Hello Trivia Friend: Understanding Human-Agent Dynamics Through Design Provocation
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student 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
2024-06-262024-06-252025-02-17Bibliographically approved