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Lena Fanya Aeschbach
Lena Fanya Aeschbach
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Title
Cited by
Cited by
Year
The quality of data collected online: an investigation of careless responding in a crowdsourced sample
F Brühlmann, S Petralito, LF Aeschbach, K Opwis
Methods in Psychology 2, 100022, 2020
1232020
Exploring emotional attachment to game characters
JA Bopp, LJ Müller, LF Aeschbach, K Opwis, ED Mekler
Proceedings of the Annual Symposium on Computer-Human Interaction in Play …, 2019
1042019
Many Labs 5: Testing pre-data-collection peer review as an intervention to increase replicability
CR Ebersole, MB Mathur, E Baranski, DJ Bart-Plange, NR Buttrick, ...
Advances in Methods and Practices in Psychological Science 3 (3), 309-331, 2020
982020
Transparency in Measurement Reporting: A Systematic Literature Review of CHI PLAY
LF Aeschbach, SAC Perrig, L Weder, K Opwis, F Brühlmann
Proceedings of the ACM on Human-Computer Interaction 5 (CHI PLAY), 1-21, 2021
252021
Many Labs 5: Registered Replication of Vohs and Schooler (2008), Experiment 1
NR Buttrick, B Aczel, LF Aeschbach, BE Bakos, F Brühlmann, ...
Advances in Methods and Practices in Psychological Science 3 (3), 429-438, 2020
162020
TrustDiff: Development and Validation of a Semantic Differential for User Trust on the Web.
F Brühlmann, S Petralito, DC Rieser, LF Aeschbach, K Opwis
Journal of Usability Studies 16 (1), 2020
92020
The psychology of esports players’ ELO Hell: Motivated bias in League of Legends and its impact on players’ overestimation of skill
LF Aeschbach, D Kayser, ABDC Hüsler, K Opwis, F Brühlmann
Computers in Human Behavior 147, 107828, 2023
52023
Breaking Immersion: A Theoretical Framework of Alienated Play to Facilitate Critical Reflection on Interactive Media
LF Aeschbach, K Opwis, F Brühlmann
Frontiers in Virtual Reality, 112, 2022
42022
Many Labs 5: Testing pre-data collection peer review as an intervention to increase replicability (results-blind manuscript)
CR Ebersole, M Mathur, E Baranski, DJ Bart-Plange, N Buttrick, ...
PsyArXiv, 2019
32019
The effectiveness of warning statements in reducing careless responding in crowdsourced online surveys
F Brühlmann, Z Memeti, LF Aeschbach, SAC Perrig, K Opwis
Behavior Research Methods, 1-14, 2024
22024
To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
N Scharowski, SAC Perrig, LF Aeschbach, N von Felten, K Opwis, ...
arXiv preprint arXiv:2403.00582, 2024
12024
Measurement Practices in User Experience (UX) Research: A Systematic Quantitative Literature Review
SAC Perrig, LF Aeschbach, N Scharowski, N von Felten, K Opwis, ...
Frontiers in Computer Science 6, 1368860, 2024
12024
Measurement practices in UX research: a systematic quantitative literature review
SAC Perrig, LF Aeschbach, N Scharowski, N von Felten, K Opwis, ...
OSF, 2022
12022
Independent Validation of the Player Experience Inventory: Findings from a Large Set of Video Game Players
SAC Perrig, N Scharowski, F Brühlmann, N von Felten, K Opwis, ...
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-13, 2024
2024
Systematic review on the methodological rigor and effectiveness of digital game-based learning in education
LF Aeschbach, AB de Castro Hüsler, K Opwis
OSF, 2024
2024
Measurement Practices in UX Research: A Systematic Quantitative
SAC Perrig, LF Aeschbach, N Scharowski, N von Felten, K Opwis, ...
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