Refine
Document Type
- Part of a Book (2)
- Article (1)
Has Fulltext
- yes (3)
Is part of the Bibliography
- yes (3)
Keywords
- data analysis (3) (remove)
Publicationstate
- Veröffentlichungsversion (2)
- Postprint (1)
- Zweitveröffentlichung (1)
Reviewstate
- (Verlags)-Lektorat (2)
- Peer-Review (1)
Publisher
- Buro van die WAT (1)
- De Gruyter (1)
- Routledge (1)
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.
We present ESDexplorer (https://owid.shinyapps.io/ESDexplorer), a browser application which allows the user to explore the data from a large European survey on dictionary use and culture. We built ESDexplorer with several target groups in mind: our cooperation partners, other researchers, and a more general public interested in the results. Also, we present in detail the architecture and technological realisation of the application and discuss some legal aspects of data protection that motivated some architectural choices.
This chapter summarizes the typical steps of an empirical investigation. Every step is illustrated using examples from our research project into online dictionary use or other relevant studies. This chapter does not claim to contain anything new, but presents a brief guideline for lexicographical researchers who are interested in conducting their own empirical research.