning

confidence: 99%

Section: Cost Effective Ubiquitous Air Quality Sensingmentioning

confidence: 99%

See 1 more Smart Citation

AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer

Pramanik¹,

Karmakar²,

Kumar³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

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“…The second research area focuses on understanding peoples' experiences of air quality. For instance, leveraging social media websites such as Twitter to collect air quality information [2,22,93]. The use of chatbots integrated with IoT to provide easy access to air quality information along with features such as alarm services and geo-queries [66].…”

Section: Air Quality and Technology Designmentioning

confidence: 99%

“…Also, data related to lifespan projections could be displayed for instance how much one's lifespan could potentially increase [50] or decrease depending upon the surrounding air quality. Other approaches to coupling experiences could be through sounds and olfactory indicators, for instance, communicating air quality measurements through acoustic depiction of varying audio features based on changing air quality [22,93].…”

Section: Information Couplingmentioning

confidence: 99%

The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital Information

Gupta

Eden

2022

Designing Interactive Systems Conference

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The Air Quality Index (AQI) is a set of numerical, color-coded metrics used to communicate air pollution levels. AQI data is available through a variety of mediums such as mobile apps, websites and public displays. However, the information communicated through these may not be easily interpretable to everyone. Especially when scientifc data and associated representations are used to convey information to communities whose shared knowledge and practices are signifcantly diferent from Western scientifc contexts. We discuss fndings from a qualitative study conducted in Delhi, India to understand how residents across both low-and high-resourced communities, assess their personal risk around air pollution and the safety measures they take to mitigate that risk. We reveal incompatibilities between the air-quality information displayed in digital platforms and whether that information is interpretable for people with diferent cultural sensitivities. We conclude with design implications for improving the interpretability and relevance of air quality interfaces. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI; Field studies.

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AirCalypse: Can Twitter Help in Urban Air Quality Measurement and Who are the Influential Users?

Pramanik

Mondal

Nandi

et al. 2020

Companion Proceedings of the Web Conference 2020

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AirCalypse: Revealing Fine-Grained Air Quality from Social Media

Cited by 5 publications

References 2 publications

AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer

AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer

The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital Information

AirCalypse: Can Twitter Help in Urban Air Quality Measurement and Who are the Influential Users?

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