September, 2024
Our team had the pleasure of attending the joint Congress of the German and Austrian Psychological Societies (DGPs/ÖGP) in Vienna, Austria, from September 15th to 19th. Dr. Susanne Gaube led a symposium that showcased the diverse methodologies used in research on Human-AI Interaction in healthcare. The symposium featured her presentation on „Comparing Preferences for Skin Cancer Screening: A Conjoint Experiment“, alongside other insightful talks: Dr. Anne-Kathrin Kleine’s „Exploring Human-AI Interaction in Healthcare from Different Perspectives: Showcasing Methodological Variety,“ Julia Cecil’s „Exploring Attitudes and Adoption Intentions of AI-Enabled Technologies Among Mental Health Practitioners: Results from an International Questionnaire Study“, and Dr. Eesha Kokje’s „Human-AI Interaction in Diagnostic Decision-Making: An Eye Movement-Based Investigation“.
Additionally, Dr. Anne-Kathrin Kleine chaired a symposium on trust in AI, where she presented her research on „The Relationship Between Performance, Trust, and the Intention to Use Generative AI in Academia“.
September, 2024
From September 9th to 14th 2024, Dr. Eesha Kokje had the pleasure to join the European Summer School on Eye Movements (ESSEM) in Athens, Greece. The summer school took place at the beautiful National and Kapodistrian University of Athens. Eesha Kokje presented our study on “Human-AI interaction in diagnostic decision making: An eye-movement based investigation” in a poster session. The summer school was a wonderful opportunity for learning more about varied applications of the eye-tracking method, and also sought to connect eye-movement researchers from around the world.
March, 2024
We had the pleasure to join the 66th Conference of Experimental Psychologists from March 17th to March 20th in Regensburg (Germany). Julia Cecil, who was the chair of the symposium „AI and decision-making: Insights from various applied settings“, held a talk about the effect of explainable advice on decision-making in personnel selection. Dr. Eesha Kokje presented study results on factors influencing decision-making with AI advice in one-to-one face matching tasks.
February, 2024
Dr. Anne-Kathrin Kleine gave a guest lecture on the use and current trends in the development of AI-supported clinical decision support tools for mental healthcare as part of Dr. Susanne Gaube’s course „Human Factors for Digital Health“ at the Global Business School for Health (GBSH) at University College London (UCL) on February, 29th.
Dr. Kleine presented various research methods such as questionnaire studies, patent and product reviews and experimental studies that she and her team used to explore the use of AI-supported tools in healthcare.
September, 2023
We had the pleasure to join the “Women AI Days – Women in the field of AI in healthcare” in Königstein near Frankfurt (Germany) from September 19th to 20th. The event sought to connect women researchers with research focus on AI in healthcare.
Prof. Dr. Eva Lermer, Dr. Anne-Kathrin Kleine, Dr. Eesha Kokje, Dr. Susanne Gaube and Julia Cecil presented various study results, ranging from patent analysis and questionnaire studies in mental healthcare to experimental studies on imaging processes in radiology.
July, 2023
July 24th: Anne-Kathrin Kleine, “AI-enabled Clinical Decision Support Tools: Potential, Progress, Challenges”, AMBOSS Crosstalk, Berlin
July 24th: Anne-Kathrin Kleine, “The Future of AI in Healthcare: Benefits, Risks, Doctors’ Attitudes, and Students’ Blind-spots”, AMBOSS Podcast Beyond the Textbook, https://open.spotify.com/episode/10jUtRGs8knhhBrqaPCHOB?si=db0fda7463d741dc
July 20th: Susanne Gaube, “The Effect of Diagnostic AI-Generated Advice on Clinical Decision-Making”, Lecture at the Philosophy & Computer Science Summer School, Bayreuth, https://explainable-intelligent.systems/summer-school/
July 20th: Anne-Kathrin Kleine, “A Glimpse Into the Future – How AI-Enabled Precision Psychiatry Tools Advance Mental Healthcare”, Lecture at the Philosophy & Computer Science Summer School, Bayreuth, https://explainable-intelligent.systems/summer-school/
May, 2023
Our team had the pleasure to be part of the 21st EAWOP Congress of the European Association of Work and Organizational Psychology that took place in Katowice (Poland) from May 24th to 27th. Dr. Anne-Kathrin Kleine and Julia Cecil participated in the symposium „New working environments“. Dr. Anne-Kathrin Kleine presented a systematic review and meta-analysis based on the UTAUT model in the context of AI-enabled medical decision support systems and Julia Cecil presented study results regarding the effect of explainable AI advice on people’s decision-making in a HR task.
Read more on the following LinkedIn post: https://www.linkedin.com/posts/lmu-center-for-leadership-and-people-management_lmuclpm-lmuclpm-austausch-activity-7070316522371469312-QZAZ?utm_source=share&utm_medium=member_desktop
March, 2023
At the ICPS 2023 from March 9th to 11th 2023 in Brussels our team (Dr. Susanne Gaube, Dr. Anne-Kathrin Kleine, Dr. Eesha Kokje and Julia Cecil) held a symposium on the “Human-AI-Interaction in different professional domains: Opportunities, challenges and design recommendations”. The symposium addressed study results on factors influencing the acceptance and use of AI-enabled decision support tools of physicians (Dr. Susanne Gaube) and in psychotherapy (Dr. Eesha Kokje), personnel selection (Julia Cecil) and recent developments in AI-enabled precision psychiatry (Dr. Anne-Kathrin Kleine).
Read more on the following LinkedIn post: https://www.linkedin.com/posts/lmu-center-for-leadership-and-people-management_icps23be-aps-forschung-activity-7041043179952828418-HhIa?utm_source=share&utm_medium=member_desktop
February, 2023
Dr. Susanne Gaube’s recent article has been featured on the latest edition of the ‚The Imaging Wire‘. The article highlights her expertise and insights in the field of AI-enabled medical imaging. Stay tuned for more updates on technological processes in the imaging world.
The article can be accessed online: https://theimagingwire.com/newsletter/3721/
December, 2022
The second part of two reports published by the Health Education England and the NHS AI Lab with the interview of Susanne Gaube and Harini Suresh is now online.
The full report can be accessed online: https://digital-transformation.hee.nhs.uk/building-a-digital-workforce/dart-ed/horizon-scanning/developing-healthcare-workers-confidence-in-ai
October, 2022
From October 12th – October 14th we had the pleasure of attending the Herrenhausen Conference “AI and the Future of Societies” hosted by the VolkswagenStiftung. The conference took place at the beautiful Herrenhausen Palace in Hannover, Germany. Eva Lermer and Julia Cecil presented study results at the poster session and Susanne Gaube gave a talk about “How accuracy and explainability of advice affect physicians”. Our team had many inspiring discussions with other researchers in the field. We would like to thank the VolkswagenStiftung for hosting this fantastic event and for the opportunity to connect and form new research collaborations.
Read more on the following LinkedIn post ( https://www.linkedin.com/feed/update/urn:li:activity:6991008990386094080/).
September, 2022
At the 52nd DGPs Congress in Hildesheim from September 10 th to 15 th 2022 ( https://www.uni-hildesheim.de/dgps2022/) our team (Prof. Dr. Eva Lermer, Dr. Susanne Gaube, Pia Hummelsberger and Julia Cecil) held a symposium about the topic “Artificial Intelligence (AI) and health: A psychological perspective”. Dr. Susanne Gaube, the chair of the symposium, presented her study results regarding “The influence of diagnostic advice on physicians’ decision-making” and Pia Hummelsberger addressed the “Current state of AI in healthcare: Expert interviews with researchers and technical officers”.
For more information see the following LinkedIn Post ( https://www.linkedin.com/feed/update/urn:li:activity:6977561194953879552/)
July, 2022
We warmly welcome our new postdoctural researcher Eesha Koje!
As of 07/01/2022, Eesha Kokje has joined our staff development team as a postdoctural researcher. We welcome her very warmly and are looking forward to our future cooperation!
June, 2022
We warmly welcome our new postdoctural researcher Anne-Kathrin Kleine!
As of 06/15/2022, Anne-Kathrin Kleine has joined our staff development team as a postdoctural researcher. We welcome her very warmly and are looking forward to our future cooperation!
Dr. Matthias Hudecek and Prof. Dr. Eva Lermer presented experimental study results at the 30 th Annual Conference of the Society of Risk Analysis Europe ( https://www.sraeurope.eu/novi-sad-serbia-2022) from June 12th to 15th 2022 in Novi Sad, Serbia. The study focused on the perception and risk assessment of medical recommendations by an artificial intelligence.
Read more on Eva Lermer’s LinkedIn Post ( https://www.linkedin.com/feed/update/urn:li:activity:6944746293466427393/)
May, 2022
Susanne Gaube and Harini Suresh (Ph.D. candidate at MIT and collaborator with our team) have been interviewed for an NHS report on AI in healthcare. This is one of two reports published by the Health Education England and the NHS AI Lab at the NHS Transformation Directorate. The report’s aim is to explore factors influencing healthcare workers’ confidence in AI-driven technologies and how their confidence can be developed through education and training. It is argued that confidence in AI used in healthcare can be increased by establishing its trustworthiness through the governance and robust implementation of these technologies. Gaube and Suresh were invited to share their experiences exploring how users are influenced by and interact with AI technology in clinical tasks. You can find their comments about users‘ susceptibility to AI advice and the impact of domain expertise mainly in the fifth chapter „Clinical Use“ in the NHS report.
The full report can be accessed online:
Nix, M., Onisiforou, G., & Painter, A. (2022). Understanding Healthcare workers’ confidence in AI. NHS AI Lab & Health Education England.
https://digital-transformation.hee.nhs.uk/building-a-digital-workforce/dart-ed/horizon-scanning/understanding-healthcare-workers-confidence-in-ai