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   
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