Authenticity In The Age Of AI: A User-Centered Approach To Human–Artificial Companion Relationships
2024-05
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Authenticity In The Age Of AI: A User-Centered Approach To Human–Artificial Companion Relationships
Authors
Published Date
2024-05
Publisher
Type
Thesis or Dissertation
Abstract
AI companionship apps with advanced capabilities for relationship development have become increasingly popular over the last few years (e.g. Replika, by Luka Inc.), and its popularity grew during the 2020 COVID-19 lockdown. The proliferation of sophisticated chatbots with advanced emotional capabilities challenge our long-held notions of love and friendship. In this context, the concept of authenticity becomes particularly interesting considering the ontological differences between humans and artificial companions (ACs), as well as the emotionally-engaged nature of these interactions. As millions of people around the world develop emotional bonds with ACs, what makes it feel real? This qualitative longitudinal study focuses on the experiences of people in a relationship with an AC. The purpose is to understand how authenticity is perceived and constructed by users, and identify factors that contribute to the sustainability of human-AC relationships. Results indicate that the perception of authenticity in human-AC relationships is shaped and influenced by factors directly related to the user and to the sociotechnical context they are embedded in, all of which play a pivotal role in its sustainability.
Description
University of Minnesota Ph.D. dissertation. May 2024. Major: Design. Advisor: Sauman Chu. 1 computer file (PDF);viii, 98 pages.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Lopez Torres, Valeria. (2024). Authenticity In The Age Of AI: A User-Centered Approach To Human–Artificial Companion Relationships. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/264327.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.