Refine
Departments, institutes and facilities
Document Type
- Conference Object (20)
- Article (10)
- Part of a Book (2)
- Book (monograph, edited volume) (1)
- Contribution to a Periodical (1)
Year of publication
Keywords
- Peer-to-Peer (3)
- Self-Driving Cars (3)
- Trust (3)
- Autonomous Driving (2)
- Blockchain (2)
- Privacy (2)
- Public Transport (2)
- Shared Autonomous Vehicles (2)
- Shared autonomous vehicles (2)
- Sharing Economy (2)
Trust is the lubricant of the sharing economy, especially in peer-to-peer carsharing where you leave a valuable good to a stranger in the hope of getting it backunscathed. Central mechanisms for handling this information gap nowadays are ratings and reviews of other users. The rising of connected car technology opens new possibilities to increase trust by collecting and providing e.g. driving behavior data. At the same time, this means an intrusion into the privacy of the user. Therefore, in this work we explore technological approaches that allow building trust without violating the privacy of individuals. We evaluate to what extent blockchain technology and smart contracts are suitable technologies to meet these challengesby setting upa prototype implementation of a block-chain-based carsharing approach. In this context, we present our research approachand evaluate the prototype in terms of trust and privacy.
Dieser Artikel stützt sich auf das vom 13.10.2015 bis 12.01.2016 gemeinsam durchgeführten Praxisprojekt von ORBIT und der Hochschule Bonn-Rhein-Sieg. Thema des Projekts waren die Methodenevaluation und Automatisierung von Auswertungsprozessen. Speziell ging es um die Überprüfung der von ORBIT entwickelten Methodik zur Anforderungsanalyse und Standortbestimmung – dem ORBIT-Navigator.
People are getting older because of the demographic changes and the rate of disabled people is also going up. This article shows the challenge for BPMTool developer due to these circumstances. It illustrates how these changes impact the usage of BPM-Tools based on an Evaluation of an exemplary BPMTool (Cooper & Patterson, 2007) in terms of IT-Usability and IT-Accessibility. This evaluation was conducted in a research laboratory at the university.
Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems
(2023)
Peer-to-peer sharing platforms become increasingly important in the platform economy. From an HCI-perspective, this development is of high interest, as those platforms mediate between different users. Such mediation entails dealing with various social issues, e.g., building trust between peers online without any physical presence. Peer ratings have proven to be an important mechanism in this regard. At the same time, scoring via car telematics become more common for risk assessment by car insurances. Since user ratings face crucial problems such as fake or biased ratings, we conducted a design case study to determine whether algorithm-based scoring has the potential to improve trust-building in P2P-carsharing. We started with 16 problem-centered interviews to examine how people understand algorithm-based scoring, we co-designed an app with scored profiles, and finally evaluated it with 12 participants. Our findings show that scoring systems can support trust-building in P2P-carsharing and give insights how they should be designed.
The development of fully automated vehicles is becoming more and more present in the social discussion. The image of fully automated cars is determined by automobile manufacturers and placed in the context of individual traffic. In contrast to fully autonomous private cars, fully automated public transport is already operating in some cities and is to be expanded in the future. Autonomous public transport offers great potential for the development and promotion of sustainable mobility concepts. However, the user acceptance is important for the enforcement and widespread use of these technical innovations. An online study on the acceptance of fully automated public transport based on quantitative data of a sample of N = 201 is presented. The results show a high level of familiarity with the topic and a very high level of overall intention to use fully automated public transport in the future.
The corporate landscape is experiencing an increasing change in business models due to digitization. An increasing availability of data along the business processes enhance the opportunities for process automation. Technologies such as Robotic Process Automation (RPA) are widely used for business process optimization, but as a side effect an increase in stand-alone solutions and a lack of holistic approaches can be observed. Intelligent Process Automation (IPA) is said to support more complex processes and enable automated decision-making, but due to the lack of connectors makes the implementation difficult. RPA marketplaces can be a bridging technology to help companies implement Intelligent Process Automation. This paper explores the drivers and challenges for the adoption of RPA marketplaces to realize IPA. For this purpose, we conducted ten expert interviews with decision makers and IT staff from the process automation sector.
Bedingt durch die fortlaufende Digitalisierung und den Big Data-Trend stehen immer mehr Daten zur Verfügung. Daraus resultieren viele Potenziale – gerade für Unternehmen. Die Fähigkeit zur Bewältigung und Auswertung dieser Daten schlägt sich in der Rolle des Data Scientist nieder, welcher aktuell einer der gefragtesten Berufe ist. Allerdings ist die Integration von Daten in Unternehmensstrategie und -kultur eine große Herausforderung. So müssen komplexe Daten und Analyseergebnisse auch nicht datenaffinen Stakeholdern kommuniziert werden. Hier kommt dem Data Storytelling eine entscheidende Rolle zu, denn um mit Daten eine Veränderung hervorrufen zu können, müssen vorerst Verständnis und Motivation für den Sachverhalt zielgruppenspezifisch geschaffen werden. Allerdings handelt es sich bei Data Storytelling noch um ein Nischenthema. Diese Arbeit leitet mithilfe einer systematischen Literaturanalyse die Erfolgsfaktoren von Data Storytelling für eine effektive und effiziente Kommunikation von Daten her, um Data Scientists in Forschung und Praxis bei der Kommunikation der Daten und Ergebnisse zu unterstützen.
Due to ongoing digitalization, more and more cloud services are finding their way into companies. In this context, data integration from the various software solutions, which are provided both on-premise (local use or licensing for local use of software) and as a service, is of great importance. In this regard, Integration Platform as a Service (IPaaS) models aim to support companies as well as software providers in the context of data integration by providing connectors to enable data flow between different applications and systems and other integration services. Since previous research has mostly focused on technical or legal aspects of IPaaS, this article focuses on deriving integration practices and design-related barriers and drivers regarding the adoption of IPaaS. Therefore, we conducted 10 interviews with experts from different software as a services vendors. Our results show that the main factors regarding the adoption of IPaaS are the standardization of data models, the usability and variety of connectors provided, and the issues regarding data privacy, security, and transparency.
Internet-Ökonomie
(2019)
Dieses Buch zeigt, wie sich Apple, Amazon, Facebook und Google zu den wertvollsten Unternehmen der Welt entwickeln konnten. Ihr Erfolg basiert auf dem Ergreifen von Chancen, die die digitale Welt und das Internet bieten. Traditionelle Geschäftsmodelle werden dadurch verändert und über Jahrzehnte gewachsene Marktstrukturen teilweise in Frage gestellt.