Emotion-Adaptive Systems for Hybrid Work & Learning

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Overview

The future of work and learning will be hybrid. AR and VR technologies become commodities for every user and blur the boundaries between desktop-based, augmented, and virtual environments. Individuals and teams collaborate simultaneously from different and same locations, and AI-based support tools will enrich the work and learning experiences. This environment is challenging for the user with complex emotional experiences. To support the users in their work and learning processes in hybrid work we design systems that are able to understand and adapt to emotions.

In our research, we focus on the following areas:

  • Emotional competence and emotion regulation strategies
  • Leadership and autonomy support
  • (Conversational) crowdworking
  • Emotions and Self-regulated learning

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

 

Professor

Alexander Mädche  Prof. Dr. Alexander Mädche

 

Team Lead

Dr. Ivo Benke  Dr. Ivo Benke

 

Doctoral Researchers

M.Sc. Moritz Langner  Sven Scheu

 

 

Associated Researchers

Saskia Haug
 Julia Seitz

 

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!

 

Partners

 

 

 

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!

Theses
Title Subject Supervisor Person in Charge
Contact hypothesis, Conflict management, Information technology, Political discourse
Emotions, Group chats, Dataset, Machine learning

Publication List


2022
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
2021
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
2020
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
2019
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 e.V.  (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)
2018
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 e.V.  (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)