東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Generative AI's Influence on Design ...

Catalan, Paula Colomba Munoz,

Linked to FindBook

Google Book

Amazon

博客來

Generative AI's Influence on Design Thinking: Enhancing Empathy Through Extreme Users and Parallel Universes /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Generative AI's Influence on Design Thinking: Enhancing Empathy Through Extreme Users and Parallel Universes // Paula Colomba Munoz Catalan.
Author:	Catalan, Paula Colomba Munoz,
Description:	1 electronic resource (73 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-06.
Contained By:	Masters Abstracts International86-06.
Subject:	Innovations. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31790147
ISBN:	9798346833123

Generative AI's Influence on Design Thinking: Enhancing Empathy Through Extreme Users and Parallel Universes /
Catalan, Paula Colomba Munoz,

Generative AI's Influence on Design Thinking: Enhancing Empathy Through Extreme Users and Parallel Universes /Paula Colomba Munoz Catalan. - 1 electronic resource (73 pages)

Source: Masters Abstracts International, Volume: 86-06.

This research explores integrating Generative AI into the inspiration phase of the Design Thinking process to enhance creativity and problem-solving. The argument is that new technologies should not be seen as a threat to human capabilities when working on innovation or finding solutions for decision-making but instead viewed as a cohesive tool with which we can improve the insights generated on the first and most crucial phase of the design thinking process, empathize. This investigation explores how AI was incorporated and analyzed with human-centered methodologies and approaches throughout design thinking procedures like extreme users and parallel universes to better perceive experiments' effectiveness. Master thesis students were challenged to improve their master thesis journey through the mentioned design thinking methodologies. Their understanding and results were compared to those given by a Generative AI model called ChatGPT 4, which was also tested in the same evaluations. A panel of experts qualified the proposed new practices and surprisingly generated divergent outcomes through quantitative and qualitative methods. In the Extreme Users methodology, Human results predominantly won, with 62.5% of the insights originating from people vs. 37.5% from ChatGPT 4. In contrast, in the Parallel Universe experiment, two of the three conclusions that were selected by a panel of experts were constructed by Generative AI. At the same time, only one was created by humans. Combining the two approaches leverages creativity and problem-solving by giving new insights that can be complemented or matched with human perceptions, making the process more empathetic for users and efficient for designers, creators, engineers, or any Design Thinking enthusiast.

English

ISBN: 9798346833123Subjects--Topical Terms:

754112
Innovations.
Subjects--Index Terms:

Design thinking

Generative AI's Influence on Design Thinking: Enhancing Empathy Through Extreme Users and Parallel Universes /
LDR:03111nmm a22003973i 4500 001 2432624
005 20250731101858.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798346833123
035 $a (MiAaPQD)AAI31790147
035 $a (MiAaPQD)10362175106
035 $a AAI31790147
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Catalan, Paula Colomba Munoz, $e author. $3 3821919
245 1 0 $a Generative AI's Influence on Design Thinking: Enhancing Empathy Through Extreme Users and Parallel Universes / $c Paula Colomba Munoz Catalan.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (73 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 86-06.
500 $a Advisors: Victorino, Guilherme.
502 $b M.A. $c Universidade NOVA de Lisboa (Portugal) $d 2024.
520 $a This research explores integrating Generative AI into the inspiration phase of the Design Thinking process to enhance creativity and problem-solving. The argument is that new technologies should not be seen as a threat to human capabilities when working on innovation or finding solutions for decision-making but instead viewed as a cohesive tool with which we can improve the insights generated on the first and most crucial phase of the design thinking process, empathize. This investigation explores how AI was incorporated and analyzed with human-centered methodologies and approaches throughout design thinking procedures like extreme users and parallel universes to better perceive experiments' effectiveness. Master thesis students were challenged to improve their master thesis journey through the mentioned design thinking methodologies. Their understanding and results were compared to those given by a Generative AI model called ChatGPT 4, which was also tested in the same evaluations. A panel of experts qualified the proposed new practices and surprisingly generated divergent outcomes through quantitative and qualitative methods. In the Extreme Users methodology, Human results predominantly won, with 62.5% of the insights originating from people vs. 37.5% from ChatGPT 4. In contrast, in the Parallel Universe experiment, two of the three conclusions that were selected by a panel of experts were constructed by Generative AI. At the same time, only one was created by humans. Combining the two approaches leverages creativity and problem-solving by giving new insights that can be complemented or matched with human perceptions, making the process more empathetic for users and efficient for designers, creators, engineers, or any Design Thinking enthusiast.
546 $a English
590 $a School code: 7029
650 4 $a Innovations. $3 754112
650 4 $a Empathy. $3 532108
650 4 $a User needs. $3 3682501
650 4 $a Human-computer interaction. $3 560071
650 4 $a Emotions. $3 524569
650 4 $a Large language models. $3 3775019
650 4 $a Decision making. $3 517204
650 4 $a Information science. $3 554358
653 $a Design thinking
653 $a Problem-solving
690 $a 0723
690 $a 0800
710 2 $a Universidade NOVA de Lisboa (Portugal). $e degree granting institution. $3 3767537
720 1 $a Victorino, Guilherme $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-06.
790 $a 7029
791 $a M.A.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31790147