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MOOD ADVISOR BASED ON A USER'S ONLINE AND DEVICE ACTIVITY

IP.com Disclosure Number: IPCOM000237826D
Publication Date: 2014-Jul-15

Publishing Venue

The IP.com Prior Art Database

Abstract

A system can determine correlations between user moods and user activities performed with devices, and can provide advice affecting user moods based on such correlations. For example, the system records moods of a user, such as by requesting that the user input his or her current moods periodically to devices. The system also determines and records activities and conditions that are engaged in by the user over time, based on the user's usage of devices for physical and online activity and based on detection of user activity using devices and device data. The system correlates moods of the user to activities based on which activities were performed by the user close in time (or otherwise connected) to particular moods, and/or by correlating and finding patterns of moods resulting from particular activities. The system can present the correlation information to the user as well as offer advice based on the correlations as to how to better attain more positive moods by changing the user's activities.

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MOOD ADVISOR BASED ON A USER'S ONLINE AND DEVICE ACTIVITY ABSTRACT

A system can determine correlations between user moods and user activities performed with devices, and can provide advice affecting user moods based on such correlations. For example, the system records moods of a user, such as by requesting that the user input his or her current moods periodically to devices. The system also determines and records activities and conditions that are engaged in by the user over time, based on the user's usage of devices for physical and online activity and based on detection of user activity using devices and device data. The system correlates moods of the user to activities based on which activities were performed by the user close in time (or otherwise connected) to particular moods, and/or by correlating and finding patterns of moods resulting from particular activities. The system can present the correlation information to the user as well as offer advice based on the correlations as to how to better attain more positive moods by changing the user's activities.

DESCRIPTION

    The present disclosure describes features related to providing information and advice for users related to their moods or feelings and based on data collected by a system regarding user moods and user activities that have been manually input and/or detected through their use of devices.

    There is now widespread use of applications by users through electronic devices (cell phones, tablet devices, wearable devices, laptop or desktop computers, game systems, vehicle systems, etc.), such that many user activities can be detected by or through those devices. For example, various online and device activities such as shopping, banking, interactions with friends, calendar appointments and events, and other activities can be performed largely through, with, or assisted by devices. Methods and systems described herein attempt to find correlations between these different user activities and user moods. The system can attempt to find patterns in activities and moods of a user, and use these patterns to advise the user on future activities in order to affect positive moods and negative moods. Since it may be difficult for a person to

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normally know or understand what may be affecting their moods, such features can greatly assist users in becoming more self-aware of their moods and to achieve positive changes.

    More specifically, the system can record users' input that describes their current or past moods, and correlate this user mood input with the users' activities as detected through device usage, sensors, and data. The system can determine patterns and advice information that can give the user an indication of how the user can affect his or her mood positively and negatively.

    Features described herein can be enabled in some implementations only with permission from the user. For example, the system can ask user permission to gather information about the...