mlsanityData to 7 Oct 2026

Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptions

arXiv 2308.04879 ↗First posted 9 Aug 2023cs.HC cs.CLcited by 8

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Abstract (arXiv)

Chatbots are capable of remembering and referencing previous conversations, but does this enhance user engagement or infringe on privacy? To explore this trade-off, we investigated the format of how a chatbot references previous conversations with a user and its effects on a user's perceptions and privacy concerns. In a three-week longitudinal between-subjects study, 169 participants talked about their dental flossing habits to a chatbot that either, (1-None): did not explicitly reference previous user utterances, (2-Verbatim): referenced previous utterances verbatim, or (3-Paraphrase): used paraphrases to reference previous utterances. Participants perceived Verbatim and Paraphrase chatbots as more intelligent and engaging. However, the Verbatim chatbot also raised privacy concerns with participants. To gain insights as to why people prefer certain conditions or had privacy concerns, we conducted semi-structured interviews with 15 participants. We discuss implications from our findings that can help designers choose an appropriate format to reference previous user utterances and inform in the design of longitudinal dialogue scripting.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 13 of its 81 references that are in the map. First posted on arXiv 9 Aug 2023.

Builds on

13 of 81 references.

References · 13

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  2. 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 266
  3. 2022Long Time No See! Open-Domain Conversation with Long-Term Persona Memorycited by 107
  4. 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 62
  5. 2019How should my chatbot interact? A survey on human-chatbot interaction designcited by 56
  6. 2020Conceptual Metaphors Impact Perceptions of Human-AI Collaborationcited by 47
  7. 2020If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skillscited by 20
  8. 2022UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Librarycited by 20
  9. 2019Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questionscited by 16
  10. 2019CAiRE: An Empathetic Neural Chatbotcited by 14
  11. 2021Chatbots language design: the influence of language variation on user experiencecited by 4
  12. 2020Simulating the Effects of Social Presence on Trust, Privacy Concerns & Usage Intentions in Automated Bots for Financecited by 3
1 more
  1. 2022Ignorance is Bliss? The Effect of Explanations on Perceptions of Voice Assistantscited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 2; 2026: 4.

8 papers.