Lena Aeschbach, M.Sc.

Forschungsschwerpunkt Mensch-Maschine Interaktion

Foto von Lena Aeschbach, M.Sc.
Assistent*in / Doktorand*in

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Büro 01.006 (HH)
Missionsstrasse 62a
4055 Basel


Ich bin interessiert an den Prozessesen der Selbstdarstellung und des Beziehungsaufbaus innerhalb von digitalen Medien. Dazu gehören die Erforschung vom Einfluss von Avataren, und deren Kreationsprozess, auf die Spieler*in und deren Beziehungen in Videospielen. Ich plane in der Zukunft diese Forschung über Parasocial Relationships auch auf andere digitale Räume, wie Social Media, auszuweiten.


  • 2021 CHI PLAY Best Paper Honorable Mention
  • 2019 CHI PLAY Best Paper Honorable Mention


Conference Proceedings

  • Bopp, J. A., Müller, L. J., Aeschbach, L. F., Opwis, K., & Mekler, E. D. (2019). Exploring Emotional Attachment to Game Characters. Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 313–324. https://doi.org/10.1145/3311350.3347169 Honorable Mentions (top 5 %)

Journal Articles

  • Aeschbach, L. F., Kayser, D., Hüsler, A. B. D. C., Opwis, K., & Brühlmann, F. (2023). The psychology of esports players’ ELO Hell: Motivated bias in League of Legends and its impact on players’ overestimation of skill. Computers in Human Behavior, 107828. https://doi.org/https://doi.org/10.1016/j.chb.2023.107828
  • Aeschbach, L. F., Opwis, K., & Brühlmann, F. (2022). Breaking immersion: A theoretical framework of alienated play to facilitate critical reflection on interactive media. Frontiers in Virtual Reality, 3. https://doi.org/10.3389/frvir.2022.846490
  • Aeschbach, L. F., Perrig, S. A. C., Weder, L., Opwis, K., & Brühlmann, F. (2021). Transparency in Measurement Reporting: A Systematic Literature Review of CHI PLAY. Proc. ACM Hum.-Comput. Interact., 5(CHI PLAY). https://doi.org/10.1145/3474660 Honorable Mentions (top 5 %)
  • Brühlmann, F., Petralito, S., Aeschbach, L. F., & Opwis, K. (2020). The quality of data collected online: An investigation of careless responding in a crowdsourced sample. Methods in Psychology, 2, 100022. https://doi.org/10.1016/j.metip.2020.100022
  • Brühlmann, F., Petralito, S., Rieser, D. C., Aeschbach, L. F., & Opwis, K. (2020). TrustDiff: Development and Validation of a Semantic Differential for User Trust on the Web. Journal of Usability Studies, 16(1), 29–48. https://uxpajournal.org/trustdiff-semantic-differential-for-user-trust-web/
  • Buttrick, N. R., Aczel, B., Aeschbach, L. F., Bakos, B. E., Brühlmann, F., Claypool, H. M., Hüffmeier, J., Kovacs, M., Schuepfer, K., Szecsi, P., Szuts, A., Szöke, O., Thomae, M., Torka, A.-K., Walker, R. J., & Wood, M. J. (2020). Many Labs 5: Registered Replication of Vohs and Schooler (2008), Experiment 1. Advances in Methods and Practices in Psychological Science, 0(0), 2515245920917931. https://doi.org/10.1177/2515245920917931
  • Ebersole, C. R., Mathur, M. B., Baranski, E., Bart-Plange, D.-J., Buttrick, N. R., Chartier, C. R., Corker, K. S., Corley, M., Hartshorne, J. K., IJzerman, H., Lazarevic, L. B., Rabagliati, H., Ropovik, I., Aczel, B., Aeschbach, L. F., Andrighetto, L., Arnal, J. D., Arrow, H., Babincak, P., … Nosek, B. A. (2020). Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability. Advances in Methods and Practices in Psychological Science, 0(0), 2515245920958687. https://doi.org/10.1177/2515245920958687


  • Aeschbach, L. (2019). Dating start! Identification facilitates relatedness to non-player characters.