Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions
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Abstract (arXiv)
The rise of increasingly more powerful chatbots offers a new way to collect information through conversational surveys, where a chatbot asks open-ended questions, interprets a user's free-text responses, and probes answers whenever needed. To investigate the effectiveness and limitations of such a chatbot in conducting surveys, we conducted a field study involving about 600 participants. In this study with mostly open-ended questions, half of the participants took a typical online survey on Qualtrics and the other half interacted with an AI-powered chatbot to complete a conversational survey. Our detailed analysis of over 5200 free-text responses revealed that the chatbot drove a significantly higher level of participant engagement and elicited significantly better quality responses measured by Gricean Maxims in terms of their informativeness, relevance, specificity, and clarity. Based on our results, we discuss design implications for creating AI-powered chatbots to conduct effective surveys and beyond.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 May 2019.
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Citing papers per year: 2022: 1; 2023: 7; 2024: 2; 2025: 4; 2026: 2.
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- 2023Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Datacited by 48
- 2023ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactionscited by 22
- 2022What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveyscited by 13
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 13
- 2023Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptionscited by 8
- 2023Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbotcited by 5
- 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experimentscited by 4
- 2025Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphscited by 4
- 2026Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agentscited by 4
- 2024Cognitive Spillover in Human-AI Teamscited by 3
- 2025Interview AI-ssistant: Designing for Real-Time Human-AI Collaboration in Interview Preparation and Executioncited by 2
- 2023Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Modelcited by 1
4 more
- 2025Talking Surveys: How Photorealistic Embodied Conversational Agents Shape Response Quality, Engagement, and Satisfactioncited by 1
- 2026Interview-Informed Generative Agents for Product Discovery: A Validation Studycited by 1
- 2023Examining the Effectiveness of Chatbots in Gathering Family History Information in Comparison to the Standard In-Person Interview-Based Approachcited by 0
- 2025VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communicationcited by 0
- 2026Interview-Informed Generative Agents for Product Discovery: A Validation Study10 Mar 2026
- 2026Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents1 Feb 2026
- 2025Talking Surveys: How Photorealistic Embodied Conversational Agents Shape Response Quality, Engagement, and Satisfaction4 Aug 2025
- 2025VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication10 Mar 2025
- 2025Interview AI-ssistant: Designing for Real-Time Human-AI Collaboration in Interview Preparation and Execution3 Mar 2025
- 2025Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs9 Feb 2025
- 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments10 Jul 2024
- 2024Cognitive Spillover in Human-AI Teams3 Jul 2024
- 2023ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactions2 Oct 2023
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence24 Sep 2023
- 2023Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model17 Sep 2023
- 2023Examining the Effectiveness of Chatbots in Gathering Family History Information in Comparison to the Standard In-Person Interview-Based Approach1 Sep 2023
4 more
- 2023Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptions9 Aug 2023
- 2023Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot2 Feb 2023
- 2023Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data14 Jan 2023
- 2022What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys23 May 2022
- 2023ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactionscited by 22
- 2026Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agentscited by 4
- 2025Talking Surveys: How Photorealistic Embodied Conversational Agents Shape Response Quality, Engagement, and Satisfactioncited by 1
- 2026Interview-Informed Generative Agents for Product Discovery: A Validation Studycited by 1
- 2026Interview-Informed Generative Agents for Product Discovery: A Validation Study10 Mar 2026
- 2026Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents1 Feb 2026
- 2025Talking Surveys: How Photorealistic Embodied Conversational Agents Shape Response Quality, Engagement, and Satisfaction4 Aug 2025
- 2023ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactions2 Oct 2023
- 2023Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Datacited by 48
- 2022What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveyscited by 13
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 13
- 2023Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptionscited by 8
- 2023Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbotcited by 5
- 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experimentscited by 4
- 2025Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphscited by 4
- 2024Cognitive Spillover in Human-AI Teamscited by 3
- 2025Interview AI-ssistant: Designing for Real-Time Human-AI Collaboration in Interview Preparation and Executioncited by 2
- 2023Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Modelcited by 1
- 2023Examining the Effectiveness of Chatbots in Gathering Family History Information in Comparison to the Standard In-Person Interview-Based Approachcited by 0
- 2025VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communicationcited by 0
- 2025VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication10 Mar 2025
- 2025Interview AI-ssistant: Designing for Real-Time Human-AI Collaboration in Interview Preparation and Execution3 Mar 2025
- 2025Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs9 Feb 2025
- 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments10 Jul 2024
- 2024Cognitive Spillover in Human-AI Teams3 Jul 2024
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence24 Sep 2023
- 2023Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model17 Sep 2023
- 2023Examining the Effectiveness of Chatbots in Gathering Family History Information in Comparison to the Standard In-Person Interview-Based Approach1 Sep 2023
- 2023Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptions9 Aug 2023
- 2023Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot2 Feb 2023
- 2023Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data14 Jan 2023
- 2022What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys23 May 2022