Emotion-adaptive Systems

Ivo Benke


AI-based, digital technologies will shape the way we work, learn, and live. We collaborate via digital platforms like MS Teams and Slack, meet with zoom, and use Mixed Reality to interact virtually. This will change our traditional work activities. Further, we will learn with learning management systems and apps. Artificial intelligence will provide us with an intelligent experience and integrate these applications into continous environments.
While we change our activities, this has also impact on human emotions. Their handling in these environments is challenging with complex emotional experiences. This can lead to negative effects on the personal performance, collaboration, and well-being.
However, AI technologis provide us with the opportunity to recognize human emotions via human expressions such as text, speech, or biosignals. We can leverage this emotional information to support humans in their digital work and learning activities. Therefore, design emotion-adaptive systems that understand and adapt to emotions during collaboration and learning activities in digital environments.

To design emotion-adaptive systems we leverage biosignal signal sensor technologies as well as AI-based technologies to understand emotional processes. Based on these, we design adaptation mechanisms in emotion-adaptive systems for higher productivity and well-being of humans in hybrid work and learning.

In our research, we focus on the following areas:

  • Emotional competence development and emotion regulation strategies
  • Collaboration, Leadership and autonomy support
  • Self-regulated learning
  • (Conversational) crowd work

Research Activities

Emotion-adaptive Systems for Emotional Competence Development

We design emotion-adaptive systems for emotional competence development in video meetings and group chats. Examples are text- and speech-based emotion-adaptive chatbots or the retrospective competence development dashboard for video meetings, TeamSpiritous.





Read more on emotion-adaptive chatbots or check out TeamSpiritous


Leadership & Autonomy in Hybrid Work

Leadership is a core competence for successful teamwork. We apply emotion-adaptive capabilities to support leaders in virtual team meetings and develop conversational crowdworking applications to provide crowdworkers an improved experience.

To balance downsides which come with the involvemnet of AI-based systems, we develop design features for emotion-adaptive system to overcome humans' fear of a lack of autonomy.





Read more on leadership smart assistants and design for autonomy


Adaptive Systems for Emotional Regulation in Self-regulated Learning

Self-regulated learning has become a key competence for individuals (both in education and work) to succeed in learning. In our ongoing research, we investigate the effects of emotions in the self-regulated learning process by using physiological devices (e.g., wearables, EEG).








EnTIS – EnBW Tax Information System

In cooperation with EnBW and University of Mannheim, the EnTIS project aims at developing information systems for tax professionals. A major focus is how users can be supported in knowledge intensive tasks and how these users interact with the system. 





Read more about this project or get in contact


Designing a mobile Flow Dashboard App to support Knowledge Workers in Self-Management

Flow is defined as a “state in which people are so involved in an activity that nothing else seems to matter” (Csikzentmihalyi, 1975). Because of its link to improved individual performance and well-being, flow is particularly desirable in the work context. However, ...



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Designing a Flow-Adaptive Notification System using a Machine Learning Classifier based on Heart Rate Variability

Digital notifications, e.g., from instant messaging applications, can interrupt employees’ flow at work, affecting desirable outcomes such as well-being or task performance. However, ...



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Classification of Flow, Anxiety and Boredom based on Heart Rate Variability using Machine Learning

Flow is deemed a desirable state due to its links to improved individual performance and well-being. However, current methods are obtrusive and cannot measure flow during activity execution. This research responds to the challenge of ...



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Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning -Preliminary Results from a Field Study

With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data.



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Alexander Mädche  Prof. Dr. Alexander Mädche


Team Lead

Dr. Ivo Benke  Dr. Ivo Benke


Doctoral Researchers

 Julia Seitz

M.Sc. Moritz Langner  Sven Scheu

 Kirsten Greiner

  Elias Müller



Associated Researchers

Saskia Haug


Research Assistants

Interested in our topics? We are looking for ambiguous students!
Check out our job openings below or send us an email now and join our team as a research assistant!






Open positions

Currently, we are searching for a highly motivated student for a research assistant position on the development systems that recognize emotions and emotion regulation in hybrid work and learning scenarios. As a research assistant you will experience and be part of contemporary research advances in AI-based emotion recogntion and hybrid work and learning. More information here!

Publication List

The Human-in-the-loop CrowdSurfer Concept: Providing User-centered AI Support to Crowdworkers for Improved Working Conditions and Task Outcomes
Benke, I.; Haug, S.; Maedche, A.
2023. Proceedings UCAI ’23: Workshop on User-Centered Artificial Intelligence at Mensch und Computer 2023
Scalable Design Evaluation for Everyone! Designing Configuration Systems for Crowd-Feedback Request Generation
Haug, S.; Sommerrock, S.; Benke, I.; Mädche, A.
2023. Mensch und Computer 2023, 91–100, Association for Computing Machinery (ACM). doi:10.1145/3603555.3603566
Annotating Affect in the Field: A Case Study on the Usability of a Minimalist Smartwatch User Interface for Affect Annotation
Schneegans, T.; Niclas, A.; Greiner, K.; Benke, I. Dr.; Mädche, A. Prof. Dr.; Beigl, M.
2023. Proceedings of the The 2nd EmpathiCH workshop (CHI2023)
Aligning Crowdworker Perspectives and Feedback Outcomes in Crowd-Feedback System Design
Haug, S.; Benke, I.; Maedche, A.
2023. Proceedings of the ACM on human-computer interaction, 7 (CSCW1), Art.-Nr.: 23. doi:10.1145/3579456
A State of the Art Overview on Biosignal-based User-Adaptive Video Conferencing Systems
Seitz, J.; Krisam, C.; Benke, I.
2023. 18th International Conference on Wirtschaftsinformatik, September 2023, Paderborn, Germany
HUBII – Towards an Open Human Biosignal Intelligence Platform
Benke, I.; Müller, E.; Mädche, A.
2023. Proceedings NeuroIS Retreat 2023, 274–280
Designing AMSL – A Mobile Digital Assistant for Self- Regulated Learningregulated Learning
Scheu, S.; Kuhlmeier, F. O.; Müller, L. N.; Benke, I.
2023. ECIS 2023 Proceedings, AIS eLibrary (AISeL)
CrowdSurfer: Seamlessly Integrating Crowd-Feedback Tasks nto Everyday Internet Surfing
Haug, S.; Benke, I.; Fischer, D.; Maedche, A.
2023. CHI ’23: CHI Conference on Human Factors in Computing Systems Hamburg Germany April 23 - 28, 2023. Ed.: A. Schmidt, Art.-Nr.: 553, Association for Computing Machinery (ACM). doi:10.1145/3544548.3580994
TeamSpiritous - A Retrospective Emotional Competence Development System for Video Meetings
Benke, I.; Schneider, M.; Liu, X.; Mädche, A.
2022. Proceedings of the ACM on human-computer interaction, 6 (CSCW2), Art.-Nr.: 392. doi:10.1145/3555117
Understanding the impact of control levels over emotion-aware chatbots
Benke, I.; Gnewuch, U.; Maedche, A.
2022. Computers in human behavior, 129, Art.-Nr.: 107122. doi:10.1016/j.chb.2021.107122
Emotion-Adaptive Learning Systems for Transferrable Skill Learning
Zahn, E.; Benke, I.; Soellner, M.; Mädche, A.
2022. Proceedings of the 2022 AIS SIGED International Conference on Information Systems Education and Research, 175–179, Association for Information Systems (AIS)
Emotion Adaptive Learning Systems for Transferrable Skill Learning
Zahn, E.; Benke, I.; Soellner, M.; Mädche, A.
2022. Proceedings of the 2022 AIS SIGED International Conference on Information Systems Education and Research
Fatigued by yourself? Towards understanding the impact of self-view designs in virtual meeting software
Seitz, J.; Benke, I.; Mädche, A.
2022. SIGHCI 2022, HCI/MIS Workshop 2022 - The 21st Annual Pre-ICIS Workshop on HCI Research in MIS, Copenhagen, Denmark, December 11, 2022
Digital Assistants for Self-Regulated Learning: Towards a State- Of-The-Art Overview
Scheu, S.; Benke, I.
2022. Thirtieth European Conference on Information Systems (ECIS 2022), Timișoara, Romania, Paper Number: 1787, AIS eLibrary (AISeL)
LeadBoSki: A Smart Personal Assistant for Leadership Support in Video-Meetings
Benke, I.; Vetter, S.; Maedche, A.
2021. Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing. Ed.: J. Birnholtz, 19–22, Association for Computing Machinery (ACM). doi:10.1145/3462204.3481764
The Relationship of Collaboration Technologies and Cognition and Affect
Benke, I.; Heinzl, A.; Maedche, A.
2021. Proceedings of the 54th Annual Hawaii International Conference on System Sciences, January 4-8, 2021. Ed.: T. X. Bui, 701–711, College of Education University of Hawai‘i at Manoa
Chatbot-based Emotion Management for Distributed Teams: A Participatory Design Study
Benke, I.; Knierim, M. T.; Maedche, A.
2020. Proceedings of the ACM on human-computer interaction, 4 (CSCW2), Article No.: 118. doi:10.1145/3415189
On Implementing Ethical Principles in Design Science Research
Benke, I.; Feine, J.; Venable, J. R.; Maedche, A.
2020. AIS transactions on human-computer interaction, 12 (4), 206–227. doi:10.17705/1thci.00136
Exploring Design Principles for Enterprise Chatbots: An Analytic Hierarchy Process Study
Feine, J.; Adam, M.; Benke, I.; Maedche, A.; Benlian, A.
2020. 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
Towards Design Principles for Trustworthy Affective Chatbots for Virtual Teams
Benke, I.
2020. ECIS 2020 Proceedings - Twenty-Eighth European Conference on Information Systems, Marrakesh, Marokko, June 15 - 17, 2020, AIS eLibrary (AISeL)
Discovering Core Modules of Platform-based Software Ecosystems for Non-Profit Sport Organizations
Benke, I.; Guth, P.; Rietz, T.; Maedche, A.
2020. Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik (WI2020), Potsdam, 08.-11-03.2020
Vom ersten Schritt bis zum Dauerlauf. Wie bringt man Usability und User Experience (UUX) ins Unternehmen
Burmester, M.; Laib, M.; Benke, I.; Minge, M.
2019. Mensch und Computer 2019 - Workshopbeiträge, 8.-11. September 2019, Hamburg. Hrsg.: F. Steinicke, Gesellschaft für Informatik (GI). doi:10.18420/muc2019-ws-287
Humane Anthropomorphic Agents: The Quest for the Outcome Measure ; Position Paper
André, E.; Bayer, S.; Benke, I.; Benlian, A.; Cummins, N.; Gimpel, H.; Hinz, O.; Kersting, K.; Mädche, A.; Mühlhäuser, M.; Riemann, J.; Schuller, B. W.; Weber, K.
2019. AIS SIGPrag, Munich, 15-18 December 2019, 2019 pre-ICIS workshop proceedings "Values and Ethics in the Digital Age", Munich, 14.12.2019
Towards an Actionable Ethical Compass for Developing AI-enabled Artifacts in Design Science Research
Benke, I.; Feine, J.; Venable, J. R.; Maedche, A.
2019. AIS SIGPrag, Munich, 15-18 December 2019, 2019 pre-ICIS workshop proceedings "Values and Ethics in the Digital Age", Munich, 14.12.2019
Social Augmentation of 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
The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance
Rietz, T.; Benke, I.; Maedche, A.
2019. 14. Internationale Tagung Wirtschaftsinformatik (WI2019)
UUX-Praxis im Wandel: Usability und User Experience in Zeiten der Digitalisierung
Burmester, M.; Benke, I.; Döbelt, S.; Minge, M.; Stein, E.; Stevens, G.
2018. Mensch und Computer 2018 - Workshopband, 02.-05.September 2018, Dresden. Hrsg.: R. Dachselt, 461–472, Gesellschaft für Informatik (GI). doi:10.18420/muc2018-ws09-0546
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, AIS eLibrary (AISeL)