Interactive Business Intelligence & Processes

We design interactive business intelligence & processes for increasing effective use in enterprise systems

Research Activities

 

Multimodal COVID-19 Dashboards

Dashboards became very popular during the COVID-19 pandemic to help people better understand the spread of the virus. But dashboards are complex user interfaces and less tech-savvy users may struggle to access the information they need. Why not give users the opportunity to use both mouse and natural language to navigate the dashboard?

 

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Conversational Assistance in Forecasting Support Systems

Accurate forecasting decisions are important for many supply chain-based companies. However, decision makers often tend to trust their own beliefs more than advice from forecasting support systems (FSS), which prepare forecasts and support the forecasting process. Therefore, we explore how providing conversational assistance can help decision makers better understand the FSS and its forecasts in order to make more accurate forecasting decisions.

 

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Interactive Task Learning for Natural Language Interfacesof Data Visualization Tools

Natural language interfaces (NLIs) are increasingly shifting away from a one-size-fits-all design by allowing end users to teach NLIs how to correctly perform their natural language (NL) inputs (e.g., Siri, Google Assistant). With our ONYX we investigate how the promising concept of interactive task learning (ITL) can be utilized to enable end users to teach NLIs. ITL-based systems are inspired by how we teach humans new tasks and do not require end users to familiarize themselves with a programming language.

 

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Designing Guidance Systems in Business Intelligence & Analytics

Today’s organizations rely on BI&A to make smarter and faster decisions. BI&A refers to all techniques, technologies, systems, and applications that analyze critical business and market and make timely business decisions. But to make use of large amounts of data and hence support decision-making, data must be analyzed, and this requires analytical and technical skills on the part of humans. However, while the available data is growing exponentially simultaneously, the number of people with analytical and technical skills is increasing only slowly. Thus, this skill gap puts pressure on the labor market and increases the need for human resources with these skills. Recent research has highlighted several user-related challenges, ranging from problems accessing and using the data to difficulties using the current tools to even issues in interpreting the resulting outcomes due to users’ limited skills. One promising attempt to address these challenges could relate to the concept of guidance. Guidance is a computer-assisted process that aims to actively resolve a skill gap encountered by users. Hereby, guidance can assist users in decision making, problem-solving, and task execution during system use. Therefore, the goal is to develop guidance systems in BI&A that support business users with limited analytical skills when analyzing data.

 

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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

 

Partners

Bosch

EnBW
BASF
Carnegie Mellon University

 

Interested in our topics? Send us an email now and join our team as a student research assistant!

 

Publications


2024
Paintings, Not Noise—The Role of Presentation Sequence in Labeling
Knäble, M.; Nadj, M.; Mädche, A.
2024. Interacting with Computers, Art.-Nr.: iwae008. doi:10.1093/iwc/iwae008
2023
ONYX: Assisting Users in Teaching Natural Language Interfaces Through Multi-Modal Interactive Task Learning
Ruoff, M.; Myers, B. A.; Maedche, A.
2023. CHI ’23: CHI Conference on Human Factors in Computing Systems Hamburg Germany April 23 - 28, 2023. Ed.: A. Schmidt, Art.-Nr.: 417, Association for Computing Machinery (ACM). doi:10.1145/3544548.3580964
Designing an Analytical Control Chart System with ML-predicted Quality Characteristics
Schelhorn, T. C.; Gunklach, J.; Maedche, A.
2023. LWDA 2023 : Lernen, Wissen, Daten, Analysen 2023. Ed.: M. Leyer, 14–27, RWTH Aachen
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions
Nadj, M.; Rissler, R.; Adam, M. T. P.; Knierim, M. T.; Li, M. X.; Mädche, A.; Riedl, R.
2023. MIS quarterly, 47 (4), 1615–1646
Designing Interactive Explainable AI Systems for Lay Users
Meza Martínez, M. A.; Mädche, A.
2023. Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies ICIS 2023, 1–17, AIS eLibrary (AISeL)
Designing Conversational Dashboards for Effective Use in Crisis Response
Ruoff, M.; Gnewuch, U.; Mädche, A.; Scheibehenne, B.
2023. Journal of the Association for Information Systems, 24 (6), 1500–1526. doi:10.17705/1jais.00801
Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation using Eye-tracking Technology
Meza Martínez, M. A.; Nadj, M.; Langner, M.; Toreini, P.; Maedche, A.
2023. ACM Transactions on Interactive Intelligent Systems. doi:10.1145/3607145
Metadata Extraction from User Queries for Self-Service Data Lake Exploration
Gunklach, J.; Michalczyk, S.; Nadj, M.; Maedche, A.
2023. Datenbank-Spektrum, 23, 97–105. doi:10.1007/s13222-023-00448-z
Guidance in Business Intelligence & Analytics Systems: A Review and Research Agenda
Gunklach, J.; Nadj, M.
2023. ECIS 2023 Proceedings, AIS eLibrary (AISeL)
Beyond Dashboards? Designing Data Stories for Effective Use in Business Intelligence and Analytics
Gunklach, J.; Jacob, K.; Michalczyk, S.
2023. ECIS 2023 Proceedings, AIS eLibrary (AISeL)
AutoChemplete - Making Chemical Structural Formulas Accessible
Knaeble, M.; Sailer, G.; Chen, Z.; Schwarz, T.; Yang, K.; Nadj, M.; Stiefelhagen, R.; Maedche, A.
2023. W4A ’23: 20th International Web for All Conference Austin TX USA 30 April 2023- 1 May 2023, 173–174, Association for Computing Machinery (ACM). doi:10.1145/3587281.3587293
2022
The Impact of Conversational Assistance on the Effective Use of Forecasting Support Systems: A Framed Field Experiment : Short Paper
Haug, S.; Ruoff, M.; Gnewuch, U.
2022. ICIS 2022 Proceedings. Vol.: 2, 1–9, AIS eLibrary (AISeL)
Designing a Self-Service Analytics System for Transportation Supplier Selection
Michalczyk, S.; Breitling, N.; Mädche, A.
2022. Intelligent Information Systems : CAiSE Forum 2022, Leuven, Belgium, June 6–10, 2022, Proceedings. Ed.: J. De Weerdt, 64–72, Springer
ONYX - User Interfaces for Assisting in Interactive Task Learning for Natural Language Interfaces of Data Visualization Tools
Ruoff, M.; Myers, B. A.; Maedche, A.
2022. CHI EA ’22: CHI Conference on Human Factors in Computing Systems Extended Abstracts: April 30–May 5, 2022 ; New Orleans, LA, USA. Ed.: S. Barbosa, Art.-Nr.: 433, Association for Computing Machinery (ACM). doi:10.1145/3491101.3519793
Multiexperience
Gnewuch, U.; Ruoff, M.; Peukert, C.; Maedche, A.
2022. Business & Information Systems Engineering, 64 (6), 813–823. doi:10.1007/s12599-022-00766-8
Paintings, not Noise - The Role of Variety and Self-Determination in Labeling Work and its Effects on Psychological and Performance Outcomes
Knaeble, M.; Nadj, M.; Maedche, A.
2022. CHI 2022 Workshop - Self-Determination Theory in HCI: Shaping a Research Agenda
Toward User-adaptive Interactive Labeling on Crowdsourcing Platforms
Knaeble, M.; Nadj, M.; Maedche, A.; Loewe, N.
2022. CHI 2022 Workshop - REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration
2021
Designing a Self-service Analytics System for Supply Base Optimization
Michalczyk, S.; Nadj, M.; Beier, H.; Mädche, A.
2021. CAiSE ’21- 33rd International Conference on Advanced Information Systems Engineering, MELBOURNE, 28 JUNE 2021 - 2 JULY 2021, 154–161. doi:10.1007/978-3-030-79108-7_18
Is This System Biased? – How Users React to Gender Bias in an Explainable AI System
Jussupow, E.; Meza Martínez, M. A.; Mädche, A.; Heinzl, A.
2021. 42nd International Conference on Information Systems, Association for Information Systems (AIS)
Ensuring a Robust Multimodal Conversational User Interface during Maintenance Work
Fleiner, C.; Riedel, T.; Beigl, M.; Ruoff, M.
2021. MuC ’21: Mensch und Computer 2021. Ed.: S. Schneegass, 79–91, Association for Computing Machinery (ACM). doi:10.1145/3473856.3473871
An Interactive Machine Learning System for Image Advertisements
Foerste, M.; Nadj, M.; Knaeble, M.; Maedche, A.; Gehrmann, L.; Stahl, F.
2021. Mensch und Computer 2021 (MuC ’21), Ingolstadt, 5.-8.9.2021, 574–577, Association for Computing Machinery (ACM). doi:10.1145/3473856.3474027
Designing Conversational Dashboards for Effective Use in Crisis Response
Ruoff, M.; Gnewuch, U.
2021. ECIS 2021 Proceedings - European Conference on Information Systems. Human Values Crisis in a Digitizing World, Article no: 1698, Association for Information Systems (AIS)
Designing Multimodal BI&A Systems for Co-Located Team Interactions
Ruoff, M.; Gnewuch, U.
2021. ECIS 2021 Proceedings - European Conference on Information Systems. Human Values Crisis in a Digitizing World, Article no: 1610, Association for Information Systems (AIS)
Demystifying Job Roles in Data Science: A Text Mining Approach
Michalczyk, S.; Nadj, M.; Mädche, A.; Gröger, C.
2021. ECIS 2021 Proceedings - European Conference on Information Systems. Human Values Crisis in a Digitizing World, Paper Number: 1622, Association for Information Systems (AIS)
2020
The effect of interactive analytical dashboard features on situation awareness and task performance
Nadj, M.; Maedche, A.; Schieder, C.
2020. Decision support systems, 135, Art.Nr.: 113322. doi:10.1016/j.dss.2020.113322
Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning
Knaeble, M.; Nadj, M.; Maedche, A.
2020. 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam, 9 - 11 März 2020, 2–16, GITO Verlag. doi:10.30844/wi_2020_a1-knaeble
Designing Multimodal BI&A Systems for Face-to-Face Team Interactions
Ruoff, M.; Gnewuch, U.; Alexander Maedche
2020. HCI/MIS Workshop 2020 – The 19th Annual Pre-ICIS Workshop on HCI Research in MIS, December 12, 2020, (One-Day Online Workshop), AIS eLibrary (AISeL)
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.
2020. 40th International Conference on Information Systems (ICIS 2019), München, 15.-18. Dezember 2019, AIS eLibrary (AISeL)
Designing an Analytical Information Systems Engineering Method
Michalczyk, S.; Scheu, S.
2020. Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference (Marrakesh, Marokko), June 15-17, 2020, Art.Nr. 57, AIS eLibrary (AISeL)
A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics
Michalczyk, S.; Nadj, M.; Azarfar, D.; Mädche, A.; Gröger, C.
2020. Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference (Marrakesh, Marokko), June 15-17, 2020, Art.Nr. 46, AIS eLibrary (AISeL)
Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning
Nadj, M.; Knaeble, M.; Li, M. X.; Maedche, A.
2020. Künstliche Intelligenz, 34, 131–142. doi:10.1007/s13218-020-00634-1
2019
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
Towards an Integrative Theoretical Framework of Interactive Machine Learning Systems
Meza Martínez, M. A.; Nadj, M.; Maedche, A.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 172, AIS eLibrary (AISeL)
2018
Towards increased business model comprehension – principles for an advanced business model tool
Augenstein, D.; Fleig, C.
2018. Designing for business model comprehension - Principles for an extended business model tool - European Conference on Information Systems (ECIS), Portsmouth, UK, June 23rd – 28th 2018, 1–11, AIS eLibrary (AISeL)
Development of a data-driven business model transformation tool
Augenstein, D.; Fleig, C.; Mädche, A.
2018. Designing for a Digital and Globalized World: 13th International Conference, DESRIST 2018, Chennai, IND, June 3-6, 2018, Proceedings. Ed.: S. Chatterjee, 205–217, Springer International Publishing. doi:10.1007/978-3-319-91800-6_14
KeyPro - A Decision Support System for Discovering Important Business Processes in Information Systems
Fleig, C.; Augenstein, D.; Maedche, A.
2018. CAiSE Forum 2018 - Information Systems in the Big Data Era - International Conference on Advanced Information Systems Engineering, Tallinn, EST, June 11-15, 2018. Ed.: J. Mendling, 90–104, Springer. doi:10.1007/978-3-319-92901-9_9
Towards value proposition mining - Exploration of design principles
Augenstein, D.; Fleig, C.; Dellermann, D.
2018. 39th International Conference on Information Systems, ICIS 2018: Proceedings, 9 S., Association for Information Systems (AIS)
Suitability of event-based prompts in experience sampling studies focusing on location changes
Exler, A.; Kramer, S.; Meza Martínez, M. A.; Navolskyi, C.; Vogt, M.; Beigl, M.
2018. 7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017; Vienna; Austria; 14 November 2017 through 15 November 2017, 163–168, Springer. doi:10.1007/978-3-319-98551-0_19
Designing Uncertainty-Aware Dashboards for Software Development Projects
Knaeble, M.; Nadj, M.; Maedche, A.
2018. 13th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Chennai, IND, June 3-6, 2018, 1–15
Development of a Measurement Scale for Business Process Standardization
Wurm, B.; Mendling, J.; Schmiedel, T.; Fleig, C.
2018. European Conference on Information Systems 2018 (ECIS 2018), Portsmouth, UK, June 23 - 28, 2018
Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects
Fleig, C.; Augenstein, D.; Mädche, A.
2018. Business Process Management Forum: BPM Forum 2018. Sydney, NSW, Australia, September 9-14, 2018. Proceedings. Ed.: Mathias Weske, 228–244, Springer Nature. doi:10.1007/978-3-319-98651-7_14
Process Mining for Business Process Standardization in ERP Implementation Projects – An SAP S/4 HANA Case Study from Manufacturing
Fleig, C.; Augenstein, D.; Mädche, A.
2018. 16th International Conference on Business Process Management (BPM), Sydney, AUS, September 9-14, 2018
Tell Me What’s My Business – Development of a Business Model Mining Software
Fleig, C.; Augenstein, D.; Maedche, A.
2018. CAiSE Forum 2018 - Information Systems in the Big Data Era - International Conference on Advanced Information Systems Engineering, Tallinn, Estonia, 11-15 June 2018. Ed.: J. Mendling, 105–113, Springer. doi:10.1007/978-3-319-92901-9_10