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Advancing Human-AI Collaboration: Mu...

Karimli, Farid,

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Advancing Human-AI Collaboration: Multimodal Systems for Accessibility, Research, and Learning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advancing Human-AI Collaboration: Multimodal Systems for Accessibility, Research, and Learning // Farid Karimli.
Author:	Karimli, Farid,
Description:	1 electronic resource (81 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-08.
Contained By:	Masters Abstracts International86-08.
Subject:	Computer science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31768347
ISBN:	9798302873477

Advancing Human-AI Collaboration: Multimodal Systems for Accessibility, Research, and Learning /
Karimli, Farid,

Advancing Human-AI Collaboration: Multimodal Systems for Accessibility, Research, and Learning /Farid Karimli. - 1 electronic resource (81 pages)

Source: Masters Abstracts International, Volume: 86-08.

This thesis explores domain-specific AI applications in assistive technology, education, and botany. First, CameraMouse, an AI-powered system, enables computer use for individuals with severe motor impairments by converting head movements into cursor control. User studies highlight its effectiveness in enhancing accessibility. Next, an open-source platform for developing AI-powered academic chatbots was developed. Lastly, the thesis addresses species recognition and analysis in herbarium research, using fine-grained image classification, zero-shot learning, and conversational models. Early experiments show promising results in identifying subtle species differences. These projects demonstrate AI's impact on accessibility, education, and botany, and are unified by a common goal: designing intelligent, human-centered systems that empower users and make workflows more effective.

English

ISBN: 9798302873477Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Accessibility

Advancing Human-AI Collaboration: Multimodal Systems for Accessibility, Research, and Learning /
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520 $a This thesis explores domain-specific AI applications in assistive technology, education, and botany. First, CameraMouse, an AI-powered system, enables computer use for individuals with severe motor impairments by converting head movements into cursor control. User studies highlight its effectiveness in enhancing accessibility. Next, an open-source platform for developing AI-powered academic chatbots was developed. Lastly, the thesis addresses species recognition and analysis in herbarium research, using fine-grained image classification, zero-shot learning, and conversational models. Early experiments show promising results in identifying subtle species differences. These projects demonstrate AI's impact on accessibility, education, and botany, and are unified by a common goal: designing intelligent, human-centered systems that empower users and make workflows more effective.
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