Publikationen
Nachfolgende Liste enthält eine Auswahl relevanter wissenschaftlicher Zeitschriften und Konferenzbeiträge, die im Bereich Flow, Chatbots und verteilte Teams durch das Karlsruher Institut für Technologie veröffentlicht wurden.
2021 |
Predicting In-Field Flow Experiences Over Two Weeks From ECG Data: A Case Study. Knierim, M.; Pieper, V.; Schemmer, M.; Loewe, N.; Reali, P. NeuroIS Retreat 2021: June 1-3, 2021 |
2020 |
Achieving Effective Use When Digitalizing Work: The Role of Representational Complexity. Lauterbach, J.; Mueller, B.; Kahrau, F.; Maedche, A. MIS quarterly, 44 (3), 1023–1048. doi:10.25300/MISQ/2020/14583 |
A Chatbot Response Generation System. Feine, J.; Morana, S.; Maedche, A. MuC ’20: Proceedings of the Conference on Mensch und Computer, September 6–9, 2020, Magdeburg, Germany. Ed.: B. Preim, 333–341, Association for Computing Machinery (ACM). doi:10.1145/3404983.3405508 |
Chatbot-based Emotion Management for Distributed Teams: A Participatory Design Study. Benke, I.; Knierim, M. T.; Maedche, A. Proceedings of the ACM on human-computer interaction, 4 (CSCW2), Article No.: 118. doi:10.1145/3415189 |
Designing Interactive Chatbot Development Systems. Feine, J.; Morana, S.; Maedche, A. Forty-First International Conference on Information Systems (ICIS), December 13-16, 2020, Art.-Nr.: 1870, Association for Information Systems (AIS) |
Exploring Design Principles for Enterprise Chatbots: An Analytic Hierarchy Process Study. Feine, J.; Adam, M.; Benke, I.; Maedche, A.; Benlian, A. Designing for digital transformation : co-creating services with citizens and industry : 15th international conference on design science research in information systems and technology, DESRIST 2020, Kristiansand, Norway, December 2-4, 2020 : proceedings. Ed.: Sara Hofmann, 126–141, Springer Verlag. doi:10.1007/978-3-030-64823-7_13 |
To Be or Not to Be in Flow at Work: Physiological Classification of Flow using Machine Learning. Rissler, R.; Nadj, M.; Li, M. X.; Loewe, N.; Knierim, M. T.; Maedche, A. 2020. IEEE transactions on affective computing. doi:10.1109/TAFFC.2020.3045269 |
Physio-Adaptive Systems- A State-of-the-Art Review and Future Research Directions. Loewe, N.; Nadj, M. 2020. Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference, June 15-17, 2020. doi:10.5445/IR/1000120026 |
My Virtual Colleague: A State-of-the-Art Analysis of Conversational Agents for the Workplace . Feng, S.; Buxmann, P. 2020. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), Maui, 07.-10. Januar 2020. doi: 10.24251/HICSS.2020.020 |
Towards Design Principles for Trustworthy Affective Chatbots for Virtual Teams. Benke, I. ECIS 2020 Proceedings – Twenty-Eighth European Conference on Information Systems, Marrakesh, Marokko, June 15 – 17, 2020, AIS eLibrary (AISeL) |
2019 |
A Taxonomy of Social Cues for Conversational Agents. Feine, J.; Gnewuch, U.; Morana, S.; Maedche, A. International journal of human – computer studies, 132, 138–161. doi:10.1016/j.ijhcs.2019.07.009 |
AI-Based Digital Assistants – Opportunities, Threats, and Research Perspectives. Maedche, A.; Legner, C.; Benlian, A.; Berger, B.; Gimpel, H.; Hess, T.; Hinz, O.; Morana, S.; Söllner, M. Business & information systems engineering, (4), 1–10. doi:10.1007/s12599-019-00600-8 |
Designing a Chatbot Social Cue Configuration System. Feine, J.; Morana, S.; Maedche, A. 2019. 40th International Conference on Information Systems (ICIS 2019), München, 15.-18. Dezember 2019, AIS eLibrary |
Flow and optimal difficulty in the portable EEG: On the potentiality of using personalized frequency ranges for state detection. Knierim, M. T.; Nadj, M.; Weinhardt, C. 2019. CHIRA 2018 : proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications, Wien, A, September 20-21, 2019. Ed.: H.P. Silva, 183–190, SciTePress, Sétubal |
Flow in Knowledge Work Groups – Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor?. Knierim, M. T.; Nadj, M.; Li, M. X.; Weinhardt, C. 2019. ICIS 2019, Munich, Germany, December 15-18, 2019, 1–17, AISeL, Munich, Germany |
Leveraging Machine-Executable Descriptive Knowledge in Design Science Research – The Case of Designing Socially-Adaptive Chatbots. Feine, J.; Morana, S.; Maedche, A. 2019. Extending the Boundaries of Design Science Theory and Practice – 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Worcester, MA, USA, June 4–6, 2019, Proceedings. Ed.: B. Tulu, 76–91, Springer International Publishing, Cham. doi:10.1007/978-3-030-19504-5_6 |
Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis. Feine, J.; Morana, S.; Gnewuch, U. 2019. 14. Internationale Tagung Wirtschaftsinformatik (WI2019), 1115–1129 |
Social Augmentation od Enterprise Communication Systems for Virtual Teams Using Chatbots . Benke, I. 2019. Proceedings of 17th European Conference on Computer-Supported Cooperative Work, European Society for Socially Embedded Technologies (EUSSET 2019), Salzburg, A, June 8-12, 2019 |
2018 |
Enhancing Joint Attention in Collaborative Information Dashboards with Shared Gaze Awareness. Toreini, P.; Benke, I.; Langner, M.; Schaumann, S.; Schwarzenboeck, J.; Bamberger, C.; Maedche, A. 2018. SIGHCI 2018 Proceedings – HCI/MIS Workshop 2018 – The 17th Annual Pre-ICIS Workshop on HCI Research in MIS, San Francisco, California, December 13, 2018, AISeL |
Exploring Flow Psychophysiology in Knowledge Work. Knierim, M. T.; Rissler, R.; Hariharan, A.; Nadj, M.; Weinhardt, C. 2018. Information systems and neuroscience : NeuroIS Retreat 2018, [Wien, 19.-21.06.2018]. Ed.: Fred D. Davis, 239–249, Springer, Cham. doi:10.1007/978-3-030-01087-4_29 |
Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks. Knierim, M. T.; Nadj, M.; Hariharan, A.; Weinhardt, C. 2018. Proceedings of the 5th International Conference on Physiological Computing Systems (PhyCS 2018), Seville, E, September 19-21, 2018. Ed.: J.M. Belda Lois, 42–53, SciTePress, Sevilla |
Got Flow? Using Machine Learning on Physiological Data to Classify Flow. Rissler, R.; Nadj, M.; Li, M. X.; Knierim, M. T.; Maedche, A. 2018. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Montréal, Canada, 21st – 26th April 2018, Art.Nr. LBW612, ACM, New York (NJ). doi:10.1145/3170427.3188480 |
Live biofeedback as a user interface design element: A review of the literature. Lux, E.; Dorner, V.; Knierim, M. T.; Adam, M. T. P.; Helming, S.; Weinhardt, C. 2018. Communications of the Association for Information Systems, 43 (1), 257–296. doi:10.17705/1CAIS.04318 |