Evaluating Usability and Impact of IoT-Driven Sensor-Based Home Diagnostics

This study presents a novel evaluation of the Part-Integrated Bedside Diagnostic Unit (PIBDU), designed for home healthcare use, emphasizing its dual focus on usability and effectiveness. The research addresses a critical gap in current healthcare technology by integrating both functional performance and user experience assessments. The findings demonstrate that the PIBDU is highly user-friendly, with 85% of participants finding it easy to use and 90% rating it as accessible. The study's innovation lies in its comprehensive methodology, which combines quantitative and qualitative data to provide a holistic evaluation of the device. This approach not only validates the PIBDU's reliability but also highlights the importance of user familiarity with technology, suggesting that enhanced training can further improve outcomes. These results underscore the device's potential to significantly impact home healthcare, offering valuable insights for future technological developments in this field.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836463
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
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article

Evaluating Usability and Impact of IoT-Driven Sensor-Based Home Diagnostics

Joyjit Patra, S. Das, Subir Gupta, Asoke Kumar Bhunia et al.
Context-Aware Activity Recognition Systems
article

Evaluating Usability and Impact of IoT-Driven Sensor-Based Home Diagnostics

Joyjit Patra, S. Das, Subir Gupta, Asoke Kumar Bhunia, Jayashri Deb Sinha, Saikat Gochhait
article en

Abstract

This study presents a novel evaluation of the Part-Integrated Bedside Diagnostic Unit (PIBDU), designed for home healthcare use, emphasizing its dual focus on usability and effectiveness. The research addresses a critical gap in current healthcare technology by integrating both functional performance and user experience assessments. The findings demonstrate that the PIBDU is highly user-friendly, with 85% of participants finding it easy to use and 90% rating it as accessible. The study's innovation lies in its comprehensive methodology, which combines quantitative and qualitative data to provide a holistic evaluation of the device. This approach not only validates the PIBDU's reliability but also highlights the importance of user familiarity with technology, suggesting that enhanced training can further improve outcomes. These results underscore the device's potential to significantly impact home healthcare, offering valuable insights for future technological developments in this field.

Haldia Institute of Technology (IN), Symbiosis International University (IN)
Openalex Percentile: Top 74%
Context-Aware Activity Recognition Systems
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Evaluating Usability and Impact of IoT-Driven Sensor-Based Home Diagnostics — Joyjit Patra, S. Das, et al. · (2024) | TGRS Research Map | TGRS