@article{52202, author = {{Lammert, Olesja and Richter, Birte and Schütze, Christian and Thommes, Kirsten and Wrede, Britta}}, journal = {{Frontiers in Behavioral Economics}}, title = {{{Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies}}}, doi = {{10.3389/frbhe.2024.1377075}}, year = {{2024}}, } @inproceedings{48285, author = {{Lebedeva, Anastasia and Kornowicz, Jaroslaw and Lammert, Olesja and Papenkordt, Jörg}}, booktitle = {{Artificial Intelligence in HCI}}, title = {{{The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks}}}, doi = {{10.1007/978-3-031-35891-3_9}}, year = {{2023}}, } @inproceedings{47976, author = {{Papenkordt, Jörg and Ngonga-Ngomo, Axel-Cyrille and Thommes, Kirsten}}, booktitle = {{Academy of Management Proceedings}}, title = {{{Are Numbers or Words the Key to User Reliance on AI?}}}, doi = {{10.5465/AMPROC.2023.12946}}, year = {{2023}}, } @article{47953, author = {{Kornowicz, Jaroslaw and Thommes, Kirsten}}, isbn = {{9783031358906}}, issn = {{0302-9743}}, journal = {{Artificial Intelligence in HCI}}, publisher = {{Springer Nature Switzerland}}, title = {{{Aggregating Human Domain Knowledge for Feature Ranking}}}, doi = {{10.1007/978-3-031-35891-3_7}}, year = {{2023}}, } @inproceedings{47972, author = {{Gutt, Jana Kim and Mehic, Miro and Thommes, Kirsten}}, booktitle = {{Academy of Management Proceedings}}, title = {{{Oh my Goodness: Investigating the Goodness of Performance Appraisal Formats Between and Within Teams}}}, doi = {{10.5465/AMPROC.2023.214}}, year = {{2023}}, } @article{44639, author = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}}, issn = {{2451-9588}}, journal = {{Computers in Human Behavior Reports}}, keywords = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}}, publisher = {{Elsevier BV}}, title = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}}, doi = {{10.1016/j.chbr.2022.100258}}, volume = {{9}}, year = {{2023}}, } @inproceedings{48280, author = {{Schütze, Christian and Lammert, Olesja and Richter, Birte and Thommes, Kirsten and Wrede, Britta}}, booktitle = {{Artificial Intelligence in HCI}}, title = {{{Emotional Debiasing Explanations for Decisions in HCI}}}, doi = {{10.1007/978-3-031-35891-3_20}}, year = {{2023}}, } @article{32266, author = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}}, issn = {{1044-7318}}, journal = {{International Journal of Human–Computer Interaction}}, keywords = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}}, pages = {{1--17}}, publisher = {{Informa UK Limited}}, title = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}}, doi = {{10.1080/10447318.2022.2081283}}, year = {{2022}}, } @article{32267, author = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}}, issn = {{1044-7318}}, journal = {{International Journal of Human–Computer Interaction}}, keywords = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}}, pages = {{1--17}}, publisher = {{Informa UK Limited}}, title = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}}, doi = {{10.1080/10447318.2022.2081283}}, year = {{2022}}, } @inbook{32272, author = {{Akkerman, Agnes and Manevska, Katerina and Thommes, Kirsten and Sluiter, Roderick}}, booktitle = {{Employment Relations as Networks}}, isbn = {{9781003125730}}, publisher = {{Routledge}}, title = {{{Losing What You Never Had}}}, doi = {{10.4324/9781003125730-10}}, year = {{2022}}, } @article{34044, author = {{Hoffmann, Christin and Thommes, Kirsten}}, issn = {{0959-6526}}, journal = {{Journal of Cleaner Production}}, keywords = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}}, publisher = {{Elsevier BV}}, title = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}}, doi = {{10.1016/j.jclepro.2022.135053}}, year = {{2022}}, } @article{34045, author = {{Hoffmann, Christin and Thommes, Kirsten}}, issn = {{0959-6526}}, journal = {{Journal of Cleaner Production}}, keywords = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}}, publisher = {{Elsevier BV}}, title = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}}, doi = {{10.1016/j.jclepro.2022.135053}}, year = {{2022}}, } @article{34283, author = {{Gutt, Jana Kim and Thommes, Kirsten}}, issn = {{0065-0668}}, journal = {{Academy of Management Proceedings}}, keywords = {{Microbiology}}, number = {{1}}, publisher = {{Academy of Management}}, title = {{{Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments}}}, doi = {{10.5465/ambpp.2022.16394abstract}}, volume = {{2022}}, year = {{2022}}, } @article{32857, author = {{Gutt, Jana Kim and Thommes, Kirsten}}, issn = {{0065-0668}}, journal = {{Academy of Management Proceedings}}, keywords = {{Microbiology}}, number = {{1}}, publisher = {{Academy of Management}}, title = {{{Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments}}}, doi = {{10.5465/ambpp.2022.16394abstract}}, volume = {{2022}}, year = {{2022}}, } @article{33692, abstract = {{Abstract An individual’s relation to time may be an important driver of pro-environmental behaviour. We studied whether young individual’s gender and time-orientation are associated with pro-environmental behaviour. In a controlled laboratory environment with students in Germany, participants earned money by performing a real-effort task and were then offered the opportunity to invest their money into an environmental project that supports climate protection. Afterwards, we controlled for their time-orientation. In this consequential behavioural setting, we find that males who scored higher on future-negative orientation showed significantly more pro-environmental behaviour compared to females who scored higher on future-negative orientation and males who scored lower on future-negative orientation. Interestingly, our results are completely reversed when it comes to past-positive orientation. These findings have practical implications regarding the most appropriate way to address individuals in order to achieve more pro-environmental behaviour.}}, author = {{Hoffmann, Christin and Hoppe, Julia Amelie and Ziemann, Niklas}}, issn = {{1748-9326}}, journal = {{Environmental Research Letters}}, keywords = {{Public Health, Environmental and Occupational Health, General Environmental Science, Renewable Energy, Sustainability and the Environment}}, number = {{10}}, publisher = {{IOP Publishing}}, title = {{{Who has the future in mind? Gender, time perspectives, and pro-environmental behaviour}}}, doi = {{10.1088/1748-9326/ac9296}}, volume = {{17}}, year = {{2022}}, } @article{34046, author = {{Hoffmann, Christin and Thommes, Kirsten}}, issn = {{2168-2291}}, journal = {{IEEE Transactions on Human-Machine Systems}}, keywords = {{Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Signal Processing, Control and Systems Engineering, Human Factors and Ergonomics}}, pages = {{1--11}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control}}}, doi = {{10.1109/thms.2022.3212335}}, year = {{2022}}, } @article{34281, abstract = {{In this paper, we apply imprinting theory to examine how institutional transformation substantially influences perceptions of corruption that we argue to be incorporated to a varying extent in organizations founded in that period. For this purpose, we compare the effect of a sudden shock (dissolution of the Soviet Union) on the managers' present perceptions to that of a steady transition (EU accession). We consult the 5th round of the Business Environment and Enterprise Performance Survey from 2012 to 2014 analyzing 4715 interviews with managers of organizations from twelve Central and Eastern European countries. Our results reveal striking differences in the present perception of corruption for organizations founded immediately before and immediately after these institutional transitions. The study's results contribute to the research on imprinting theory regarding the relationship between organizations and institutional conditions that constitutes a lasting effect on organizational structures. Thus, applying an institutional perspective that considers less stable periods for organizations yields a promising avenue in research on organizational behavior.}}, author = {{Auer, Thorsten Fabian and Knorr, Karin and Thommes, Kirsten}}, issn = {{2694-6424}}, journal = {{Business Ethics, the Environment & Responsibility}}, keywords = {{Central and Eastern Europe, corruption, imprinting theory, institutional transformation, shock-imprinting}}, number = {{2}}, pages = {{478--497}}, publisher = {{Wiley}}, title = {{{Long‐term effects of institutional conditions on perceived corruption – A study on organizational imprinting in post‐communist countries}}}, doi = {{10.1111/beer.12506}}, volume = {{32}}, year = {{2022}}, } @article{44529, abstract = {{According to the German Rectors’ Conference (HRK), German higher education teaching fails to meet the demand to integrate competence-oriented learning objectives. Despite a wide-ranging debate on the use of learning objectives, empirical research on their effectiveness is scarce. The present study uses the features of digital teaching platforms to investigate the perception and effectiveness of learning objectives applying a randomised controlled experiment followed by a survey in a course for undergraduate economics students (N = 30). Controlling group preconditions and the treatment effect allows to draw conclusions about the different learning outcomes of the student groups. The specification of behaviour-oriented learning objectives in the online course system leads to significantly better performance in the treatment group. A stronger perception of the learning objectives in the treatment group supports this effect that remains significant in a regression analysis. Thus, the study provides an empirical justification to integrate learning objectives in university teaching.}}, author = {{Auer, Thorsten Fabian}}, issn = {{2199-8825}}, journal = {{die hochschullehre}}, keywords = {{learning objectives, academic performance, perception, teaching methods, experiment}}, number = {{1}}, pages = {{662--675}}, title = {{{Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie}}}, doi = {{http://doi.org/10.3278/HSL2248W}}, volume = {{8}}, year = {{2022}}, } @inproceedings{33957, abstract = {{Manufacturing companies are challenged to make the increasingly complex work processes equally manageable for all employees to prevent an impending loss of competence. In this contribution, an intelligent assistance system is proposed enabling employees to help themselves in the workplace and provide them with competence-related support. This results in increasing the short- and long-term efficiency of problem solving in companies.}}, author = {{Deppe, Sahar and Brandt, Lukas and Brünninghaus, Marc and Papenkordt, Jörg and Heindorf, Stefan and Tschirner-Vinke, Gudrun}}, keywords = {{Assistance system, Knowledge graph, Information retrieval, Neural networks, AR}}, location = {{Stuttgart}}, title = {{{AI-Based Assistance System for Manufacturing}}}, doi = {{10.1109/ETFA52439.2022.9921520}}, year = {{2022}}, } @inproceedings{34282, author = {{Deppe, Sahar and Brandt, Lukas and Brunninghaus, Marc and Papenkordt, Jörg and Heindorf, Stefan and Tschirner-Vinke, Gudrun}}, booktitle = {{2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)}}, publisher = {{IEEE}}, title = {{{AI-Based Assistance System for Manufacturing}}}, doi = {{10.1109/etfa52439.2022.9921520}}, year = {{2022}}, }