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Author: 2755

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PrivacyHub: A Functional Tangible and Digital Ecosystem for Interoperable Smart Home Privacy Awareness and Control

Hubs are at the core of most smart homes. Modern cross-ecosystem protocols and standards enable smart home hubs to achieve interoperability across devices, offering the unique opportunity to integrate universally available smart home privacy awareness and control features. To date, such privacy features mainly focus o…

Maximiliane Windl et al.Ludwig Maximilian University of Munich

Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process

AI is anticipated to enhance human decision-making in high-stakes domains like aviation, but adoption is often hindered by challenges such as inappropriate reliance and poor alignment with users' decision-making. Recent research suggests that a core underlying issue is the recommendation-centric design of many AI syst…

Zelun Tony Zhang et al.fortiss GmbH

Session 2b: Algorithms in the Workplace

Designing Interactive Privacy Labels for Advanced Smart Home Device Configuration Options

Labels inform smart home users about the privacy of devices before purchase and during use. Yet, current privacy labels fail to fully reflect the impact of advanced device configuration options like sensor state control. Based on the successful implementation of related privacy and security labels, we designed extende…

Maximiliane Windl et al.Ludwig Maximilian University of Munich

Your Text Is Hard to Read: Facilitating Readability Awareness to Support Writing Proficiency in Text Production

Allowing users of interactive systems to reflect on their task proficiency is often incidental. This is unfortunate, as communicating meaningful task-related proficiency feedback could improve users' awareness of their abilities and their willingness to improve. To highlight the feasibility of this concept, we evaluat…

Jakob Karolus et al.German Research Center for Artificial Intelligence

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Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes

Most smart home devices have multiple sensors, such as cameras and microphones; however, most cannot be controlled individually. Tangible privacy mechanisms provide control over individual sensors and instill high certainty of privacy. Yet, it remains unclear how they can be used in future smart homes. We conducted th…

Maximiliane Windl et al.Ludwig Maximilian University of Munich

Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness

Users avoid engaging with privacy policies because they are lengthy and complex, making it challenging to retrieve relevant information. In response, research proposed contextual privacy policies (CPPs) that embed relevant privacy information directly into their affiliated contexts. To date, CPPs are limited to concep…

Maximiliane Windl et al.Ludwig Maximilian University of Munich

'It Is Not Always Discovery Time': Four Pragmatic Approaches in Designing AI Systems

While systems that use Artificial Intelligence (AI) are increasingly becoming part of everyday technology use, we do not fully understand how AI changes design processes. A structured understanding of how designers work with AI is needed to improve the design process and educate future designers. To that end, we condu…

Maximiliane Windl et al.Ludwig Maximilian University of Munich

Tailored Science Badges: Enabling New Forms of Research Interaction

Science faces a reproducibility crisis. There is a need to establish open science practices within the academic reputation economy. Open Science Badges address this issue by promoting and acknowledging research sharing and documentation. The generic design of currently awarded badges enabled their adoption across the…

Sebastian S. Feger et al.Ludwig Maximilian University of Munich

'Yes, I comply!': Motivations and Practices around Research Data Management and Reuse across Scientific Fields

As science becomes increasingly data-intensive, the requirements for comprehensive Research Data Management (RDM) grow. This often overwhelms scientists, requiring more workload and training. The failure to conduct effective RDM leads to producing research artefacts that cannot be reproduced or reused. Past research p…

Sebastian S. Feger et al.Ludwig Maximilian University of Munich

Data Work

Gamification in Science: A Study of Requirements in the Context of Reproducible Research

The need for data preservation and reproducible research is widely recognized in the scientific community. Yet, researchers often struggle to find the motivation to contribute to data repositories and to use tools that foster reproducibility. In this paper, we explore possible uses of gamification to support reproduci…

Sebastian S. Feger et al.Ludwig Maximilian University of Munich

Designing for Reproducibility: A Qualitative Study of Challenges and Opportunities in High Energy Physics

Reproducibility should be a cornerstone of scientific research and is a growing concern among the scientific community and the public. Understanding how to design services and tools that support documentation, preservation and sharing is required to maximize the positive impact of scientific research. We conducted a s…

Sebastian S. Feger et al.Ludwig Maximilian University of Munich

Paper Title	Authors	Research Topics
PrivacyHub: A Functional Tangible and Digital Ecosystem for Interoperable Smart Home Privacy Awareness and Control Hubs are at the core of most smart homes. Modern cross-ecosystem protocols and standards enable smart home hubs to achieve interoperability across devices, offering the unique opportunity to integrate universally available smart home privacy awareness and control features. To date, such privacy features mainly focus o…	MW Maximiliane Windl et al.Ludwig Maximilian University of Munich
Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process AI is anticipated to enhance human decision-making in high-stakes domains like aviation, but adoption is often hindered by challenges such as inappropriate reliance and poor alignment with users' decision-making. Recent research suggests that a core underlying issue is the recommendation-centric design of many AI syst…	ZZ Zelun Tony Zhang et al.fortiss GmbH	Session 2b: Algorithms in the Workplace
Designing Interactive Privacy Labels for Advanced Smart Home Device Configuration Options Labels inform smart home users about the privacy of devices before purchase and during use. Yet, current privacy labels fail to fully reflect the impact of advanced device configuration options like sensor state control. Based on the successful implementation of related privacy and security labels, we designed extende…	MW Maximiliane Windl et al.Ludwig Maximilian University of Munich
Your Text Is Hard to Read: Facilitating Readability Awareness to Support Writing Proficiency in Text Production Allowing users of interactive systems to reflect on their task proficiency is often incidental. This is unfortunate, as communicating meaningful task-related proficiency feedback could improve users' awareness of their abilities and their willingness to improve. To highlight the feasibility of this concept, we evaluat…	JK Jakob Karolus et al.German Research Center for Artificial Intelligence
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes Most smart home devices have multiple sensors, such as cameras and microphones; however, most cannot be controlled individually. Tangible privacy mechanisms provide control over individual sensors and instill high certainty of privacy. Yet, it remains unclear how they can be used in future smart homes. We conducted th…	MW Maximiliane Windl et al.Ludwig Maximilian University of Munich
emoji_events Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness Users avoid engaging with privacy policies because they are lengthy and complex, making it challenging to retrieve relevant information. In response, research proposed contextual privacy policies (CPPs) that embed relevant privacy information directly into their affiliated contexts. To date, CPPs are limited to concep…	MW Maximiliane Windl et al.Ludwig Maximilian University of Munich
'It Is Not Always Discovery Time': Four Pragmatic Approaches in Designing AI Systems While systems that use Artificial Intelligence (AI) are increasingly becoming part of everyday technology use, we do not fully understand how AI changes design processes. A structured understanding of how designers work with AI is needed to improve the design process and educate future designers. To that end, we condu…	MW Maximiliane Windl et al.Ludwig Maximilian University of Munich
Tailored Science Badges: Enabling New Forms of Research Interaction Science faces a reproducibility crisis. There is a need to establish open science practices within the academic reputation economy. Open Science Badges address this issue by promoting and acknowledging research sharing and documentation. The generic design of currently awarded badges enabled their adoption across the…	SF Sebastian S. Feger et al.Ludwig Maximilian University of Munich
'Yes, I comply!': Motivations and Practices around Research Data Management and Reuse across Scientific Fields As science becomes increasingly data-intensive, the requirements for comprehensive Research Data Management (RDM) grow. This often overwhelms scientists, requiring more workload and training. The failure to conduct effective RDM leads to producing research artefacts that cannot be reproduced or reused. Past research p…	SF Sebastian S. Feger et al.Ludwig Maximilian University of Munich	Data Work
Gamification in Science: A Study of Requirements in the Context of Reproducible Research The need for data preservation and reproducible research is widely recognized in the scientific community. Yet, researchers often struggle to find the motivation to contribute to data repositories and to use tools that foster reproducibility. In this paper, we explore possible uses of gamification to support reproduci…	SF Sebastian S. Feger et al.Ludwig Maximilian University of Munich
Designing for Reproducibility: A Qualitative Study of Challenges and Opportunities in High Energy Physics Reproducibility should be a cornerstone of scientific research and is a growing concern among the scientific community and the public. Understanding how to design services and tools that support documentation, preservation and sharing is required to maximize the positive impact of scientific research. We conducted a s…	SF Sebastian S. Feger et al.Ludwig Maximilian University of Munich