“I Don't Want to be Pitied by a Bot”: Understand How to Design Chatbots to Support People Being Ghosted on Dating Applications
Open accessAbstract
Experiencing ghosting on dating applications is a pervasive yet challenging aspect of modern dating. Since without explanations for relationship closure, ghostees often feel rejected and find it difficult to move on. Recent advancements in chatbot show the potential to assist individuals in navigating emotionally taxing situations. However, how chatbots could be used to help ghostees remains unclear. To understand how to design ghostee-helping chatbots, nine scenario-based interviews with a conceptual chatbot prototype were conducted. From the interviews, five themes and five design implications for chatbots were identified: 1) provide proactive and sustained care; 2) communicate with a positive tone, non-judgmental attitude, and informal language; 3) help establish facts about online dating and practical communication skills for online relationship building; 4) divert attention away from dating situations and reconnect with tangible reality; and 5) ensure the confidentiality of conversations and respect the ownership of conversation data.
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The only conceptual study included evaluated the design of a potential future AI chatbot aiming to help online daters in Taiwan who struggle with being 'ghosted'.
“The only conceptual study included evaluated the design of a potential future AI chatbot aiming to help online daters in Taiwan who struggle with the experience of being “ghosted”, i.e. being abruptly ignored by a dating partner without explanation [66].”
From The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024 (2024) · cites this paper as [66]
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Cited by
Sorted by citations
The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024
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Self-citation
- Authors
- Wang, C.-L., & Tseng, Y.-C.
- Affiliations
- National Tsing Hua University (TW)
- Venue
- Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2024-05-02
- Pages
- 1-8
- OpenAlex
- W4396832794
- Cited by
- 6
- References
- 25
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1
- FWCI
- 4.03
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- Funders
- National Science and Technology Council (109-2223-E-007 -001 -MY3, 112-2221-E-007 -076 -MY3)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- ghosting, dating apps, chatbot design, online dating, rejection, emotional support, chatbot prototype, confidentiality, data ownership, relationship building
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