M5Stack 手のひらサイズのIoT端末

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This document discusses measuring ambient CO2 levels and other environmental data over multiple years from 2017 to 2020 using various sensors. Sensors mentioned include the MH-Z19B to measure CO2 and the BME280 to measure additional ambient data. Measurements were taken continuously and ambient conditions were monitored over an extended period of time.

Technology

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

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