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Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Related Experiment Videos

Supporting Novices Author Audio Descriptions via Automatic Feedback.

Rosiana Natalie¹, Joshua Tseng¹, Hernisa Kacorri²

¹Singapore Management University, Singapore.

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI Conference

|March 3, 2025

Summary

This study introduces an automated system to help novices create audio descriptions (AD) for videos, reducing production costs by 45%. Automatic feedback enhances description quality, making videos more accessible.

Keywords:

AI-supported Writing Accessibility Individuals with Disabilities and Assistive Technologies

Related Experiment Videos

Area of Science:

Accessibility research
Human-computer interaction
Natural language processing

Background:

Videos often lack audio descriptions (AD), hindering accessibility for visually impaired individuals.
Traditional AD production is costly and time-consuming, relying on professional services.
There is a need for cost-effective methods to increase AD availability.

Purpose of the Study:

To develop and evaluate an AD authoring system that supports novices in creating scene descriptions (SD).
To investigate the effectiveness of automatic feedback in improving novice-written SD for AD generation.
To assess the impact of automatic feedback on production costs and AD quality.

Main Methods:

Developed an AD authoring system integrating video scene recognition and NLP for automatic feedback.
Recruited 60 participants to author SD under three conditions: no feedback, human feedback, and automatic feedback.
Evaluated SD quality based on descriptiveness, objectiveness, sufficiency, clarity, and learning quality.

Main Results:

Automatic feedback significantly improved the descriptiveness, objectiveness, and learning quality of novice-written SD.
Automatic feedback did not negatively impact SD sufficiency or clarity.
The system demonstrated a potential to reduce AD production costs by 45% compared to traditional methods.

Conclusions:

Novice-assisted AD authoring with automatic feedback is a viable, cost-effective approach to enhance video accessibility.
Automatic feedback offers a scalable solution to improve AD quality and quantity.
While human feedback remains superior, automatic feedback presents a practical alternative for widespread AD implementation.