Lena Aeschbach, M.Sc.

Forschungsschwerpunkt Mensch-Maschine Interaktion

Picture of Lena Aeschbach, M.Sc.
Assistent / PhD Student


Tel.+41 61 207 05 64

Office 01.006 (HH)
Missionsstrasse 62a
4055 Basel

Research Interest

I am interested in the process of self-expression and relationship building within digital media. These include the study of the influence of avatars, and their creation, on the players and their relationships in video games. In the future, I plan to extend this research on Parasocial Relationships to other digital spaces, such as social media.


  • 2021 CHI PLAY Honorable Mentions Award
  • 2019 CHI PLAY Honorable Mentions Award


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., 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.