TY  - JOUR
A1  - Borchert, Kathrin
A1  - Seufert, Anika
A1  - Gamboa, Edwin
A1  - Hirth, Matthias
A1  - Hoßfeld, Tobias
T1  - In Vitro vs In Vivo: Does the Study's Interface Design Influence Crowdsourced Video QoE?
JF  - Quality and User Experience
N2  - Evaluating the Quality of Experience (QoE) of video streaming and its influence factors has become paramount for streaming providers, as they want to maintain high satisfaction for their customers. In this context, crowdsourced user studies became a valuable tool to evaluate different factors which can affect the perceived user experience on a large scale. In general, most of these crowdsourcing studies either use, what we refer to, as an in vivo or an in vitro interface design. In vivo design means that the study participant has to rate the QoE of a video that is embedded in an application similar to a real streaming service, e.g., YouTube or Netflix. In vitro design refers to a setting, in which the video stream is separated from a specific service and thus, the video plays on a plain background. Although these interface designs vary widely, the results are often compared and generalized. In this work, we use a crowdsourcing study to investigate the influence of three interface design alternatives, an in vitro and two in vivo designs with different levels of interactiveness, on the perceived video QoE. Contrary to our expectations, the results indicate that there is no significant influence of the study’s interface design in general on the video experience. Furthermore, we found that the in vivo design does not reduce the test takers’ attentiveness. However, we observed that participants who interacted with the test interface reported a higher video QoE than other groups.
KW  - video QoE
KW  - crowdsourcing
KW  - study design
KW  - user study
KW  - distraction
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-235586
SN  - 2366-0139
VL  - 6
ER  - 
TY  - JOUR
A1  - Kraft, Robin
A1  - Schlee, Winfried
A1  - Stach, Michael
A1  - Reichert, Manfred
A1  - Langguth, Berthold
A1  - Baumeister, Harald
A1  - Probst, Thomas
A1  - Hannemann, Ronny
A1  - Pryss, Rüdiger
T1  - Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain
JF  - Frontiers in Neuroscience
N2  - The increasing prevalence of smart mobile devices (e.g., smartphones) enables the combined use of mobile crowdsensing (MCS) and ecological momentary assessments (EMA) in the healthcare domain. By correlating qualitative longitudinal and ecologically valid EMA assessment data sets with sensor measurements in mobile apps, new valuable insights about patients (e.g., humans who suffer from chronic diseases) can be gained. However, there are numerous conceptual, architectural and technical, as well as legal challenges when implementing a respective software solution. Therefore, the work at hand (1) identifies these challenges, (2) derives respective recommendations, and (3) proposes a reference architecture for a MCS-EMA-platform addressing the defined recommendations. The required insights to propose the reference architecture were gained in several large-scale mHealth crowdsensing studies running for many years and different healthcare questions. To mention only two examples, we are running crowdsensing studies on questions for the tinnitus chronic disorder or psychological stress. We consider the proposed reference architecture and the identified challenges and recommendations as a contribution in two respects. First, they enable other researchers to align our practical studies with a baseline setting that can satisfy the variously revealed insights. Second, they are a proper basis to better compare data that was gathered using MCS and EMA. In addition, the combined use of MCS and EMA increasingly requires suitable architectures and associated digital solutions for the healthcare domain.
KW  - mobile crowdsensing (MCS)
KW  - crowdsourcing
KW  - ecological momentary assessments (EMA)
KW  - mobile healthcare application
KW  - chronic disorders
KW  - reference architecture
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-200220
SN  - 1662-453X
VL  - 14
IS  - 164
ER  -