Description:FIELD OF THE INVENTION
This invention relates to Context-Aware Screen Time Alert System for Short-Form Video Consumption
BACKGROUND OF THE INVENTION
Users, particularly teenagers and young adults, are spending more time watching quick, repetitive videos as a result of the rise in popularity of short-form video platforms. Several mental and physical health issues, such as decreased attention span, eye strain, sleep difficulties, elevated anxiety, and the potential for digital addiction, are associated with excessive screen usage. Instead of being able to adjust to the user's current context or emotional state, most screen time management technologies rely on generic alarms or time limitations. They also don't reveal how a user's mood or general well-being is impacted by screen time.
An intelligent, context-aware system that records and analyses user facial expressions to identify indicators of stress, exhaustion, or negative emotional states is desperately needed. It should also monitor and control the use of short-form videos. A system like this would allow for more prompt and individualized interventions based on real-time contextual factors like location, time of day, user activity, content type, and emotional state, is desperately needed. This system will be able to intelligently track and organize screen time for short-form video consumption assisting guardians and users In addition to assisting parents and educators in promoting responsible gadget use, such a system should offer users timely and after attach this device/chip to smart phone it will show notification then perform clear the content of screen for a minute to distract the person from screen in identifying harmful trends and taking preventative steps to protect their physical and mental well-being.
US-10904611-B2 - Systems and processes are disclosed for controlling television user interactions using a virtual assistant. In an example process, a virtual assistant can interact with a television set-top box to control content shown on a television display. Speech input for the virtual assistant can be received from a device with a microphone. The speech input can comprise a query associated with content shown on the television display. A user intent of the query can be determined based on one or more of the contents shown on the television display and a viewing history of media content. A result of the query can be caused to be displayed based on the determined user intent.
RESEARCH GAP:
• Improved user well-being, reduced screen addiction, and responsible gadget use
• Sends notifications, enforces breaks, provides reports to guardians, and clears the screen to disrupt viewing
For emotional and behavioural intervention, including location, time, user activity, and content type
US20190311718A1 A voice-interaction device includes a plurality of input and output components configured to facilitate interaction between the device and a target user. The plurality of input and output components may include a microphone configured to sense sound and generate an audio input signal, a speaker configured to output an audio signal to the target user, and an input component configured to sense at least one non-audible interaction from the target user. A context controller monitors the plurality of input and output components and determines a current use context. A virtual assistant module facilitates voice communications between the voice-interaction device and the target user and configures one or more of the input and output components in response to the current use context. The current use context may include whisper detection, target user proximity, gaze direction tracking and other use contexts
RESEARCH GAP:
• focused on digital wellbeing, employing context and facial expression analysis to control and modify screen-time habits, particularly with regard to short-form video usage
• Aims is to provide prompt, individualized interventions to prevent the harmful health effects of excessive screen usage.
• uses contextual information and facial expression recognition, which is backed as a viable method for detecting emotion and weariness in digital wellbeing apps.
• Monitors and manages short-form video consumption for health and wellbeing
• Digital wellbeing, AI, screen time management, health technology
CN104954354A Examples disclose systems and methods for recognizing objects. A method may be executed to receive a query from a robot. The query may include identification data associated with an object and contextual data associated with the object. The query may also include situational data. The method may also be executable to identify the object based at least in part on the data in the query received from the robot. Further, the method may be executable to send data associated with the identified object to the robot in response to the query. Techniques are disclosed for streaming digital content from a server to a client device in a manner adapted to the context in which the client device is used. The context in which a client device is used may, for example, refer to the operating characteristics of the device and/or the environmental conditions under which the device is used. Client devices can be configured to collect contextual data that characterizes the context in which they are used. The manner in which streaming media is delivered to client devices can be adjusted based on such context data, in particular, adjustments can be made in such a way that content delivery is tailored to a particular usage context. This can improve user experience and save battery and network resources, for example, by avoiding streaming high definition content to devices capable of rendering standard definition content due to its usage context.
RESEARCH GAP:
• Managing and monitoring screen time, especially for short-form video, using context and emotional analysis.
• Digital health, screen time management, mental well-being, mobile technology.
• Facial expression analysis, context-aware notifications, real-time emotional state tracking.
• Human user (especially teenagers/young adults) using smartphones.
• System monitors user’s facial expressions and context, sends notifications, and enforces breaks to promote healthy screen habits
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to Context-Aware Screen Time Alert System for Short-Form Video Consumption.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The objective of this project is to design and develop a Context-Aware Screen Time Alert System for Short-Form Video Consumption is an example of an app whose goals should be clear, actionable, and centred on tackling the difficulties of managing digital health in the age of short-form video platforms. These clearly stated goals are backed by the most recent best practices in creating screen time control apps. These objectives will guide the app’s development, ensuring it is effective in managing screen time and adaptive, user-friendly, and relevant to the unique challenges posed by short-form video consumption. The aim of this project is also to help the user to understand the mental health of a person the mobile connected with An intelligent, context-aware system that records and analyses user facial expressions to identify indicators of stress, exhaustion, or negative emotional states is desperately needed. It should also monitor and control the use of short-form videos. A system like this would allow to record for more prompt and individualized interventions based on real-time contextual factors like location, time of day, user activity, content type, and emotional state, is desperately needed. This system will be able to intelligently track and organize screen time for short-form video consumption
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: FLOW DIAGRAM
FIGURE 2: GENERAL WORKING PROCESS DIAGRAM
FIGURE 3: TECHNICAL DIAGRAM
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The objective of this project is to design and develop a Context-Aware Screen Time Alert System for Short-Form Video Consumption is an example of an app whose goals should be clear, actionable, and centred on tackling the difficulties of managing digital health in the age of short-form video platforms. These clearly stated goals are backed by the most recent best practices in creating screen time control apps. These objectives will guide the app’s development, ensuring it is effective in managing screen time and adaptive, user-friendly, and relevant to the unique challenges posed by short-form video consumption. The aim of this project is also to help the user to understand the mental health of a person the mobile connected with An intelligent, context-aware system that records and analyses user facial expressions to identify indicators of stress, exhaustion, or negative emotional states is desperately needed. It should also monitor and control the use of short-form videos. A system like this would allow to record for more prompt and individualized interventions based on real-time contextual factors like location, time of day, user activity, content type, and emotional state, is desperately needed. This system will be able to intelligently track and organize screen time for short-form video consumption
The technical diagram of Context-Aware Screen Time Alert System for Short-Form Video Consumption usually shows how several parts work together to track user context and video usage and then send out the relevant notifications. A description of what such a graphic would depict is provided below, drawing from well-known context-aware system architectures. It contains functionality like 1) context awareness, 2) Short-form video consumption, 3) context-aware alert, 4) Potential features .
1) Context Awareness
Devices/Smartphones (101): Developing context-aware screen time alarm systems, particularly for short-form video consumption, depends primarily on smartphones. Real-time context identification and customized interactions are made possible by their special blend of sensors, connections, and processing capacity.
User (102): In this system, a user is a person whose behaviour, surroundings, and preferences are continuously tracked and evaluated to provide timely, individualized messages that are intended to help with screen time management.
Sensor (103): The accessory would collect data on the user's physical surroundings and activities using sensors (such as an accelerometer, gyroscope, GPS, light sensors, and proximity sensors).
Data Integration (104): To create a complete picture of their context, it would also combine with other data sources, such as the user's calendar, location information, and possibly even social media activity.
Contextual Analysis (105): To figure out the user's current context—such as when they are at work, home, commuting, or exercising—an algorithm would examine this data.
2) Short-Form Video Consumption
Tracking Usage (201): The user's usage of short-form video sites (such as YouTube Shorts, Instagram Reels, and TikTok) will be monitored by the system.
Content Analysis (202):It would detect patterns in viewing behaviours, including frequency of use, session length, and time of day. The system may even examine the information being viewed in certain implementations to determine its type and any effects on the user.
3) Context Aware- Alerts
Trigger notifications (301): The system would send out alerts or notifications based on the user's viewing habits and context.
Personalized messages (301): These alerts might be tailored to the user's circumstances, for example, reminding them to watch properly before bed or suggesting a break after an extended workday.
Customizable settings (301): These notifications might be customized to the user's situation, such as reminding them to watch carefully before bed or advising a rest after a long week of work.
4) Potential Features
Time limits (401): The system could enforce time limits on short-form video consumption, either globally or within specific contexts.
Break reminder (402): It could remind the user to take regular depends when watching for an amount extended of time.
Content Filtering (403): To assist users in finding more useful or interesting content, the system could at times incorporate content filtering or recommendation tools.
Gamification (404): The system may include aspects of a game to promote good screen-time practices.
ADVANTAGES OF THE INVENTION:
There are several obvious advantages for individuals, families, educational institutions, and businesses looking to promote healthy digital habits by using a context-aware screen time alarm system for short-form video consumption. First, the system helps users reduce their exposure to blue light before bed, which improves the quality of their sleep and makes evenings more pleasant by tracking and minimizing evening or late-night video viewing. Second, context-aware notifications are intended to reduce distractions while working, studying, or performing other crucial tasks. This helps users concentrate better and finish more tasks quickly, which boosts concentration and productivity. Thirdly, by reducing excessive short-form video consumption, the system promotes more face-to-face conversation, which improves social connections by reducing loneliness and improving ties with loved ones. To assist in preventing sedentary behaviour and encourage a healthier, more active lifestyle, the system also reminds users to take breaks and participate in offline activities. Users become more aware of their digital habits thanks to comprehensive usage data and customized alerts, which enable them to better manage their time and strike a balance between their online and offline obligations. Reducing excessive screen time for kids and teenagers improves their focus and memory while also helping them control their reactions, which benefits their academic achievement and personal growth.
, Claims:We Claim:
1. A Context-Aware Screen Time Alert System for Short-Form Video Consumption, comprising: a mobile device, a contextual data acquisition module, a contextual analysis engine, a video usage tracking module, an emotional state analysis module and an alert generation engine.
2. The system as claimed in claim 1, wherein the system is further configured to adjust alerts and screen time recommendations dynamically, based on real-time changes in user context and behavior.
3. The system as claimed in claim 1, wherein the mobile device comprising a processor, memory, and a plurality of sensors including at least one of an accelerometer, gyroscope, GPS, proximity sensor, or light sensor.
4. The system as claimed in claim 1, wherein the contextual data acquisition module configured to collect user data related to physical activity, location, environmental light, and device usage patterns.
5. The system as claimed in claim 1, wherein the video usage tracking module configured to monitor user interactions with short-form video applications and log metrics including frequency, duration, time of access, and type of content.
6. The system as claimed in claim 1, wherein the alert generation engine configured to trigger personalized notifications based on a combination of usage data, contextual analysis and emotional states and enforce customizable screen time limits.