Comparing AI-assisted Audio Interviews to Textual Data from Mobile Diaries

Comparing AI-assisted Audio Interviews to Textual Data from Mobile Diaries

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Emerging technologies are challenging traditional paradigms of ethnographic enquiry in qualitative research. To understand how different modes of data collection and AI-assisted probing can affect participant responses, our qualitative experts conducted a study comparing mobile diaries using text-based entries versus AI-assisted voice interviews.

The study found that voice recording enhances respondent reflection and self-expression, while AI boosts probing consistency and scalability. These findings support emerging conversations around augmented ethnography and illustrate the potential for responsible, human-centred integration of AI in qualitative research.

The full research is published in the book Media, Communication & Socio-cultural processes, and was presented at the 10th Ethnography & Qualitative Research International Conference.

Read the full paper here (page 79).


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