10.1145/3095806
https://zenodo.org/records/1167684
oai:zenodo.org:1167684
Aitor Apaolaza
Aitor Apaolaza
University of Manchester
Markel Vigo
Markel Vigo
University of Manchester
WevQuery: Testing Hypotheses about Web Interaction Patterns
Zenodo
2017
Hypothesis Testing
A/B Testing
User Interface Evaluation
Usability
Web
2017-06-30
eng
https://zenodo.org/communities/moving-h2020
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
Remotely stored user interaction logs, which give access to a wealth of data generated by large numbers of users, have been long used to understand if interactive systems meet the expectations of designers. Unfortunately, detailed insight into users' interaction behaviour still requires a high degree of expertise and domain specific knowledge. We present WevQuery, a scalable system to query user interaction logs in order to allow designers to test their hypotheses about users' behaviour. WevQuery supports this purpose using a graphical notation to define the interaction patterns designers are seeking. WevQuery is scalable as the queries can then be executed against large user interaction datasets by employing the MapReduce paradigm. This way WevQuery provides designers effortless access to harvest users' interaction patterns, removing the burden of low-level interaction data analysis. We present two scenarios to showcase the potential of WevQuery, from the design of the queries to their execution on real interaction data accounting for 5.7m events generated by 2,445 unique users.
European Commission
10.13039/501100000780
693092
Training towards a society of data-savvy information professionals to enable open leadership innovation