Multimodal Abuse Detection Using Physiological Signals in Online Chat
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Solution Overview
Problem
Existing reporting systems for detecting verbal abuse in online multiplayer games are inadequate, often relying on user reports with little information provided to the accused and susceptible to false accusations, making it difficult to address abusive behavior effectively.
Innovation Solution
A system that utilizes physiological information, such as heart rate and perspiration levels, in conjunction with verbal phrases to determine the offensiveness of interactions, enabling automated or moderated reprimands based on the impact on other users, providing clearer reasons for reprimands and reducing false accusations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a basic reporting system is used to detect verbal abuse, then the system complexity is low, but the reliability of abuse detection is poor and false accusations occur
Solution Approach 1:
The patent combines multiple data sources (physiological signals, verbal communication content, contextual information) into a unified abuse detection system. By merging these diverse inputs and analyzing them together through machine learning models, the system achieves more reliable abuse detection than any single source could provide alone, while managing complexity through integrated processing.
Solution Approach 2:
The patent introduces physiological signals as an intermediary indicator to objectively assess user reactions during abusive interactions. These physiological measurements serve as a mediator between the verbal communication and the abuse determination, providing unbiased evidence of user stress or discomfort that reduces false accusations.
2Reliability
If detailed information about abuse reasons is provided to users, then the reliability of behavior correction is improved, but the loss of time for processing and communication increases
Solution Approach 1:
The system performs preliminary analysis of physiological signals and communication patterns during the interaction itself, so that when abuse is detected, the reasoning is already prepared and can be immediately communicated to the user. This eliminates delays in providing explanation while maintaining comprehensive analysis.
Solution Approach 2:
The system automatically generates detailed explanations of abuse reasons by analyzing the collected data, eliminating the need for manual moderation review for each case. This self-service approach provides comprehensive feedback to users quickly without requiring time-consuming human intervention for every incident.
Data Source
AI summary
A data processing apparatus includes circuitry configured to: receive a first signal indicative of one or more words communicated from a first user of online content to one or more second users of online content; classify the one or more words using the first signal; receive one or more second signals indicative of one or more physiological characteristics of the first user within a time period of a start of the communication of the one or more words; classify the one or more physiological characteristics using the one or more second signals; based on a classification of the one or more words and a classification of the one or more physiological characteristics, generate an action signal indicating that an action associated with the first user of the online content is to be taken, the action signal indicating a characteristic of the action determined based on a combination of the classification of the one or more words and the classification of the one or more physiological characteristics; and output the action signal.