@phdthesis{Tran2022,
  type      = {Bachelor Thesis},
  author    = {Anh Huy Matthias Tran},
  title     = {Integration of a Logging Component into the STELLA Infrastructure},
  url       = {https://nbn-resolving.org/urn:nbn:de:hbz:79pbc-opus-19316},
  pages     = {41},
  year      = {2022},
  abstract  = {As a key part of human-computer interaction(HCI) and usability testing, the capturing and recording of key user interaction plays a center role for ensuring a reliable post-hoc analysis of collected user interaction data, thus improving the odds of insightful HCI and usability testing cycles for use cases such as the evaluation of interactive information retrieval Systems(IRR). As such, the practice of logging is of significant importance for multiple fields of study such as IIR, HCI and most recently also Living Lab approaches. Living lab approaches represent a user-centered research methodology with a focus on user involvement, experimental approaches and extensive collaboration for the sake of co-production of knowledge and as such, has a dire need for robust and easy to use logging solutions. With past logging solutions being either expensive, hard to use or error-prone, recent conferences gave rise to new logging solutions using contemporary web technologies, which aim to improve the logging landscape within the research community. Over the course of this paper, two of these recent logging solutions, LogUI and Big Brother, are to be inspected for their key features and then evaluated, whether they are suitable logging solutions for living lab and IIR environments. Results and research indicate, that both logging solutions offer significant benefits for research using living lab and IIR approaches, with LogUI embracing many of the experimental paradigms that guide the living lab approach.},
  language  = {en}
}