Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • 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
Hello Trivia Friend: Understanding Human-Agent Dynamics Through Design Provocation
Umeå University, Faculty of Social Sciences, Department of Informatics.
Umeå University, Faculty of Social Sciences, Department of Informatics.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

 This study leverages a critical provocation design approach to examine user interactions with intelligent agents, specifically focusing on how non-conventional agent behaviours impact user perceptions. By embedding playful, challenging, and mischievous elements into the user experience, the research aims to uncover insights that traditional methods might miss. The experimental design involved participants interacting with a trivia game agent named Trivia Friend, which intentionally provided false feedback to provoke reactions and gain insights on user perceptions. Key findings highlight the emotional spectrum elicited by the agent’s behaviour, ranging from frustration and mistrust to amusement and engagement. The study reveals that user perceptions of fairness and communication style are influenced by the agent’s provocations. Furthermore, the research underscores the importance of managing user expectations. A provocative design can stimulate engagement. However, real world implementations of intelligent agents must be designed with fairness and transparency to ensure positive user experiences. The study calls for incorporating efforts towards emotional understanding, clear communication, and ethical considerations when implementing socially capable intelligent agents. This research contributes to the development of adaptive, user-friendly, and ethically sound intelligent AI based agents by offering valuable insights into the complex dynamics of human-agent interactions. 

Place, publisher, year, edition, pages
2024.
Series
Informatik Student Paper Master (INFSPM) ; 2024.11
Keywords [en]
Intelligent agents, human-agent interaction, design provocation, priming, user expectations, user perceptions, social dynamics, anthropomorphism
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-227163OAI: oai:DiVA.org:umu-227163DiVA, id: diva2:1877207
Educational program
Master's Programme in Human-Computer Interaction
Supervisors
Examiners
Available from: 2024-06-26 Created: 2024-06-25 Last updated: 2025-02-17Bibliographically approved

Open Access in DiVA

fulltext(1045 kB)148 downloads
File information
File name FULLTEXT01.pdfFile size 1045 kBChecksum SHA-512
b0c7176e5dd2bc80b1c8e7e2b65852bd3b31f0240d8feb30561b7ee0920a52488422202f6b290f0146365aef42e338624dc98bf49ab5eb6bfe1e6ad3be686b6c
Type fulltextMimetype application/pdf

By organisation
Department of Informatics
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 148 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: 747 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • 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