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A Sustainable Development Process for Visually Interactive Companions in Ubiquitous Passenger Information Systems
No full textNudging for AI Adoption: A Systematic Review of Behavior-Based Strategies to Overcome Psychological Hurdles in Change Management
No full textThe successful integration of Artificial Intelligence (AI) is a critical determinant of organizational competitiveness. However, its potential is often undermined due to low employee acceptance and adoption. Traditional change management approaches are commonly insufficient in addressing the distinctive cognitive, emotional, and social psychological hurdles that AI tools may provoke like algorithm aversion, fear of job replacement, and low self-efficacy. This thesis investigates the effectiveness of behavior-based nudging strategies, which are subtle architectural modifications to decision-making contexts, as a means to overcome these hurdles and facilitate AI acceptance within organizational change management. Through a systematic synthesis and thematic analysis of existing literature, this study aims to answer two central questions: (RQ1): How effective are nudging strategies in change management for increasing the acceptance of new digital tools- using the example of AI applications? (RQ2): What psychological hurdles reduce the acceptance of AI tools among employees and how can nudges counteract them? The analysis identifies and evaluates evidence-based nudging interventions, including the use of social proof (Tagulao & Marques, 2022), enactive mastery experiences (Hampel et al., 2024), transparency (Ebermann et al., 2023) and simplification defaults (Haki et al., 2023). Moreover, the primary contribution of this thesis is the development of the Stage-Gated Nudge-Based AI Acceptance Model (SNAM), a new conceptual framework that integrates nudge theory with the ADKAR change management model. This framework provides a diagnostic tool for practitioners by pairing specific psychological hurdles at each stage of the change process with targeted counter-nudges. The results demonstrate that nudging is highly effective when interventions are contextually appropriate and closely aligned with the underlying behavioral hurdle. The study concludes that the strategic integration of behaviorally-informed nudges into change management processes poses a powerful, ethical, and evidence-based means to significantly increase AI adoption. Furthermore, this study provides actionable guidance for practitioners and contributes to academic knowledge by addressing the gap between behavioral economics, change management, and technology acceptance
Validation of conductive resin as electrode material in neuromonitoring with 3D-printed probes
No full textWe conducted a proof-of-concept study for an additively manufactured complex 3D electrode structure for anal neuromonitoring using silver resin. Recent developments in additive manufacturing promise significant advantages for prototyping medical sensors. These prototypes are scalable and customisable,with a variety of biocompatible 3D-printable materials available at reasonable manufacturing costs and an increasing range of printable conductive materials. However, difficulties arise in reaching stable conductivity in complex electrode configurations. Since reliable conductive properties are key characteristics of biomedical sensors, we aimed to find an experimental setup that mimics the signal propagation of connective tissue and allows for spatial resolution of signals for rapid self-testing of multi-electrode sensors
Meta-Analysis of Durable Compared to Temporary Left Ventricular Assist Devices Compared to Venoarterial Extracorporeal Membrane Oxygenation for Bridging to Heart Transplantation or Treatment of Primary Graft Dysfunction
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