Collecting and analysing multi-source video data: Grasping the opacity of smartphone use in face-to-face encounters
Avgustis, Iuliia; Oloff, Florence (2023-09-29)
Routledge
29.09.2023
Avgustis, I., & Oloff, F. (2023). Collecting and analysing multi-source video data. In P. Haddington, T. Eilittä, A. Kamunen, L. Kohonen-Aho, T. Oittinen, I. Rautiainen, & A. Vatanen (Eds.), Ethnomethodological Conversation Analysis in Motion (1st ed., pp. 85–110). Routledge. https://doi.org/10.4324/9781003424888-7
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024 the contributors. This is an Accepted Manuscript of a book chapter published by Routledge in Ethnomethodological Conversation Analysis in Motion: Emerging Methods and New Technologies on 29 September 2023, available online: https://doi.org/10.4324/9781003424888-7. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024 the contributors. This is an Accepted Manuscript of a book chapter published by Routledge in Ethnomethodological Conversation Analysis in Motion: Emerging Methods and New Technologies on 29 September 2023, available online: https://doi.org/10.4324/9781003424888-7. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
https://creativecommons.org/licenses/by-nc-nd/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202504022391
https://urn.fi/URN:NBN:fi:oulu-202504022391
Tiivistelmä
Abstract
The ubiquity of smartphones has been recognised within conversation analysis as having an impact on conversational structures and on the participants’ interactional involvement. However, most of the previous studies have relied exclusively on video recordings of overall encounters and have not systematically considered what is taking place on the device. Due to the personal nature of smartphones and their small displays, onscreen activities are of limited visibility and are thus potentially opaque for both the co-present participants (“participant opacity”) and the researchers (“analytical opacity”). While opacity can be an inherent feature of smartphones in general, analytical opacity might not be desirable for research purposes. This chapter discusses how a recording set-up consisting of static cameras, wearable cameras and dynamic screen captures allowed us to address the analytical opacity of mobile devices. Excerpts from multi-source video data of everyday encounters will illustrate how the combination of multiple perspectives can increase the visibility of interactional phenomena, reveal new analytical objects and improve analytical granularity. More specifically, these examples will emphasise the analytical advantages and challenges of a combined recording set-up with regard to smartphone use as multiactivity, the role of the affordances of the mobile device, and the prototypicality and “naturalness” of the recorded practices.
The ubiquity of smartphones has been recognised within conversation analysis as having an impact on conversational structures and on the participants’ interactional involvement. However, most of the previous studies have relied exclusively on video recordings of overall encounters and have not systematically considered what is taking place on the device. Due to the personal nature of smartphones and their small displays, onscreen activities are of limited visibility and are thus potentially opaque for both the co-present participants (“participant opacity”) and the researchers (“analytical opacity”). While opacity can be an inherent feature of smartphones in general, analytical opacity might not be desirable for research purposes. This chapter discusses how a recording set-up consisting of static cameras, wearable cameras and dynamic screen captures allowed us to address the analytical opacity of mobile devices. Excerpts from multi-source video data of everyday encounters will illustrate how the combination of multiple perspectives can increase the visibility of interactional phenomena, reveal new analytical objects and improve analytical granularity. More specifically, these examples will emphasise the analytical advantages and challenges of a combined recording set-up with regard to smartphone use as multiactivity, the role of the affordances of the mobile device, and the prototypicality and “naturalness” of the recorded practices.
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Ellei muuten mainita, aineiston lisenssi on https://creativecommons.org/licenses/by-nc-nd/4.0/