Design, Development, and Evaluation of Collaboration Technologies
Permanent URI for this collectionhttps://hdl.handle.net/10125/107409
Browse
Recent Submissions
Item type: Item , The Importance of Separation in the Creation and Usage Phases of Augmented Reality Content Using Social Cognitive Theory(2024-01-03) Hönemann, Kay; Konopka, Björn; Wiesche, ManuelAlthough Augmented Reality (AR) based Process Guidance Systems (PGS) bring enormous potential savings to organizations, this technology is often not used beyond prototyping. One possible reason is that creating AR content requires advanced programming skills and deep spatial knowledge, which many SMEs lack. To address this challenge, AR authoring tools should enable novice users to create AR content. In this DSR project, we propose an AR authoring tool that novice users can apply as an innovative artifact to solve this problem. We elaborate on the third theoretical grounded design principle based on the social cognitive theory to understand the demands of creating and using AR content. We evaluated the developed software artifact in a field study with 12 participants. Our results show the different sources of self-efficacy in the creation and usage phase of AR content, highlighting the need for separation.Item type: Item , Design and Development of a Collaborative Augmented Reality Environment for Systems Science(2024-01-03) Giabbanelli, Philippe; Shrestha, Anish; Demay, LoicParticipatory modeling seeks to support a group in reaching a shared understanding of a complex system by identifying commonalities between individual views and navigating their differences. Traditional workshops where participants and facilitators are physically present face several barriers: complex systems span multiple domains hence they may involve experts living in various locations or rarely available together, while other stakeholder groups may struggle to access a workshop for logistical reasons such as time commitment or transportation costs. Switching to a fully remote environment through desktop applications alleviates some of these concerns but loses a sense of rapport, which can impair the collective learning experience normally fostered by systems thinking workshops. To address these limitations, we present the design and code implementation of a new augmented reality environment that aims to support remote participants in collectively arriving at a shared causal map. Our collaborative modeling application leverages graph-drawing algorithms, multiple synchronized views, and custom network protocols.Item type: Item , Unleash the Power of Citizen Development: Leveraging Organizational Capabilities for Successful Low-Code Development Platform Adoption(2024-01-03) Prinz, Niculin; Huber, Melanie; Leonhardt, Justus; Riedinger, ConstanzeGiven the increasing demand for application development and process automation, Low-Code Development Platforms (LCDPs) have become highly relevant in recent years. However, the lack of familiarity with the implementation and application of LCDP in organizations poses a challenge. This publication therefore aims to shed light on the essential organizational capabilities that companies must master to overcome this obstacle. Using action design research, this study develops a model-based framework of 21 organizational capabilities for successful LCDP adoption. It underscores the importance of conceptual development as a prerequisite for effective management and long-term application of the technology. Furthermore, it emphasizes the importance of considering both technical and social aspects of the LCDP information system. The findings contribute to academia by providing a model-based capability framework, which serves as a structure for driving future research. Moreover, practitioners benefit from a practice-oriented and evaluated summary of initialization tasks and capabilities required for successful adoption.Item type: Item , Can (A)I Have a Word with You? A Taxonomy on the Design Dimensions of AI Prompts(2024-01-03) Braun, Marvin; Greve, Maike; Kegel, Felix; Kolbe, Lutz; Beyer, Philipp EmanuelEmerging generative artificial intelligence (AI) is revolutionizing human collaboration with machines through their remarkable processing of human language. Consequently, the role of AI is transitioning as it becomes adaptable to specific tasks through human language, without the need for additional training data. These "prompts" enable end-users to fully harness the potential of AI. However, the process of designing prompts is currently unstructured, relying mostly on trial-and-error processes. Studies emphasize the significant impact of prompt design on the AI's generated results. Therefore, there is a clear need to establish a structured approach to prompt design. To address this need, we analyzed scientific literature and practical examples to develop a taxonomy of prompt design. The taxonomy serves as a valuable resource for both practitioners and researchers, offering an overview of current AI prompt approaches and shedding light on potential areas for future research.Item type: Item , Introduction to the Minitrack on Design, Development, and Evaluation of Collaboration Technologies(2024-01-03) Ebel, Philipp Alexander; Bittner, Eva; Oeste-Reiß, Sarah; Elshan, Edona