Quality of Experience of Smart-Wearables: From Fitness-Bands to Smartwatches
Debajyoti Pal, Anuchart Tassanaviboon, Chonlameth Arpnikanondt, Borworn Papasratorn
Abstract
Debajyoti Pal, Anuchart Tassanaviboon, Chonlameth Arpnikanondt, Borworn Papasratorn
Abstract
Of late, there has been a steep rise in the smart-wearable market. To continue this growth, it is necessary to maintain a certain level of quality of experience (QoE) as perceived by the end-users. This article attempts to create a QoE model based upon the end-user perception of using smartwatches and fitness-trackers. The QoE is evaluated from a dual perspective of the quality of data (QoD) and the quality of information (QoI) collected from these smart-wearables. QoD gives a measure of the data accuracy and precision, while QoI is representative of the information quality obtained after doing analytics on the collected data. A total of 20 participants are involved in a subjective experiment, which uses five different types of wearables for the purpose of QoE evaluation.
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Of late, there has been a steep rise in the smart-wearable market. To continue this growth, it is necessary to maintain a certain level of quality of experience (QoE) as perceived by the end-users. This article attempts to create a QoE model based upon the end-user perception of using smartwatches and fitness-trackers. The QoE is evaluated from a dual perspective of the quality of data (QoD) and the quality of information (QoI) collected from these smart-wearables. QoD gives a measure of the data accuracy and precision, while QoI is representative of the information quality obtained after doing analytics on the collected data. A total of 20 participants are involved in a subjective experiment, which uses five different types of wearables for the purpose of QoE evaluation.
Key concepts: Smartwatch, Wearable computer, Computer science, Wearable technology, Quality (philosophy), Human–computer interaction, Quality of experience, Activity tracker