Jessica Kollmorgen

dblp:302/1040 · DBLP profile ↗
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6ranked-venue papers
2as first author
6since 2021 · last 2025
0000-0003-0649-3750ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 6 · 2 first-author · 6 since 2021
YearPublicationVenuePosition
2025 Classification of Augmented Reality Design Recommendations on User Experience Dimensions: Preliminary Study Results
Stefan Graser, Jessica Kollmorgen, Martin Schrepp, María José Escalona Cuaresma, Stephan Böhm
WEBIST2
2025 Influence of UX Factors on User Behavior: The Critical Incident Technique
Jessica Kollmorgen, Yaprak Turhan, María José Escalona Cuaresma, Jörg Thomaschewski
WEBIST1
2025 A Case Study on Using Generative AI in Literature Reviews: Use Cases, Benefits, and Challenges
Eva-Maria Schön, Jessica Kollmorgen, Michael Neumann 0002, Maria Rauschenberger
WEBIST2
2024 Impact of a Split into Single Items on the Response Rate of the User Experience Questionnaire Short (UEQ-S)
Marco Schaa, Jessica Kollmorgen, Martin Schrepp, Jörg Thomaschewski
WEBIST2
2023 Impact of Item Polarity on the Scales of the User Experience Questionnaire (UEQ)
abstract
Measuring user experience is vital for long-term success of interactive products. Questionnaires like the modular extension of the User Experience Questionnaire (UEQ+) are an established instrument for this purpose. Different item formats are available for these questionnaires, such as the number of response options (most frequent 5- or 7- point Likert scales). But the item format of an UX questionnaire can of course influence the measured results. We investigate in this paper if the change to a one-sided polarity of semantic differential items influences the effort of the participants required to answer these items and on the measured scale scores. Therefore, we conducted 6 studies with 438 collected responses for the well-known products Microsoft PowerPoint, WhatsApp and Google Maps. Each product was evaluated by a sample of participants with the original UEQ and a modified version of the UEQ with one-sided polarity. In the modified version, the positive term of the semantic differ ential was always placed in the right position, while it is placed in half of the items in the positive and the other half in the left position in the original UEQ version. The results showed that the effort to complete the questionnaire (completion time and number of required corrections) was lower for the version with one-sided polarity, but the differences were so small that they are not practically relevant. But the results also showed that the change to a one-sided polarity introduced an answer tendency, which impact the scale scores. Therefore, the results obtained with the two versions of the UEQ cannot directly be compared. Based on this, we can conclude that it is not possible to directly compare the scores of the original UEQ scales with the corresponding scores of UEQ+ scales.
Martin Schrepp, Jessica Kollmorgen, Jörg Thomaschewski
WEBIST2
2022 Impact of Usage Behaviour on the User Experience of Netflix, Microsoft Powerpoint, Bigbluebutton and Zoom
abstract
In order to be able to meaningfully classify the user experience and thus the popularity of products, UX questionnaires such as the UEQ, SUS or UMUX are frequently used in practice to measure the UX. This makes it possible to specifically evaluate the ratings of pragmatic and hedonic UX factors. However, it is conceivable that, in addition to users’ own perceptions, external factors also have an influence on the evaluation of the UX of products. These include, for example, time or duration of use. It can be assumed that users who rate the UX of a product as good also use this product more frequently and vice versa. Such a consideration of influencing factors is particularly interesting for products that have been used frequently in recent years and thus also during the pandemic. For this reason, Netflix, Microsoft PowerPoint, Zoom and BigBlueButton were selected, which cover the range from primarily hedonic to primarily pragmatic quality. These are examined for their UX ratings as we ll as influencing factors.
Jessica Kollmorgen, Martin Schrepp, Jörg Thomaschewski
WEBIST1