mlsanityData to 7 Oct 2026

Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot

arXiv 2302.00832 ↗First posted 2 Feb 2023cs.HC cs.AIcited by 5

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Abstract (arXiv)

Informed consent is a core cornerstone of ethics in human subject research. Through the informed consent process, participants learn about the study procedure, benefits, risks, and more to make an informed decision. However, recent studies showed that current practices might lead to uninformed decisions and expose participants to unknown risks, especially in online studies. Without the researcher's presence and guidance, online participants must read a lengthy form on their own with no answers to their questions. In this paper, we examined the role of an AI-powered chatbot in improving informed consent online. By comparing the chatbot with form-based interaction, we found the chatbot improved consent form reading, promoted participants' feelings of agency, and closed the power gap between the participant and the researcher. Our exploratory analysis further revealed the altered power dynamic might eventually benefit study response quality. We discussed design implications for creating AI-powered chatbots to offer effective informed consent in broader settings.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 8 of its 91 references that are in the map. First posted on arXiv 2 Feb 2023.

Builds on

8 of 91 references.

References · 8

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 951
  4. 2019DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generationcited by 842
  5. 2020If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skillscited by 20
  6. 2019Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questionscited by 16
  7. 2022What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveyscited by 13
  8. 2023Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Accesscited by 9

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 3.

5 papers.

  1. 2023ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactionscited by 22
  2. 2024Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seekingcited by 13
  3. 2023Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?cited by 6
  4. 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experimentscited by 4
  5. 2024AccessShare: Co-designing Data Access and Sharing with Blind Peoplecited by 0