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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Perception of Wearable Intelligent Devices: A Case of Fitbit-Alta-HR
verfasst von : Khurram Shahzad, Muhammad Kamran Malik, Khawar Mehmood
Erschienen in: Intelligent Technologies and Applications
Verlag: Springer Singapore
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Abstract
Several wearable devices are available in the market they are becoming increasingly popular. These devices have been used for scheduling, time management, energy prediction, as well as for health management. Our thorough analysis of the literature has revealed that the majority of the studies focus on investigating the usefulness, accuracy, or adoption of the devices. However, no study has been conducted to evaluate the perception of these wearable devices among its users. To that end, in this study, we have used the end-user feedback in natural language to evaluate the perception of Fitbit-Alta-HR, which is an award-winning and widely used wearable device. The study reveals that majority of the users talk positively about the device. Furthermore, we have performed experiments using three supervised learning techniques to evaluate their effectiveness for classification. The studies show that state-of-the-art Artificial Neural Networks is the most effective technique, and unigram is the most suitable feature.