東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Investigating the Importance of Non-...

Amin, Akhter Al.

FindBook

Google Book

Amazon

博客來

Investigating the Importance of Non-Textual Caption Properties from Deaf and Hard of Hearing Viewers' Perspective.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Investigating the Importance of Non-Textual Caption Properties from Deaf and Hard of Hearing Viewers' Perspective./
作者:	Amin, Akhter Al.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	292 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-11, Section: A.
Contained By:	Dissertations Abstracts International84-11A.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30426829
ISBN:	9798379533496

Investigating the Importance of Non-Textual Caption Properties from Deaf and Hard of Hearing Viewers' Perspective.
Amin, Akhter Al.

Investigating the Importance of Non-Textual Caption Properties from Deaf and Hard of Hearing Viewers' Perspective. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 292 p.

Source: Dissertations Abstracts International, Volume: 84-11, Section: A.

Thesis (Ph.D.)--Rochester Institute of Technology, 2023.

This item must not be sold to any third party vendors.

Deaf and hard-of-hearing (DHH) viewers rely on captioning to perceive auditory information while watching live television programming. Captioning ensures that viewers can receive textual and non-textual information that is crucial to comprehend the content of the video. However, no research has investigated how non-textual properties of captioning, such as caption placement and the presentation of current speakers, influence DHH viewers' ability to comprehend video content and their judgement of a captioned video's quality. Thus, this work aims to understand the effect of non-textual properties of captioning on DHH viewers' live captioned video watching experiences; these findings can inform a better design of existing live captioning guidelines and caption quality evaluation methods to benefit DHH viewers who employ captioning while watching live TV programming. This dissertation offers the following three major contributions:1. Understanding Perspective of DHH Users' while Watching Live Captioned TV Programming. While captioning is a long-standing medium of disseminating auditory information, live captioning is relatively newer phenomenon. It is still unknown how current practices related to captioning properties and appearance affect DHH viewers' ability to comprehend the content of TV programming. Furthermore, it is also unknown what challenges DHH viewers encounter with traditional captioning and what methods of presenting captions they prefer in a live context. Thus, the first part of this dissertation focuses on investigating the perspectives of DHH viewers regarding caption appearance in live TV programming.2. The Creation and Evaluation of Occlusion Severity-Based Caption Evaluation Methods. Prior literature has identified challenges encountered by DHH viewers when captions overlap some of the visual information on the screen. However, no research has quantified how much information captions occlude and which information affects DHH viewers' subjective assessments of the quality of captioned videos. In light of this, in this part, we present research that aims to identify the information regions that are crucial to DHH viewers. Based on users' subjective priority on these information regions, we developed and evaluated metrics that can estimate the quality of captioning when captions occlude various information regions from the perspective of DHH viewers.3. The Effect of Speaker Identifier Methods on DHH Viewers' Subjective Assessments of a Captioned Video's Quality. This part explores another facet of caption attributes, namely the ability to identify the current speaker on the screen. Prior literature has proposed several advanced speaker identification methods that somewhat improved viewers' ability to comprehend who is speaking. However, due to the challenges involved in live captioning, including captioners' time and resource limitations, several in-text speaker identification methods are more commonly used live contexts, yet no prior research has evaluated how these methods would perform when multiple people appear on the screen. Therefore, we investigate whether DHH viewers' preferences regarding speaker identification methods change in the presence of various numbers of onscreen speakers.

ISBN: 9798379533496Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Accessibility

Investigating the Importance of Non-Textual Caption Properties from Deaf and Hard of Hearing Viewers' Perspective.
LDR:04599nmm a2200421 4500 001 2393160
005 20240311061554.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798379533496
035 $a (MiAaPQ)AAI30426829
035 $a AAI30426829
040 $a MiAaPQ $c MiAaPQ
100 1 $a Amin, Akhter Al. $3 3762604
245 1 0 $a Investigating the Importance of Non-Textual Caption Properties from Deaf and Hard of Hearing Viewers' Perspective.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 292 p.
500 $a Source: Dissertations Abstracts International, Volume: 84-11, Section: A.
500 $a Advisor: Huenerfauth, Matt.
502 $a Thesis (Ph.D.)--Rochester Institute of Technology, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a Deaf and hard-of-hearing (DHH) viewers rely on captioning to perceive auditory information while watching live television programming. Captioning ensures that viewers can receive textual and non-textual information that is crucial to comprehend the content of the video. However, no research has investigated how non-textual properties of captioning, such as caption placement and the presentation of current speakers, influence DHH viewers' ability to comprehend video content and their judgement of a captioned video's quality. Thus, this work aims to understand the effect of non-textual properties of captioning on DHH viewers' live captioned video watching experiences; these findings can inform a better design of existing live captioning guidelines and caption quality evaluation methods to benefit DHH viewers who employ captioning while watching live TV programming. This dissertation offers the following three major contributions:1. Understanding Perspective of DHH Users' while Watching Live Captioned TV Programming. While captioning is a long-standing medium of disseminating auditory information, live captioning is relatively newer phenomenon. It is still unknown how current practices related to captioning properties and appearance affect DHH viewers' ability to comprehend the content of TV programming. Furthermore, it is also unknown what challenges DHH viewers encounter with traditional captioning and what methods of presenting captions they prefer in a live context. Thus, the first part of this dissertation focuses on investigating the perspectives of DHH viewers regarding caption appearance in live TV programming.2. The Creation and Evaluation of Occlusion Severity-Based Caption Evaluation Methods. Prior literature has identified challenges encountered by DHH viewers when captions overlap some of the visual information on the screen. However, no research has quantified how much information captions occlude and which information affects DHH viewers' subjective assessments of the quality of captioned videos. In light of this, in this part, we present research that aims to identify the information regions that are crucial to DHH viewers. Based on users' subjective priority on these information regions, we developed and evaluated metrics that can estimate the quality of captioning when captions occlude various information regions from the perspective of DHH viewers.3. The Effect of Speaker Identifier Methods on DHH Viewers' Subjective Assessments of a Captioned Video's Quality. This part explores another facet of caption attributes, namely the ability to identify the current speaker on the screen. Prior literature has proposed several advanced speaker identification methods that somewhat improved viewers' ability to comprehend who is speaking. However, due to the challenges involved in live captioning, including captioners' time and resource limitations, several in-text speaker identification methods are more commonly used live contexts, yet no prior research has evaluated how these methods would perform when multiple people appear on the screen. Therefore, we investigate whether DHH viewers' preferences regarding speaker identification methods change in the presence of various numbers of onscreen speakers.
590 $a School code: 0465.
650 4 $a Computer science. $3 523869
650 4 $a Mass communications. $3 3422380
650 4 $a Audiology. $3 537237
653 $a Accessibility
653 $a Information captions
653 $a Human-computer interaction
653 $a Machine learning
653 $a Onscreen speakers
653 $a Deaf viewers
690 $a 0984
690 $a 0300
690 $a 0800
690 $a 0708
710 2 $a Rochester Institute of Technology. $b Computing and Information Sciences. $3 1064735
773 0 $t Dissertations Abstracts International $g 84-11A.
790 $a 0465
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30426829