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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Integrating Environmental Sensors and Real-Time Feedback for Enhanced Study Productivity

Authors: Gottimukkala, Shanmuka;

Integrating Environmental Sensors and Real-Time Feedback for Enhanced Study Productivity

Abstract

High school students often experience reduced productivity during study sessions due to environmental distractions (noise, poor lighting, temperature) and unmanaged emotional states. Commercial affective computing systems are typically expensive and inaccessible. This study develops and evaluates a low-cost Raspberry Pi-based IoT desk assistant that monitors ambient conditions and delivers real-time visual feedback to enhance emotional awareness and focus.

Keywords

IoT, student productivity, network, Raspberry Pi, Computer hardware, psychology, affective computing, programming, science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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