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- WorkshopbeitragCrafting Usable Security: Enhancing Public Understanding of Security and Privacy(Mensch und Computer 2024 - Workshopband, 2024) Balthasar, Mandy; Gerber, Nina; Jakobi, TimoGaps in knowledge lead to misunderstandings and uncertainty, including when dealing with IT. However, existing security and data protection advice has not yet been able to resolve these uncertainties. Even experts sometimes find it difficult to assess what is actually relevant for users. In order to raise awareness and understanding, relevant content from security and data protection advice materials should be identified and prioritized for users, take away uncertainties and thus enable successful usable security & privacy.
- WorkshopCan't Touch This? Is This Touch? It's So Fluffy I'm Gonna Die! -- Material and Tangible Research Methods in HCI(Mensch und Computer 2024 - Workshopband, 2024) Burtscher, Sabrina; Kender, Kay; Meissner, Janis; Posch, Irene; Strohmayer, AngelikaMaterials are multifunctional resources that can serve as data, method, process, and outcomes of HCI projects. In this full-day in-person workshop, we invite participants to reflect on materials and tangible artefacts, how we use them in our practice, what they mean to us, what we dream of. Our goal is to support aesthetic expression and material sensitivity, and cement the importance of tangibility in our field. Together, we will co-create a Zine that will be published physically during the conference, and made available digitally after.
- KonferenzbeitragEnhancing Drone Operation Efficiency and Operator Experience: Integrating Extended Reality and Adaptive Systems with Situation-Aware Models(Mensch und Computer 2024 - Workshopband, 2024) Bendig, HennerThis research project investigates how adaptive Augmented Reality (AR) applications can improve the efficiency of drone operations and the experience of operators. Drones, particularly Unmanned Aerial Vehicles (UAVs), are increasingly employed in search and rescue (SAR) missions due to their rapid deployment capabilities and the ability to access hazardous areas or viewpoints that are otherwise unreachable. Operating drones in these high-demanding scenarios requires operators to possess certain cognitive abilities to manage the UAV effectively. Our research aims to develop a situation-aware interaction model that considers data from the task, the UAVs, and the human operator, offering support during demanding missions or low abilities. This model will be integrated into an AR application designed to adjust to the current situation, thereby enhancing operational outcomes and user experience.
- WorkshopbeitragPersonalized Complementarity in Human-AI Collaboration(Mensch und Computer 2024 - Workshopband, 2024) Breckner, Karin; Neumayr, Thomas; Streit, Marc; Augstein, MirjamUncertainty and the potential for complementarity between humans and AI have shaped a new kind of interaction, typically referred to as a collaborative relationship. In this paper, we pick up on the discussion of common issues in human-AI collaboration based on a literature review and further discuss ways to and challenges of personalized complementarity in human-AI relations. We hypothesize that a combination of reciprocal, mixed-initiative communication may support up-to-date mental models and therefore strengthen appropriate trust and reliance, ultimately leading to a higher chance of effectively exploiting existing complementarity potentials.
- WorkshopbeitragToo Hidden for Research? - The Quest to Understand the Potential of Hidden Game Mechanics for Gamification Research(Mensch und Computer 2024 - Workshopband, 2024) Weber, Philip; Schneider, Torsten; Linz, Bejamin; Ludwig, ThomasAlthough the academic discourse on gamification repeatedly emphasizes the need to explore design elements beyond points, badges, and leaderboards, much of the research in recent years has continued to focus on popular gamification design elements. As an important contribution to expanding the research field, we consider the investigation of less visible or “hidden” game mechanics to be particularly relevant. In particular, we are interested in making the unknown or “magic source” - often invisible to (ordinary) players - more understandable to gamification designers and researchers. In this paper, we define Hidden Game Mechanics (HGMs), distinguish them from related concepts such as “Advanced Game Mechanics”, and situate them within existing gamification and game design terminology. Based on this, we propose a first iteration of a framework for understanding HGMs. This aims to improve the understanding of the effects and uses of HGMs. In addition, we present further steps for research and potential applications of HGMs in gamification design. Our work demonstrates the diverse potential of HGMs and highlights the significant research gap in this area.
- WorkshopbeitragTowards AI Augmented Personalized Data Sensemaking(Mensch und Computer 2024 - Workshopband, 2024) V S Pakianathan, Pavithren; Fatehi, Alireza; Smeddinck, JanPatient-generated health data has the potential to benefit health consultations; however, there are also challenges in implementing them into practice. A key challenge is to extract relevant data and allow for effective sensemaking to create actionability for both healthcare providers (HCPs) and patients. Based on a patient-journey model, we explore the use of generative AI to enable personalized data sensemaking to potentially improve shared decision-making between cardiovascular disease (CVD) patients and HCPs during the physical activity planning process in cardiovascular rehabilitation. We discuss open questions around interaction modalities, synchronicity, and patient-HCP social dynamics in the presence of conversational or agentic tools.
- WorkshopEEL-HCI 2024: First International Workshop on Empowering Energy Literacy - HCI Strategies for Accessible Data Engagement(Mensch und Computer 2024 - Workshopband, 2024) Kurz, Marc; Hödl, Oliver; Hartner, Georg; Schaffer, Christoph; Grünberger, Stefan; Kashyap, ShievamIn today's dynamic energy transition, effective management and comprehension of energy-related information transcend conventional data analysis, which concerns all stakeholders involved from network operators to citizens. This workshop explores multifaceted energy transparency, integrating best practices, legal considerations, and HCI principles: Transparent energy data catalyze informed decision-making for driving sustainability; understanding energy management complexities enhances resource optimization; interdisciplinary collaboration from engineering to regulation fosters holistic energy transparency; and incorporating HCI principles promotes user engagement with energy data for empowering informed action. Through interactive sessions, we aim to collect multidisciplinary needs, challenges, requirements, and best practices which will be discussed to conclude on tools to navigate energy dynamics effectively, unlocking transformative potential for sustainability.
- WorkshopbeitragUsing Generative AI to Enhance the Visuals of Papers(Mensch und Computer 2024 - Workshopband, 2024) Pfützenreuter, NiklasGenerative Artificial Intelligence (GenAI) provides new capabilities to generate figures and other visual elements for papers. This can help researchers to enhance the visual quality of their papers. However, there are also challenges when generating images or visual elements, such as the complexity of describing visual content with a text prompt. This paper describes how GenAI can be effectively used in researchers’ workflows. It further discusses solutions for existing challenges in generating images from textual descriptions, like using tools like ControlNet and IP Adapter or specifically trained image generation model checkpoints. Lastly, the paper shows how GenAI can be used to generate LateX code for visual elements like tables or diagrams.
- KonferenzbeitragSenseCube: Evaluating Visual and Vibration Feedback in a Peripheral Tangible Notification Device(Mensch und Computer 2024 - Workshopband, 2024) Koopmann, Antonia; Khadse, Susmita; Halaharavi, Hemanth Kumar; Ruiz, Nicolás; Putze, Susanne; Döring, TanjaIn digital environments, on-screen notifications tend to be highly disruptive and distracting but at the same time necessary to keep an overview over the current and upcoming tasks. In this context, we developed two versions (light-based and vibration-based) of a tangible notification manager called SenseCUBE and ran a within subject study with 9 participants to evaluate which version was perceived to be less disruptive. Participants had to solve a task while being notified by the SenseCUBEs and complete a TLX questionnaire to measure the task workload. Results suggest that there is no difference in the disruptiveness between the light SenseCUBE and the vibration SenseCUBE. Nonetheless, the light notifications were experienced as more effective in communicating the level of urgency of the notifications.
- WorkshopbeitragEin Prozess zur ressourcensensiblen Auswertung von Co-Design-Workshops im Rahmen des VernetzBar-Projekts(Mensch und Computer 2024 - Workshopband, 2024) Volkmann, Torben; Weiß, Katharina; Gruber, Ehmi; Jochems, NicoleIn partizipativen Technikentwicklungsprozessen ist es essenziell, Beteiligungsgebnisse sichtbar zu machen. Eine ressourcensensible Auswertung von Co-Design-Workshops spielt dabei eine zentrale Rolle. In diesem Beitrag wird die Auswertung solcher Workshops im Rahmen des VernetzBar-Projekts beschrieben. Ein wesentliches Merkmal des Projekts ist die aktive Einbindung der Zielgruppe durch Co-Design-Workshops, in denen gemeinsam Low-Fidelity Mockups entwickelt werden. Die Workshops werden in einem dreistufigen Prozess ausgewertet, der das umgesetzte Artefakt und die Workshopdynamik berücksichtigt. In diesem Beitrag werden insbesondere die drei im Projek