How Does Video Interviewing Affect the Interviewers’ and Respondents’ Paralinguistic Behaviors? A First Exploration

Video interviews have been gradually adopted by survey organizations as an alternative to in-person interviews as a mode of data collection. Recent studies have shown that video and in-person interviews elicited similar levels of respondents’ rapport with interviewers and similar quality data. However, little is known about whether the presence and prevalence of interviewer and respondent paralinguistic behaviors, e.g., disfluencies such as “uh” and “um” or laughter, vary between the two modes, and when they do, how might this affect survey outcomes? To address these questions, we coded the presence of six paralinguistic behaviors in 710 question-answer (Q-A) sequences in 15 in-person interviews and 12 video interviews conducted by professional survey interviewers in a laboratory experiment. Most of the paralinguistic behaviors occurred equally often in the two interviewing modes except laughter which was significantly more prevalent in video than in-person interviews. We attributed the increased laughter in video interviews as a nervous response to greater communication difficulties in that mode. Nonetheless, this did not differentially impact the prevalence of respondents’ adequate responses, indicating (indirectly) that data quality was equivalent in the two modes. These findings bolster the emerging narrative that when interviewed via video, respondents’ experience and their answers are very similar to when they are interviewed in person.

Institutions

Publication Details

Journal
UBMA
Published
2025-04-01
DOI
https://doi.org/10.25521/mda.581
Primary Topic
Survey Methodology and Nonresponse
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Does Video Interviewing Affect the Interviewers’ and Respondents’ Paralinguistic Behaviors? A First Exploration

UBMA
Survey Methodology and Nonresponse
article

How Does Video Interviewing Affect the Interviewers’ and Respondents’ Paralinguistic Behaviors? A First Exploration

article en

Abstract

Video interviews have been gradually adopted by survey organizations as an alternative to in-person interviews as a mode of data collection. Recent studies have shown that video and in-person interviews elicited similar levels of respondents’ rapport with interviewers and similar quality data. However, little is known about whether the presence and prevalence of interviewer and respondent paralinguistic behaviors, e.g., disfluencies such as “uh” and “um” or laughter, vary between the two modes, and when they do, how might this affect survey outcomes? To address these questions, we coded the presence of six paralinguistic behaviors in 710 question-answer (Q-A) sequences in 15 in-person interviews and 12 video interviews conducted by professional survey interviewers in a laboratory experiment. Most of the paralinguistic behaviors occurred equally often in the two interviewing modes except laughter which was significantly more prevalent in video than in-person interviews. We attributed the increased laughter in video interviews as a nervous response to greater communication difficulties in that mode. Nonetheless, this did not differentially impact the prevalence of respondents’ adequate responses, indicating (indirectly) that data quality was equivalent in the two modes. These findings bolster the emerging narrative that when interviewed via video, respondents’ experience and their answers are very similar to when they are interviewed in person.

UBMA
Westat (United States) (US), University of Michigan (US)
Openalex Percentile: Top 32%
Survey Methodology and Nonresponse
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.