How to enhance web survey data using metered, geolocation, visual and voice data?
After briefly summarizing why there is a need to enhance web survey data, this paper explains how metered, geolocation, visual and voice data could help to supplement conventional web survey data, particularly when mobile participation is high. It presents expected benefits of these four data types...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/60438 |
| Acceso en línea: | http://hdl.handle.net/10230/60438 http://dx.doi.org/10.18148/srm/2022.v16i1.8013 |
| Access Level: | acceso abierto |
| Palabra clave: | Geolocation Measurement Metered data (Mobile) Web surveys Visual data Voice recording Data quality |
| Sumario: | After briefly summarizing why there is a need to enhance web survey data, this paper explains how metered, geolocation, visual and voice data could help to supplement conventional web survey data, particularly when mobile participation is high. It presents expected benefits of these four data types in terms of respondents’ burden, data quality and possible new insights, as well as a number of expected disadvantages, both on the respondents’ and researchers’ sides. Finally, the paper discusses what is still missing and the next steps to turn these newopportunities into realities. |
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