publication . Article . 2017

Testing Hypotheses about Web Interaction Patterns

Aitor Apaolaza; Markel Vigo;
Open Access English
  • Published: 30 Jun 2017
  • Country: Switzerland
Abstract
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 agai...
Subjects
free text keywords: Hypothesis Testing, A/B Testing, User Interface Evaluation, Usability, Web, Statistical hypothesis testing, Computer science, computer.software_genre, computer, Specific knowledge, World Wide Web, Interactive systems engineering, business.industry, business, Notation, Human–computer interaction, Scalability, Web interaction
Related Organizations
Funded by
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Article . 2017

Testing Hypotheses about Web Interaction Patterns

Aitor Apaolaza; Markel Vigo;