Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study
Internet of Things (IoT) devices are smart, interconnected devices that utilize sensors, actuators, and internet connectivity to collect and exchange data. These devices enable real-time monitoring, control, and automation. Muscle performance IoT devices offer opportunities for monitoring, analyzing...
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Springer Science and Business Media Deutschland GmbH
2024
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2-s2.0-85200438383 Khusaini N.S.; Hemdi A.R.; Azidin R.M.F.R.; Ramli M.H.M.; Mohamed Z. Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study 2024 Lecture Notes in Bioengineering 10.1007/978-981-97-3741-3_47 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200438383&doi=10.1007%2f978-981-97-3741-3_47&partnerID=40&md5=ffd16d989303247bdecbd772a5f54e9d Internet of Things (IoT) devices are smart, interconnected devices that utilize sensors, actuators, and internet connectivity to collect and exchange data. These devices enable real-time monitoring, control, and automation. Muscle performance IoT devices offer opportunities for monitoring, analyzing, and improving muscle performance and physical therapy, contributing to advancements in healthcare, fitness, and rehabilitation. However, the level of acceptance of local in-lab-made IoT sports devices to monitor health and muscle performance among undergraduate students in public university is still scarce. Hence, this paper focuses on conducting a survey using a modified well-known technology acceptance model called as the “Unified Theory of Acceptance and Use of Technology” (UTAUT) to investigate the acceptance level of local in-lab-made IoT sports device. Three new independent variables are introduced in this study namely perceived risk, perceived aesthetics, and perceived comfort. A total of 36 valid responses received from the College of Engineering undergraduate students and the data is analyzed using Rasch Measurement Model (RMM). From the summary statistics, the item reliability stands at a strong value of 0.74. The person reliability yields a convincing value of 0.87, which separates the respondent into close to 3 groups. Averagely, the response shows that local in-lab-made sports device is accepted, and the new variables introduced in the modified UTAUT Model is indeed a deciding factor for users to consider. As a conclusion, all local in-lab-made sports device for muscle performance should focus on the aspect of security, affordability, aesthetic and comfort for the device to be marketable. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Springer Science and Business Media Deutschland GmbH 2195271X English Conference paper |
author |
Khusaini N.S.; Hemdi A.R.; Azidin R.M.F.R.; Ramli M.H.M.; Mohamed Z. |
spellingShingle |
Khusaini N.S.; Hemdi A.R.; Azidin R.M.F.R.; Ramli M.H.M.; Mohamed Z. Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study |
author_facet |
Khusaini N.S.; Hemdi A.R.; Azidin R.M.F.R.; Ramli M.H.M.; Mohamed Z. |
author_sort |
Khusaini N.S.; Hemdi A.R.; Azidin R.M.F.R.; Ramli M.H.M.; Mohamed Z. |
title |
Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study |
title_short |
Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study |
title_full |
Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study |
title_fullStr |
Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study |
title_full_unstemmed |
Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study |
title_sort |
Local In-Lab-Made IoT Sports Device Acceptance Survey Instrument Using a Modified UTAUT Model: A Pilot Study |
publishDate |
2024 |
container_title |
Lecture Notes in Bioengineering |
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container_issue |
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doi_str_mv |
10.1007/978-981-97-3741-3_47 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200438383&doi=10.1007%2f978-981-97-3741-3_47&partnerID=40&md5=ffd16d989303247bdecbd772a5f54e9d |
description |
Internet of Things (IoT) devices are smart, interconnected devices that utilize sensors, actuators, and internet connectivity to collect and exchange data. These devices enable real-time monitoring, control, and automation. Muscle performance IoT devices offer opportunities for monitoring, analyzing, and improving muscle performance and physical therapy, contributing to advancements in healthcare, fitness, and rehabilitation. However, the level of acceptance of local in-lab-made IoT sports devices to monitor health and muscle performance among undergraduate students in public university is still scarce. Hence, this paper focuses on conducting a survey using a modified well-known technology acceptance model called as the “Unified Theory of Acceptance and Use of Technology” (UTAUT) to investigate the acceptance level of local in-lab-made IoT sports device. Three new independent variables are introduced in this study namely perceived risk, perceived aesthetics, and perceived comfort. A total of 36 valid responses received from the College of Engineering undergraduate students and the data is analyzed using Rasch Measurement Model (RMM). From the summary statistics, the item reliability stands at a strong value of 0.74. The person reliability yields a convincing value of 0.87, which separates the respondent into close to 3 groups. Averagely, the response shows that local in-lab-made sports device is accepted, and the new variables introduced in the modified UTAUT Model is indeed a deciding factor for users to consider. As a conclusion, all local in-lab-made sports device for muscle performance should focus on the aspect of security, affordability, aesthetic and comfort for the device to be marketable. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. |
publisher |
Springer Science and Business Media Deutschland GmbH |
issn |
2195271X |
language |
English |
format |
Conference paper |
accesstype |
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record_format |
scopus |
collection |
Scopus |
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1809678474674176000 |