This page lists selected (innovation) prototypes resulting from previous research projects of the research group.
Massimo – A Human-Like Chatbot
In our research in the field of chatbots (see) , we investigate the design and implementation of chatbots from a user-centered perspective. Complementing the large body of work on their technical aspects, we specifically focus on how to design and evaluate the human-like elements of chatbots in order to enhance user experiences in domains such as customer service, healthcare, and smart home. Massimo demonstrates the differences between a human-like and a neutral design of chatbots. Massimo was developed in cooperation with sogedes digital and demonstrated at DMEXCO, see.
Attentive Information Dashboards to Support Task Resumption in Working Environments
Interruptions are known as one of the big challenges in working environments. Due to improper resuming the primary task, such interruptions may result in task resumption failures and negatively inﬂuence the task performance. This phenomenon also occurs when users are working with information dashboards in working environments. To address this problem, an attentive dashboard issuing visual feedback is developed. This feedback supports the user in resuming the primary task after the interruption by guiding the visual attention. The attentive dashboard captures visual attention allocation of the user with a low-cost screen-based eye-tracker while they are monitoring the graphs. This dashboard is sensitive to the occurrence of external interruption by tracking the eye-movement data in real-time. Moreover, based on the collected eye-movement
data, two types of visual feedback are designed which highlight the last fixated graph and unnoticed ones.
This prototype was presented at 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA 2018) and you can download the demo paper from here.
Designing Uncertainty-Aware Dashboards for Software Development Projects
Despite significant advances in risk management methods and tools for software development, the information technology (IT) industry is still plagued with poorly performing software development projects. In this respect, scholars acknowledge the role of data uncertainty in the planning and management efforts of software development projects as a potential area for further improvements. However, current information systems (IS) research lacks design guidelines how to measure and visualize data uncertainty within such projects. Against this backdrop, we conducted a design science research (DSR) project with an industry partner from the automotive sector and present the results of the first design cycle. In particular, we suggest to design an uncertainty-aware dashboard for software development project management based on a supervised machine learning (ML) approach. We evaluate the artifact with multiple performance metrics and achieve accuracy scores above 80% that significantly surpass the current estimation efforts from our industry partner. Our findings may serve as a foundation for future research efforts aiming to address data uncertainty and aspects that should be considered when designing related dashboard solutions.
MyDesignProcess: Tool-Support for Design Processes
Design Science Research (DSR) is now an accepted research paradigm in the Information Systems (IS) field, aiming at developing purposeful IT artifacts and knowledge about the design of IT artifacts. A rich body of knowledge on approaches, methods, and frameworks supports researchers in conducting DSR projects. While methodological guidance is abundant, there is no dedicated software solution that supports researchers in applying this guidance, and in structuring and managing their DSR projects. We developedMyDesignProcess.com, a web-based DSR project tool that enables researchers and teams of researchers to structure, document, maintain, and present their DSR projects, including the resulting design knowledge and artifacts. The tool is aimed to increase traceability, collaboration, and quality in DSR projects.
ServiceDesignKIT: Design Techniques Selection and Application Support
ServiceDesignKIT provides a comprehensive overview of existing design techniques for digital services and supports their selection and application. Each design technique is represented by flipcards including a short description as well as a step-by-step instruction on how to execute it. It combines a top-down taxonomy-based classification and a bottom-up tag-based classification with an interactive search function allowing easy access to the design techniques. ServiceDesignKIT is an open platform allowing people to contribute with comments and add further design techniques.
REMINER: A Requirements Mining System
In large IS projects a huge number of natural language documents becomes available and needs to be analyzed and transformed into structured requirements. This elicitation process is known to be time-consuming and error-prone when performed manually by a requirements engineer.
Following a design science approach, we conceptualized design principles for semi-automated requirements elicitation systems and instantiated them in a software prototype called REMINER. REMINER leverages natural language processing and text mining techniques to identify and highlight possible requirements in a natural language document. By doing so, it assists the requirements engineering in the elicitation process. Lab experiments have shown that REMINER significantly increases requirements productivity. Further details are described here.
ITSM ProcessGuide: A Process Guidance System
The following process guidance prototype was developed in the context of a master thesis in cooperation with the company Freudenberg Sealing Technologies. The so called ITSM ProcessGuide supports the employees of the various IT departments in the execution of the IT Ticketing processes. The prototype is used productively at Freudenberg Sealing Technologies and the conducted evaluation confirms the design and the effects on the employees' process knowledge and process execution performance.
As part of the master team project Smarticity, students implemented an innovative prototype for visualizing energy consumption of households. In contrast to traditional consumption-data portals, here consumers get an overview of the consumption of single household appliances, such as TV, stove, PC, etc. Thus users get actionable insights to reduce their energy demand.
Process Visibility Fit Assessment
In the context of the project
Industry Partner: SAP SE, Commerz Business Consulting GmbH
UIG Diagnosis Tool
65% of enterprises mention usability as an important role for selecting the right software for their business. Therefore software companies can bring differentiation benefits by investing in usability. But how successful and effective does your company already turn common usability procedures into reality? The platform below provides a self-test, designed for estimating the usability level of your product.
Co-operation partner: Usability in Germany (UIG) e.V.
GoMobile - Augmented Reality in the Bicycle Industry
Students from the University of Mannheim developed an augmented reality system in our project GoMobile which enhances the repair process in the bicycle industry.
Cooperation partners: SAP SE, Vuzix Corporation, Radsport Altig
InES participates in the WeChange project funded by the German Federal Ministry of Education and Research as well as the DLR (the German National Aeronautics and Space Research Centre). A decentralized knowledge and support platform targeting the retention of innovation capacity under the influence of demographic change is one result of the project.
Partner: European Research Center for Information Systems, WWU Münster; CAS Software AG