Browse Prior Art Database

Composition Advisor Using Observed Recipient Behavior Disclosure Number: IPCOM000248464D
Publication Date: 2016-Dec-02
Document File: 3 page(s) / 37K

Publishing Venue

The Prior Art Database


Disclosed is a system that identifies users' email correspondence behaviors and creates user profiles. The profiles are made available to email composers/senders to support the most effective communication for a particular email recipient.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

Page 01 of 3

Composition Advisor Using Observed Recipient Behavior

With respect to email correspondence, habitual behaviors such as not reading an entire email before responding or not responding at all, can be unproductive and frustrating for people manage.

The novel contribution is a system that identifies users' email correspondence behaviors and creates user profiles. The profile of a given user indicates tendencies such as reading complete messages, skipping over large portions, or completely ignoring emails. The system makes this information available to those who communicate with the user , so that the sender can make informed decisions about the structure and content of the communications with the user (e.g. if the recipient typically does not read more than the first three sentences of an email, then the sender knows to keep the message short). Additionally, the system utilizes analytics to determine the type email to which the user best responds. The sender can use this information to write an effective message.

Recipients are scored based on how much of given academic grade level content is read. For example, user x reads on average 90% of the content that is a grade level 8, 70% of content that is at grade level 12, and 50% of content at grade level 15. As a user is composing a message, the system analyzes the writing to determine its academic grade level. It compares this grade level to the expected grade level of the recipient. The system can then indicate to the writer how well the current composition matches the profile of the recipient.

In instances of multiple recipients, the level of the recipients can be used (e.g., which recipient is more important) or an average reading level across all recipients can be used.

When the sender is composing a message, the recipient's profile is referenced to guide the sender with composition. If the recipient is a thorough reader, perhaps no intervention is required; however, if the recipient tends to read only a sentence or two of a message, the system can warn the sender via the email client of this fact to save the effort of composing a lengthy message that

will be largely ignored.

The system is implemented in two parts: data collection and advisory.

The data collection component uses one of any number of analytical techniques , such as:

Using gaze tracking to determine the percentage of an email that a recipient reads,
Using gaze tracking to identify which sections of an email a recipient reads (e.g., only the first paragraph)


Page 02 of 3

Identifying the academic reading level of content that the recipient thoroughly reads vs. content the recipient does...