Quality of experience of smart-wearables: From fitness-bands to smartwatches
D Pal, A Tassanaviboon… - IEEE Consumer …, 2019 - ieeexplore.ieee.org
IEEE Consumer Electronics Magazine, 2019•ieeexplore.ieee.org
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 …
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 …
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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