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

Community-based Design of Open Sourc...

Ahmed, Alex Aslam.

FindBook

Google Book

Amazon

博客來

Community-based Design of Open Source Software for Transgender Voice Training.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Community-based Design of Open Source Software for Transgender Voice Training./
作者:	Ahmed, Alex Aslam.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	232 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
Contained By:	Dissertations Abstracts International82-01B.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28000027
ISBN:	9798641747743

Community-based Design of Open Source Software for Transgender Voice Training.
Ahmed, Alex Aslam.

Community-based Design of Open Source Software for Transgender Voice Training. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 232 p.

Source: Dissertations Abstracts International, Volume: 82-01, Section: B.

Thesis (Ph.D.)--Northeastern University, 2020.

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

Voice training consists of personalized sessions that support transgender individuals in changing their voices (such as modifying pitch or resonance for greater alignment with gender identity). However, transgender people face widespread oppression and health disparities, which limit their ability to access quality, gender-affirming health care, including voice training. The goal of this dissertation is to create a freely available voice training application for transgender people using a participatory research methodology. I describe the formation of an online organization called Project Spectra, which designed a novel voice training application. I also present a preliminary evaluation of the app focusing on the experiences of two transgender women who used the app for about five weeks. Using quantitative and qualitative outcome measures, the study aimed to elucidate whether and how the app furthered participants' voice goals, as well as how it fit into the context of their lives. We found that participants were able to use the app in ways that were suited to their specific needs. They also shared numerous ways the app could be improved both functionally and aesthetically. This dissertation intervenes in current lines of thinking in personal health informatics (PHI). In showing how a personal health technology can be built collaboratively online through sustained, long-term engagement with a vulnerable community, I make the case for an ideological shift in the field towards social change, beyond individual change. I explore data visualizations that support user agency and self-determination. I also join ongoing conversations in human-computer interaction (HCI) critiquing the established methods of participatory design. Online collaborative making, inspired by the open source movement, could be a promising avenue for future research in the field; however, I argue that methodological shifts must be accompanied by ideological shifts (in intentions and values) and material shifts (in power and access to resources).

ISBN: 9798641747743Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Data visualization

Community-based Design of Open Source Software for Transgender Voice Training.
LDR:03261nmm a2200385 4500 001 2280041
005 20210823091503.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798641747743
035 $a (MiAaPQ)AAI28000027
035 $a AAI28000027
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ahmed, Alex Aslam. $3 3558536
245 1 0 $a Community-based Design of Open Source Software for Transgender Voice Training.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 232 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
500 $a Advisor: Goodwin, Matthew S.
502 $a Thesis (Ph.D.)--Northeastern University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Voice training consists of personalized sessions that support transgender individuals in changing their voices (such as modifying pitch or resonance for greater alignment with gender identity). However, transgender people face widespread oppression and health disparities, which limit their ability to access quality, gender-affirming health care, including voice training. The goal of this dissertation is to create a freely available voice training application for transgender people using a participatory research methodology. I describe the formation of an online organization called Project Spectra, which designed a novel voice training application. I also present a preliminary evaluation of the app focusing on the experiences of two transgender women who used the app for about five weeks. Using quantitative and qualitative outcome measures, the study aimed to elucidate whether and how the app furthered participants' voice goals, as well as how it fit into the context of their lives. We found that participants were able to use the app in ways that were suited to their specific needs. They also shared numerous ways the app could be improved both functionally and aesthetically. This dissertation intervenes in current lines of thinking in personal health informatics (PHI). In showing how a personal health technology can be built collaboratively online through sustained, long-term engagement with a vulnerable community, I make the case for an ideological shift in the field towards social change, beyond individual change. I explore data visualizations that support user agency and self-determination. I also join ongoing conversations in human-computer interaction (HCI) critiquing the established methods of participatory design. Online collaborative making, inspired by the open source movement, could be a promising avenue for future research in the field; however, I argue that methodological shifts must be accompanied by ideological shifts (in intentions and values) and material shifts (in power and access to resources).
590 $a School code: 0160.
650 4 $a Computer science. $3 523869
650 4 $a Speech therapy. $3 520446
650 4 $a LGBTQ studies. $3 2122706
653 $a Data visualization
653 $a Human-computer interaction
653 $a Participatory design
653 $a Personal health informatics
653 $a Transgender
653 $a Voice
690 $a 0984
690 $a 0460
690 $a 0492
710 2 $a Northeastern University. $b Health Informatics. $3 3558537
773 0 $t Dissertations Abstracts International $g 82-01B.
790 $a 0160
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28000027