@inproceedings{55177, author = {{Thommes, Kirsten and Lammert, Olesja and Schütze, Christian and Richter, Birte and Wrede, Britta}}, booktitle = {{Communications in Computer and Information Science}}, isbn = {{9783031638022}}, issn = {{1865-0929}}, publisher = {{Springer Nature Switzerland}}, title = {{{Human Emotions in AI Explanations}}}, doi = {{10.1007/978-3-031-63803-9_15}}, year = {{2024}}, } @article{53610, abstract = {{PurposeThe relationship between variation in time perspectives and collaborative performance is scarcely explored, and even less is known about the respective mechanisms that lead to varying task performance. Thus, we aim to further the literature on time perspectives and collaborative performance, shedding light on the underlying behavioral patterns.Design/methodology/approachWe report a quasi-experiment analyzing the impact of past, present and future orientation variation in dyads (N = 76) on their quantitative and qualitative performance when confronted with a simple incentivized creative task with constraints. Subsequently, we offer a qualitative analysis of comments given by the participants after the task on the collaboration.FindingsResults indicate that a dyad's elevation of past orientation and diversity in future orientation negatively affect collaborative performance. At the same time, there is a positive effect of elevation of future orientation. The positive effect is driven by clear communication and agreement during the task, while the negative effect arises from work sharing and complementation.Practical implicationsThis study provides insights for organizations on composing individuals regarding their temporal focus for collaborative tasks that should be executed rapidly and require creative solutions.Originality/valueOur study distinguishes by considering the composition of past, present and future time perspectives in dyads and focuses on a creative task setting. Moreover, we explore the mechanisms in the dyads with a substantial elevation of/diversity in future orientation, leading to their stronger/weaker performance.}}, author = {{Auer, Thorsten Fabian and Hoppe, Julia Amelie and Thommes, Kirsten}}, issn = {{2051-6614}}, journal = {{Journal of Organizational Effectiveness: People and Performance}}, keywords = {{Organizational Behavior and Human Resource Management}}, number = {{4}}, pages = {{1023--1042}}, publisher = {{Emerald}}, title = {{{Time perspectives and collaborative performance in creative tasks}}}, doi = {{10.1108/joepp-07-2023-0285}}, volume = {{11}}, year = {{2024}}, } @inproceedings{57250, author = {{Schütze, Christian and Richter, Birte and Lammert, Olesja and Thommes, Kirsten and Wrede, Britta}}, booktitle = {{HAI '24: Proceedings of the 12th International Conference on Human-Agent Interaction}}, isbn = {{9798400711787}}, pages = {{141--149}}, publisher = {{ACM}}, title = {{{Static Socio-demographic and Individual Factors for Generating Explanations in XAI: Can they serve as a prior in DSS for adaptation of explanation strategies?}}}, doi = {{10.1145/3687272.3688300}}, year = {{2024}}, } @inproceedings{55178, author = {{Thommes, Kirsten and Lammert, Olesja and Schütze, Christian and Richter, Birte and Wrede, Britta}}, title = {{{Human Emotions in AI Explanations}}}, year = {{2024}}, } @inproceedings{57645, author = {{Heid, Stefan and Kornowicz, Jaroslaw and Hanselle, Jonas Manuel and Hüllermeier, Eyke and Thommes, Kirsten}}, booktitle = {{PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE}}, pages = {{233}}, title = {{{Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems}}}, volume = {{21}}, year = {{2024}}, } @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}}, } @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}}, } @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 = {{https://doi.org/10.5465/AMPROC.2023.214bp}}, year = {{2023}}, } @inproceedings{51209, author = {{Hanselle, Jonas Manuel and Kornowicz, Jaroslaw and Heid, Stefan and Thommes, Kirsten and Hüllermeier, Eyke}}, booktitle = {{LWDA’23: Learning, Knowledge, Data, Analysis. }}, editor = {{Leyer, M and Wichmann, J}}, issn = {{1613-0073}}, title = {{{Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain}}}, year = {{2023}}, } @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{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{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{30218, author = {{Tuisku, Outi and Johansson-Pajala, Rose-Marie and Hoppe, Julia Amelie and Pekkarinen, Satu and Hennala, Lea and Thommes, Kirsten and Gustafsson, Christine and Melkas, Helinä}}, issn = {{0144-929X}}, journal = {{Behaviour & Information Technology}}, keywords = {{Human-Computer Interaction, General Social Sciences, Arts and Humanities (miscellaneous), Developmental and Educational Psychology}}, pages = {{1--17}}, publisher = {{Informa UK Limited}}, title = {{{Assistant nurses and orientation to care robot use in three European countries}}}, doi = {{10.1080/0144929x.2022.2042736}}, 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}}, } @inbook{34466, author = {{Papenkordt, Jörg and Thommes, Kirsten}}, booktitle = {{Human-Technology Interaction}}, isbn = {{9783030992347}}, publisher = {{Springer International Publishing}}, title = {{{Determinants of Trust in Smart Technologies}}}, doi = {{10.1007/978-3-030-99235-4_13}}, year = {{2022}}, } @techreport{45668, abstract = {{Im Rahmen dieser Studie wird der Status Quo des KI-Einsatzes in der industriellen Arbeitswelt in der Region OstWestfalenLippe erfasst und beschrieben. Dadurch wird eine Grundlage geschaffen, um eine zielführende Unterstützung der Gestaltung von durch Künstliche Intelligenz (KI) gestützter Arbeitsprozesse in Unternehmen zu ermöglichen, indem beispielsweise bedarfsbezogene Maßnahmen entwickelt und durchgeführt sowie weiterer Forschungsbedarf aufgezeigt wird. Die Befragung wurde im Jahr 2021 von dem Kompetenzzentrum Arbeitswelt.Plus sowie dem Spitzencluster it’s OWL initiiert. Dabei sind drei Zielgruppen – Unternehmensleitung, Personalabteilung (HR) sowie Arbeitnehmer*innen – adressiert worden. Insgesamt nahmen 317 Personen aus 89 verschiedenen Unternehmen bzw. Organisationen an der Befragung teil – zu 38 % Unternehmer*innen, zu 13 % Personaler*innen und zu 49 % Arbeitnehmer*innen. Die meisten der Teilnehmenden stammten aus der Elektroindustrie, dem Maschinenbau sowie dem Informations- und Kommunikationstechnologie (IKT)-Sektor. Die Befragungsergebnisse zeigen, dass sich die meisten Unternehmen in der Anfangsphase der KI-Nutzung befinden. Zwischen einzelnen Unternehmensbereichen und verschiedenen Branchen zeigen sich gewisse Unterschiede in der Nutzungsphase. Die Befragten stehen aktuell vor der Nutzung von vor allem teilautonomen KI-Systemen, die ausführende und analytische menschliche Tätigkeitenbeispielsweise durch Informationsbereitstellungen unterstützen. Wesentliche Ziele der KI-Nutzung sind die Effizienzsteigerung, Qualitätsverbesserung, Entscheidungsoptimierung sowie Unterstützung der Arbeitnehmer*innen. Allerdings werden in allen Unternehmen die fehlende Expertise sowie insgesamt die Komplexität des Themenfelds als Hinderungsgründe identifiziert. In allen Unternehmen und allen Unternehmensbereichen werden hohe Auswirkungen durch KI erwartet. Auf die Arbeitsgestaltung werden insgesamt eher positive Auswirkungen erwartet. Die Befragten schätzen die Bedeutung von KI, ihre Aufgeschlossenheit sowie ihr Vertrauen gegenüber KI als insgesamt hoch ein, ihr Verständnis von KI dagegen eher als gering. Tendenziell zeigt sich eine große Diskrepanz zwischen Selbst- und Fremdbild mit einer teils deutlich negativeren Wahrnehmung anderer. Die Befragten erwarten außerdem steigende Kompetenzanforderungen sowie einen hohen Weiterbildungsbedarf, insbesondere bezüglich des grundlegenden Verständnisses über KI. In den wenigsten Unternehmen existiert jedoch ein gezieltes Weiterbildungsangebot. Die Erkenntnisse aus der Befragung fließen im Rahmen des Kompetenzzentrums Arbeitswelt.Plus in die gezielte Gestaltung und Einführung KI-gestützter Arbeitsformen sowie bedarfsgerechter Unterstützungsangebote ein. Die hohe Komplexität der KI-Einführung sowie die sowohl technischen als auch mitarbeiterbezogenen Herausforderungen verdeutlichen den Bedarf für eine soziotechnische Perspektive und ein systematisches Vorgehen bei der Gestaltung dieses vielschichtigen Themenfelds.}}, author = {{Papenkordt, Jörg and Gabriel, Stefan and Thommes, Kirsten and Dumitrescu, Roman}}, publisher = {{Kompetenzzentrum Arbeitswelt.Plus}}, title = {{{Künstliche Intelligenz in der industriellen Arbeitswelt}}}, doi = {{10.55594/tmao3234}}, year = {{2022}}, } @article{44637, 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 = {{2022}}, } @article{34295, 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}}, year = {{2022}}, }