kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Stereotypes in social robots: How accents & appearances in social robots affect human-robot interactions.
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS).
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Stereotypes are affecting our daily lives. From the interactions between human beings to political decisions from law makers, stereotypes are part of our subconscious tools of perception. While being a common denominator in many worldwide organizations’ target goals, including the United Nations’ Sustainable Development Goals, many kinds of stereotypes are present and remain a hot topic in discussions. On another front, as artificial intelligence is on the rise, social robots are improving, and they are becoming increasingly relevant to different industries as of today. As social robots are intended to interact directly with people, and are often designed to emulate human beings, questions arise on how these designs should be made to make interactions with people as smooth and successful as possible. In this study we investigated if stereotypes are applicable in human-robot interaction. Contrary to our original belief we found no significant evidence of stereotypes in interactions with robots.

Abstract [sv]

Stereotyper påverkar våra dagliga liv. Från interaktioner mellan människor till politiska beslut från lagstiftare, är stereotyper en del av våra undermedvetna verktyg för perception. Medan de utgör en gemensam nämnare för många globala organisationers mål, inklusive Förenta nationernas hållbara utvecklingsmål, finns det många typer av stereotyper som är närvarande och fortfarande ett hett diskussionsämne. På en annan front, i takt med att artificiell intelligens blir alltmer framträdande och sociala robotar förbättras, blir de alltmer relevanta inom olika branscher idag. Eftersom sociala robotar är avsedda att interagera direkt med människor och ofta är utformade för att efterlikna människor, väcks frågor om hur deras design ska göras för att göra interaktioner med människor så smidiga och framgångsrika som möjligt. I denna studie undersökte vi om stereotyper är tillämpliga i mänsklig-robotinteraktion. Till vår överraskning fann vi inga signifikanta bevis för stereotyper i interaktioner med robotar.

Place, publisher, year, edition, pages
2023. , p. 11
Series
TRITA-EECS-EX ; 2023:463
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-331921OAI: oai:DiVA.org:kth-331921DiVA, id: diva2:1782679
Supervisors
Examiners
Available from: 2023-08-02 Created: 2023-07-15 Last updated: 2023-08-02Bibliographically approved

Open Access in DiVA

fulltext(1012 kB)207 downloads
File information
File name FULLTEXT01.pdfFile size 1012 kBChecksum SHA-512
e69a21984480f4f2b90ab0e016e6176178b21a83975fd6c585f3f128271ae287585cdb1587b2994aa9c38cd7a7ec8e73a2a19587406d9a9730552b7c1aa6ead3
Type fulltextMimetype application/pdf

By organisation
School of Electrical Engineering and Computer Science (EECS)
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 208 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 587 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf