國立虎尾科技大學 |

Inspiring Mindful Consumption With Compassionate AI.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Inspiring Mindful Consumption With Compassionate AI./
Author:	Elizondo, David Michael.
Description:	1 online resource (65 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
Subject:	Home economics. -
Online resource:	click for full text (PQDT)
ISBN:	9798382752051

Inspiring Mindful Consumption With Compassionate AI.
Elizondo, David Michael.

Inspiring Mindful Consumption With Compassionate AI. - 1 online resource (65 pages)

Source: Masters Abstracts International, Volume: 85-11.

Thesis (M.B.A.)--San Diego State University, 2024.

Includes bibliographical references

In an age dominated by consumerism, the concept of mindful consumption offers a pathway to align consumer behavior with timeless ethical principles. This thesis explores how Compassionate Artificial Intelligence (CAI) systems could potentially catalyze such alignment. Leveraging AI's data analytics and predictive modeling capabilities, CAI adds layers of emotional intelligence to support the holistic well-being of users. We explore how such technology may be used to foster congruent consumption experiences that align actions with values and improve long-term quality of life. The research focuses on the potential for CAI to transparently nudge consumers toward mindful lifestyles through real-time, context-sensitive prompts about the social, environmental, and intrapersonal implications of their actions. The analysis addresses key concerns regarding the integration of such technology, investigating how CAI may be ethically and responsibly engineered to skillfully guide consumer behavior in service of all.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382752051Subjects--Topical Terms:

568501
Home economics.
Subjects--Index Terms:

Mindful consumptionIndex Terms--Genre/Form:

554714
Electronic books.

Inspiring Mindful Consumption With Compassionate AI.
LDR:02409ntm a22004217 4500 001 1148068
005 20240916070016.5
006 m o d
007 cr bn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382752051
035 $a (MiAaPQ)AAI31301222
035 $a AAI31301222
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Elizondo, David Michael. $3 1473952
245 1 0 $a Inspiring Mindful Consumption With Compassionate AI.
264 0 $c 2024
300 $a 1 online resource (65 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: 85-11.
500 $a Advisor: Honea, Heather.
502 $a Thesis (M.B.A.)--San Diego State University, 2024.
504 $a Includes bibliographical references
520 $a In an age dominated by consumerism, the concept of mindful consumption offers a pathway to align consumer behavior with timeless ethical principles. This thesis explores how Compassionate Artificial Intelligence (CAI) systems could potentially catalyze such alignment. Leveraging AI's data analytics and predictive modeling capabilities, CAI adds layers of emotional intelligence to support the holistic well-being of users. We explore how such technology may be used to foster congruent consumption experiences that align actions with values and improve long-term quality of life. The research focuses on the potential for CAI to transparently nudge consumers toward mindful lifestyles through real-time, context-sensitive prompts about the social, environmental, and intrapersonal implications of their actions. The analysis addresses key concerns regarding the integration of such technology, investigating how CAI may be ethically and responsibly engineered to skillfully guide consumer behavior in service of all.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Home economics. $3 568501
650 4 $a Computer science. $3 573171
653 $a Mindful consumption
653 $a Consumerism
653 $a Compassionate Artificial Intelligence
653 $a Consumer behavior
653 $a Machine learning
655 7 $a Electronic books. $2 local $3 554714
690 $a 0310
690 $a 0984
690 $a 0338
690 $a 0800
690 $a 0386
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a San Diego State University. $b Business Administration. $3 1180994
773 0 $t Masters Abstracts International $g 85-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31301222 $z click for full text (PQDT)