Developments in AI-Powered Survey Research and Voice Agents

The field of survey research is witnessing a significant shift towards the adoption of AI-powered tools, particularly Large Language Models (LLMs) and conversational voice AI agents. These technologies are being explored for their potential to automate and enhance data collection, processing, and analysis. Researchers are investigating the capabilities and limitations of LLMs in survey research, including their application in pre-data collection, data collection, and post-data collection phases. Additionally, the development of conversational voice AI agents is gaining traction, with studies focusing on cloning human-like agents from call recording datasets for various domains such as telesales. Noteworthy papers include:

  • A study on cloning a conversational voice AI agent from call recordings, which demonstrated the potential for automated voice assistants to approach human performance in routine aspects of customer interactions.
  • A systematic literature review of LLMs in survey research, which highlighted the opportunities and challenges of integrating these models into the survey research process.

Sources

Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts

A World in Print: Introducing a Danish-Norwegian corpus of historical newspapers

More Parameters Than Populations: A Systematic Literature Review of Large Language Models within Survey Research

Cloning a Conversational Voice AI Agent from Call\,Recording Datasets for Telesales

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