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Analyze user's specific eye behaviour along with other parameters to identify if a sent message has been read by the recipients. Disclosure Number: IPCOM000247767D
Publication Date: 2016-Oct-06
Document File: 3 page(s) / 27K

Publishing Venue

The Prior Art Database


With phenomenal advancement in messaging technologies every year, it is only but a natural expectation for a person sending a message to know if the intended person has indeed read the message. There are already indicators existing in the current world, however, there is discordance in the interpretation if the message has been just “seen” or really “read”.e.g If a user just opens the message or just glances through it , it will be marked as read.This article talks about a mechanism using which we can determine if the user has indeed read the message in its entirety.

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Analyze user's specific eye behaviour along with other parameters to identify if a sent message has been read by the recipients .

Every user has a unique reading pattern which depends on various factors like understanding of the language, time taken to read a passage etc. This article suggests a mechanism where device can learn user's behavior of opening, reading, time spent in looking at the message, scrolling up and down.

Also learn user's different eye behaviors along with time taken to read a message and analyze it in accordance of reading behavior to make better prediction if message has been read.

Eye Movements:

Eye movements are typically divided into fixations and saccades -when the eye gaze pauses in a certain position, and when it moves to another position, respectively. The resulting series of fixations and saccades is called a scanpath. Scanpaths are useful for analyzing cognitive intent, interest, and salience. Other biological factors (some as simple as gender) may affect the scanpath as well. Smooth pursuit describes the eye following a moving object. Fixational eye movements include microsaccades, which are small, involuntary saccades that occur during attempted fixation. Most information from the eye is made available during a fixation or smooth pursuit, but not during a saccade. Hence, the locations of fixations or smooth pursuit along a scanpath show what information loci on the stimulus were processed during an eye tracking session. On an average, fixations last for around 200 ms during the reading of linguistic text, and 350 ms during the viewing of a scene. Preparing a saccade towards a new goal takes around 200 ms.

Eye tracking:

Eye-tracking setups vary greatly; some are head-mounted, some require the head to be stable (for example, with a chin rest), and some function remotely and automatically track the head during motion. Most use a sampling rate of at least 30 Hz. Although 50/60 Hz is more common, today many video-based eye trackers run at 240, 350 or even 1000/1250 Hz, which is needed in order to capture fixational eye movements or correctly measure saccade dynamics.

Message Display on Device:

When message is created it contains certain defined characters, representation of which can change based on the device settings. When user opens a message, its rendering is based on device settings and it takes the device's real estate in