@article{SeufertSchroederSeufert2021,
  author    = {Seufert, Anika and Schr{\"o}der, Svenja and Seufert, Michael},
  title     = {Delivering User Experience over Networks: Towards a Quality of Experience Centered Design Cycle for Improved Design of Networked Applications},
  series = {SN Computer Science},
  volume    = {2},
  journal   = {SN Computer Science},
  number    = {6},
  issn      = {2661-8907},
  doi       = {10.1007/s42979-021-00851-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-271762},
  year      = {2021},
  abstract  = {To deliver the best user experience (UX), the human-centered design cycle (HCDC) serves as a well-established guideline to application developers. However, it does not yet cover network-specific requirements, which become increasingly crucial, as most applications deliver experience over the Internet. The missing network-centric view is provided by Quality of Experience (QoE), which could team up with UX towards an improved overall experience. By considering QoE aspects during the development process, it can be achieved that applications become network-aware by design. In this paper, the Quality of Experience Centered Design Cycle (QoE-CDC) is proposed, which provides guidelines on how to design applications with respect to network-specific requirements and QoE. Its practical value is showcased for popular application types and validated by outlining the design of a new smartphone application. We show that combining HCDC and QoE-CDC will result in an application design, which reaches a high UX and avoids QoE degradation.},
  language  = {en}
}
@article{WinterPryssProbstetal.2021,
  author    = {Winter, Michael and Pryss, R{\"u}diger and Probst, Thomas and Reichert, Manfred},
  title     = {Applying Eye Movement Modeling Examples to guide novices' attention in the comprehension of process models},
  series = {Brain Sciences},
  volume    = {11},
  journal   = {Brain Sciences},
  number    = {1},
  issn      = {2076-3425},
  doi       = {10.3390/brainsci11010072},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222966},
  year      = {2021},
  abstract  = {Process models are crucial artifacts in many domains, and hence, their proper comprehension is of importance. Process models mediate a plethora of aspects that are needed to be comprehended correctly. Novices especially face difficulties in the comprehension of process models, since the correct comprehension of such models requires process modeling expertise and visual observation capabilities to interpret these models correctly. Research from other domains demonstrated that the visual observation capabilities of experts can be conveyed to novices. In order to evaluate the latter in the context of process model comprehension, this paper presents the results from ongoing research, in which gaze data from experts are used as Eye Movement Modeling Examples (EMMEs) to convey visual observation capabilities to novices. Compared to prior results, the application of EMMEs improves process model comprehension significantly for novices. Novices achieved in some cases similar performances in process model comprehension to experts. The study's insights highlight the positive effect of EMMEs on fostering the comprehension of process models.},
  language  = {en}
}