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Designing Clothing to Improve Human-...

Friedman, Natalie Victoria.

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Designing Clothing to Improve Human-Robot Interaction.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Designing Clothing to Improve Human-Robot Interaction./
Author:	Friedman, Natalie Victoria.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	222 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
Contained By:	Dissertations Abstracts International85-07B.
Subject:	Information science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30696600
ISBN:	9798381412925

Designing Clothing to Improve Human-Robot Interaction.
Friedman, Natalie Victoria.

Designing Clothing to Improve Human-Robot Interaction. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 222 p.

Source: Dissertations Abstracts International, Volume: 85-07, Section: B.

Thesis (Ph.D.)--Cornell University, 2023.

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

Robots often do not fit seamlessly into the social environments in which people position them. This research focuses on using clothing as a new interface for robots to improve Human-Robot Interaction (HRI). Clothing goes beyond mere aesthetics; it can make us more adaptable and fit in with the surrounding social atmosphere. I propose a theoretical framework and evaluate it with practice-oriented methods, like Reflection in action in an agriculture setting, and expert interviews about current design practices. By using these Research through Design methods, I uncover the ways in which clothing can improve human-robot interaction. Through these projects, I demonstrate how the theoretical framework could be relevant to concrete design processes. This is the first work to present a mixed-methods approach to studying clothing for robots. This research provides insights to future designers into methods for them to assess clothing for robots.

ISBN: 9798381412925Subjects--Topical Terms:

554358
Information science.
Subjects--Index Terms:

Clothes

Designing Clothing to Improve Human-Robot Interaction.
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100 1 $a Friedman, Natalie Victoria. $0 (orcid)0000-0003-4751-7739 $3 3764105
245 1 0 $a Designing Clothing to Improve Human-Robot Interaction.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 222 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
500 $a Advisor: Ju, Wendy.
502 $a Thesis (Ph.D.)--Cornell University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a Robots often do not fit seamlessly into the social environments in which people position them. This research focuses on using clothing as a new interface for robots to improve Human-Robot Interaction (HRI). Clothing goes beyond mere aesthetics; it can make us more adaptable and fit in with the surrounding social atmosphere. I propose a theoretical framework and evaluate it with practice-oriented methods, like Reflection in action in an agriculture setting, and expert interviews about current design practices. By using these Research through Design methods, I uncover the ways in which clothing can improve human-robot interaction. Through these projects, I demonstrate how the theoretical framework could be relevant to concrete design processes. This is the first work to present a mixed-methods approach to studying clothing for robots. This research provides insights to future designers into methods for them to assess clothing for robots.
590 $a School code: 0058.
650 4 $a Information science. $3 554358
650 4 $a Technical communication. $3 3172863
650 4 $a Textile research. $3 2153103
650 4 $a Robotics. $3 519753
653 $a Clothes
653 $a Fashion
653 $a Human-computer interaction
653 $a Human-robot interaction
653 $a Textiles
690 $a 0723
690 $a 0643
690 $a 0994
690 $a 0771
710 2 $a Cornell University. $b Information Science. $3 3178830
773 0 $t Dissertations Abstracts International $g 85-07B.
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791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30696600