Digitala Vetenskapliga Arkivet

Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Exploring Empathy in Human - Chatbot interactions: Addressing, Verbal Abuse, and Gender Dynamics
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datalogi.
2024 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
Abstract [en]

This study was conducted to investigate the empathy between human chatbot interactions amongcomputer science students at Uppsala University, Sweden. This was done by exploring howparticipants perceive anthropomorphic chatbots as machines or humans, the existence of verbalabuse during human chatbot interactions, and the expectation of chatbot helpfulness dependingon gender dynamics. A semi-structured interview methodology with five students was conductedfor qualitative data collection. The collected data was manually analyzed using thematic analysis.The results of this study found that there is empathy in human chatbot interaction, regardless ofwhether participants perceive anthropomorphic chatbots as humans or machines. However, thelevel of empathy is generally low as participants frustrate when they are dissatisfied with theresponse of chatbots and exit the chatbots without expressing their frustration, and they usuallyforget their frustration and come again with other questions another time. The study also showsthat participants might expect more help and politeness if chatbots are more likely to be female.

sted, utgiver, år, opplag, sider
2024. , s. 53
Serie
IT ; IT mDV 24 001
Emneord [en]
Anthropomorphic chatbot, AI, Empathy, Verbal abuse
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-524120OAI: oai:DiVA.org:uu-524120DiVA, id: diva2:1841502
Utdanningsprogram
Master Programme in Computer Science
Presentation
2024-02-26, https://uu-se.zoom.us/j/62246710831, Online, Uppsala, 14:15 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2024-03-04 Laget: 2024-02-28 Sist oppdatert: 2024-03-04bibliografisk kontrollert

Open Access i DiVA

fulltext(371 kB)799 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 371 kBChecksum SHA-512
832f2618f48638410a1fc6bffd2384bb70452fc66e685b71259dd5b0a1347af996f39cfbda924143dbb9ed7bd7e4d75528ebd01f9e4d6e411f43aeaf6424d314
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 803 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 959 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf