Skills, availability, willingness, expected participation and burden of sharing visual data within the frame of web surveys

Patricia A. Iglesias () and Melanie Revilla
Additional contact information
Patricia A. Iglesias: Universitat Pompeu Fabra
Melanie Revilla: Universitat Pompeu Fabra

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 2, No 3, 1092 pages

Abstract: Abstract Although there is literature on the willingness to share visual data in the frame of web surveys and the actual participation when asked to do so, no research has investigated the skills of the participants to create and share visual data and the availability of such data, along with the willingness to share them. Furthermore, information on the burden associated with answering conventional questions and performing visual data-related tasks is also scarce. Our paper aims to fill those gaps, considering images and videos, smartphones and PCs, and visual data created before and during the survey. Results from a survey conducted among internet users in Spain (N = 857) show that most respondents know how to perform the studied tasks on their smartphone, while a lower proportion knows how to do them on their PC. Also, respondents mainly store images of landscapes and activities on their smartphone, and their availability to create visual data during the survey is high when answering from home. Furthermore, more than half of the participants are willing to share visual data. When analyzing the three dimensions together, the highest expected participation is observed for visual data created during the survey with the smartphone, which also results in a lower perception of burden. Moreover, older and lower educated respondents are less likely to capture and share visual data. Overall, asking for visual data seems feasible especially when collected during the survey with the smartphone. However, researchers should reflect on whether the expected benefits outweigh the expected drawbacks on a case-by-case basis.

Keywords: Availability; Burden; Skills; Visual data capture; (mobile) web surveys; Willingness (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11135-023-01670-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:58:y:2024:i:2:d:10.1007_s11135-023-01670-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-023-01670-3

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().