The design, nature and operational characteristics of Google Glass — i.e. a device that can record hands-free what one sees and hears, deliver audio/visual directives even without asking, and respond to both verbal and  non-verbal forms of behavior — readily lend themselves to the application of behavioral conditioning.


lassicAttention© uses the unique capabilities of Google Glass to condition on-task classroom behavior through the application of teacher differential feedback: positive feedback for on-task responses; redirecting (negative) feedback for off-task behavior.

One behavior to which Glass responds is head gesture. This behavior (or, perhaps in the future, eye movements) is used as a measure to determine whether attentional gaze of the user is focused on task or has shifted away from proper visual destinations, and for how long.

Through the use of such measures, on-task behavior (e.g. maintaining attentional gaze, returning gaze to appropriate parameter) can be shaped using the classroom contingencies mentioned above, i.e. rewarding / punishing teacher cues, prompts, comments — pre-recorded and delivered by ClassicAttention© according to behaviorally-defined criteria.

ClassicAttention© uses two kinds of feedback modes – audio and visual prompts/cues – for maximum effectiveness. For instance, in the presence of an appropriate on-task response such as 30 seconds of sustained attentional gaze, ClassicAttention© will deliver one of a series of pre-recorded, rewarding stimuli such as an audio byte or a brief video clip of the class teacher saying something like, “good job, Johnny; keep going”,  “you’re doing well”, “very good”, “you’re almost finished”.

Other  reward stimuli can include various auditory or visual signals. For instance, a brief flash of a green indicator light might announce that a “good behavior bonus” has just been delivered along with the user’s most recent on-task response: not unlike the reinforcement used in a video game.

ClassicAttention also detects and responds to off-task behavior by delivering punishers: negative, admonishing teacher commentary designed to redirect attention appropriately. Thus, in response to a sustained distraction (off-target) gaze, ClassicAttention will randomly play one of a series of pre-recorded teacher comments such as, “get back to work, Johnny”, “you are not paying attention”, “keep focussed”, “keep on task”, “return to work now”, “have you finished yet?”, etc.


ther punishment stimuli might include aversive audio/visual signals (e.g. buzzer, red light) associated with a response-related drop in that session’s “good behavior score”.

Finally, ClassicAttention© makes it easy to record, set up and implement video bytes and other stimuli used for differential reinforcement. In addition, video bytes can even be customized for individual users.