![]() In this work, we address this question by proposing an automated approach for a real-world case study and compare it to manual coding. In order to mitigate these issues, computer vision (CV) and machine learning (ML) techniques could be used to automate observational coding, but little work has focused on analysing the feasibility of such an approach, with the goal of reducing the total coding time while maintaining accuracy. Moreover, most of these tools lack automation, requiring intense human interaction. There are some tools that can alleviate the burden of observational coding, like those that help to collect and organise data, but can still be error-prone and time-consuming. ![]() The technique can help researchers inform the design and impact of, for example, an Ubicomp system by studying specific behaviours of interest. The coding of observational data is commonly used to analyse and evaluate human behaviours.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |