Exact(12)
Immersive Labs, a company in Manhattan, has developed software for digital billboards using cameras to gauge the age range, sex and attention level of a passer-by.
By observing video footage (a), five human coders estimated attention level of each of the test persons.
In each of the five training/evaluation phases, attention level of all subjects was predicted from the testing set data.
Apart from visual signals, other types of measurements such as brainwaves (EEG) were utilized to assess attention level of students [12, 20].
New York-based Immersive Labs take it one step further and use cameras to also gauge the attention level of a passer-by so that adverts can be tailored to your level of interest.
The five human observers, j∈{1,2,3,4,5}, were asked to estimate observed attention level of the students during lecture on the scale 1..5 with a time granularity of 1 s.
Similar(46)
Machine learning algorithms are used to train classifiers which estimate time-varying attention levels of individual students.
Moreover, sequential analysis was conducted to analyze the sustained attention levels of students with sequential/global learning styles.
It has been found that, as expected, interesting and eye catchy advertisements may hold the attention levels of Chinese women which also mediates the direct effect of ACE constructs on their consumption behavior.
This study makes an attempt to devise a technique in the form of a Brain Computer Interface (BCI) Game, to assist the trainers in monitoring and evaluating the attention levels of the trainees, at regular intervals during the training period.
To measure the interest and attention levels of the study respondents towards the ACE variables, the participants were asked to rate their response on a 7-point Likert scale (ranging from strongly disagree to strongly agree).
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