Interactive Business Intelligence & Analytics 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.

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.

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.

Professor

Prof. Dr. Alexander Mädche

Team Lead

Dr. Ulrich Gnewuch

Doctoral Researchers

Marcel Ruoff

Jonas Gunklach

Till Carlo Schelhorn

Student Research Assistants

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

Partners

Publications

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

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)

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

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

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

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

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)

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)