#3432. Can intelligent agents improve data quality in online questiosnnaires? A pilot study

July 2026publication date
Proposal available till 24-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Experimental and Cognitive Psychology;
Arts and Humanities (miscellaneous);
Psychology (miscellaneous);
Developmental and Educational Psychology;
Psychology (all);
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Abstract:
We explored the utility of chatbots for improving data quality arising from collection via sonline surveys. The questionnaire comprised validated measures, along with challenge items formulated to be confusing yet aligned with the validated targets. Chatbot use and user satisfaction were measured through session logs and user feedback. Data quality was operationalized as between-group differences in relationships among validated and challenge measures. Findings broadly supported chatbot utility for online surveys, showing that most participants with chatbot access utilized it, found it helpful, and demonstrated modestly improved data quality. Findings show that assistive chatbots can enhance data quality, will be utilized by many participants if available, and are perceived as beneficial by most users. Scope constraints for this pilot study are believed to have led to underestimated effects.
Keywords:
autonomous conversational agent; chatbot; data quality; online survey research; questionnaire item confusion; response accuracy

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