STENO Interviewing and Rating Optimism
In her master’s thesis, Justina Schuhknecht had the AI-supported interviewer software STENO conduct 30 interviews on optimism and use the rating module to rate the transcripts for optimism. According to the results, STENO is at least as good at conducting interviews and guessing optimism as human interviewers and raters. We are preparing these results for publication.
STENO Interviewing and Rating Burnout and Work Engagement
Michelle Plaßmann takes a similar approach to Justina, but examines two three-dimensional constructs, burnout and work engagement, so that the STENO ratings can also be checked with regard to these dimensions. The planned 90 or so interviews will start next week and we are very excited about the data and the results.
Automization of Document Checking
Maike Grieskamp automates document checks regarding incoming and outgoing goods with the help of AI and at the same time examines the usability of the user interface and the quality of the language model as design variables in their effect on acceptance and error rate. The theoretical basis is action regulation theory, which describes, among other things, how algorithmic work actions are carried out. Cognitive interviews help to work out the document checking algorithms, which will form the basis for the AI-supported document checker. The algorithms are currently being derived.
It has been a great pleasure for me to accompany Maike, Michelle and Justina in their Master’s studies for four semesters now. I am excited to see what will come out of these great projects and look forward to continuing to work together until this work is completed!
Find the original post in German on my LinkedIn-profile.