Emotion-Adaptive Passenger Announcements Under Cabin Noise
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Solution Overview
Problem
Existing systems fail to effectively manage passenger expectations and communicate with passengers on aircraft, leading to increased pilot workload and suboptimal crowd behavior responses due to ambient noise and emotional states.
Innovation Solution
A system and method that utilizes a multimedia device to detect facial images and acoustic sounds, processes these features to determine an aggregate emotional state, and adjusts acoustic-prosodic features of announcements to improve communication and manage passenger expectations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pilots manually manage passenger expectations and communicate with passengers, then communication effectiveness can be maintained, but pilot workload increases
Solution Approach 1:
The system enables automated monitoring and adaptation of announcements based on crowd emotional states and environmental conditions. The processor automatically analyzes facial images, acoustic signals, and ambient noise levels, then adjusts announcement parameters without pilot intervention, allowing the system to serve itself in managing passenger communication
Solution Approach 2:
The patent replaces the mechanical/manual system of pilot-delivered announcements with an automated digital system that uses multimedia devices, processors, and algorithms to detect emotional states and adapt acoustic-prosodic features, substituting human cognitive and physical effort with computational processes
2Productivity
If standard announcements are used without adaptation, then pilot workload remains low, but crowd behavior response becomes suboptimal due to ambient noise and emotional states
Solution Approach 1:
The system dynamically adjusts acoustic-prosodic features of announcements based on real-time detection of crowd emotional states and ambient noise conditions. The processor continuously modifies announcement parameters such as pitch, volume, and timing to match current environmental conditions, making the communication system adaptive rather than static
Solution Approach 2:
The patent changes physical parameters of the announcement delivery system by adjusting acoustic-prosodic features (pitch, volume, speaking rate) based on detected emotional states and noise levels. This involves modifying the physical characteristics of the audio output to optimize comprehension and impact under varying conditions
3Adaptability or versatility
If announcements do not account for emotional states, then messaging remains simple, but the desired impact on crowd behavior is reduced
Solution Approach 1:
The system introduces multimedia devices and processing algorithms as intermediaries between the announcement system and the crowd. These intermediaries capture facial images and acoustic signals, process them through emotion recognition algorithms, and translate them into adapted messaging parameters, bridging the gap between physical detection and communicative response
Data Source
AI summary
A system and method for providing targeted crowd-based acoustic-prosodic and linguistic accommodation includes simultaneously detecting, with a multimedia device, individual facial images of a plurality of individuals and acoustic sounds from the plurality of individuals. Message data representative of an audible message supplied to the plurality of individuals is supplied to the processing system, the message data. In the processing system: a plurality of facial features and a plurality of acoustic-related features are extracted from the multimedia data; the facial features and the acoustic-related features are processed to determine an aggregate emotional state of the plurality of individuals; one or more acoustic-prosodic features of the audible message and/or a content of the audible message are selectively manipulated based on the determined aggregate emotional state of the plurality of individuals to generate an updated audible message; and the updated audible message is output.