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Auflistung nach Autor:in "Ziefle, Martina"

1 - 10 von 14
  • Workshopbeitrag
    An Intuitive Textile Input Controller
    (Mensch und Computer 2015 – Proceedings, 2015) Heller, Florian; Lee, Hyun-Young {Kriz}; Brauner, Philipp; Gries, Thomas; Ziefle, Martina; Borchers, Jan
    When thinking of textile interfaces, these are often imagined as being integrated into clothing. While this is the most prominent use of fabric, we present a standalone interface that builds on the natural set of interactions a piece of fabric affords, and that is feasible for industrial production. By integrating stitched patterns made of conductive thread into a square piece of fabric, we are able to sense established connections within this pattern and map these to a model how the cloth is folded. An integrated microcontroller tracks these connections and communicates them as two-dimensional continuous value changes to a host application. We present the technical construction of our prototype, a particular clip-on technique to establish the connection between fabric and electronics, and first insights into recognizing different grip gestures.
  • Workshopbeitrag
    Entscheidungsautonomie und KI - Methodische Hinweise zur Untersuchung von KI-Nutzung in Sicherheitsbehörden
    (Mensch und Computer 2022 - Workshopband, 2022) Hildebrandt, Julian Romeo; Ziefle, Martina; Calero Valdez, André
    Künstlicher Intelligenz (KI) werden immense Potentiale zugeschrieben. Dies trifft auch auf den Bereich der zivilen Sicherheit zu und wird u.A. in dem BMBF geförderten Forschungsprojekt KISTRA: Einsatz von KI zur Früherkennung von Straftaten erforscht. Ziel des Projektes ist der rechtlich, ethisch und sozial vertretbare Einsatz von KI-Klassifizierern durch das Bundeskriminalamt (BKA) zur Erkennung und Verfolgung von Hasskriminalität in sozialen Netzwerken. Dieser Artikel stellt Forschungsziele aus dem Bereich der Mensch-Technik Interaktion vor und geht hierbei insbesondere auf deren methodische Herangehensweisen und Herausforderungen, sowie erste Ergebnisse des Forschungsprojektes ein. Hierdurch werden für die Forschungsziele Anforderungsanalyse, Konzeption von Nutzerschnittstellen, und Usabilityevaluation Handlungsempfehlungen für zukünftige HCI-Forschung formuliert, wobei insbesondere auf den technischen Kontext der künstlichen Intelligenz und den organisationalen Kontext der Sicherheitsbehörde eingegangen wird.
  • Workshopbeitrag
    Gardeene! Textile Controls for the Home Environment
    (Mensch und Computer 2016 - Tagungsband, 2016) Heller, Florian; Oßmann, Lukas; Hamdan, Nur; Brauner, Philipp; Van Heek, Julia; Scheulen, Klaus; Möllering, Christian; Goßen, Laura; Witsch, Rouven; Ziefle, Martina; Gries, Thomas; Borchers, Jan
    Textile controls so far, have mostly been envisioned to be integrated to clothing. In our environment, however, much more textile interaction surfaces are available. In this paper, we present a capacitive textile sensor, seamlessly integrated into a motorized curtain. While the basic functionality is simply to open and close the curtain, its design allows a much richer gestural interaction.
  • Konferenzbeitrag
    Graph Complexity in visual recommender systems for scientific literature
    (Mensch und Computer 2016 – Workshopband, 2016) Abels, Stephan; Greven, Christoph; Valdez, André Calero; Schroeder, Ulrik; Ziefle, Martina
    Digital libraries are becoming larger, while suffering from inefficient interfaces and search patterns. Recommender Systems are a sensible and important service for users of digital libraries. The aim of recommender systems is to reduce cognitive effort, simplify search and to embed results in a larger context. In this article we compare to recommender systems – the Action Science Explorer and Papercube. Both systems are used to recommend scientific literature and use graph-based approaches. From user studies we derive the need for research to understand complexity of graphs.
  • Konferenzbeitrag
    Human Factors in Information Visualization and Decision Support Systems
    (Mensch und Computer 2016 – Workshopband, 2016) Valdez, André Calero; Brauner, Philipp; Ziefle, Martina; Kuhlen, Torsten Wolfgang; Sedlmair, Michael
    With the increase in data availability and data volume it becomes increasingly important to extract information and actionable knowledge from data. Information Visualization helps the user to understand data by utilizing vision as a relatively parallel input channel to the user’s mind. Decision Support systems on the other hand help users in making information actionable, by suggesting beneficial decisions and presenting them in context. Both fields share a common need for understanding the interface between the computer and the human. This makes human factors research critical for both fields. Understanding limitations of human perception, cognition and action, as well as their variance must be understood to fully leverage information visualization and decision support. This article reflects on research agendas for investigating human factors in the aforementioned fields.
  • Konferenzbeitrag
    Modelling Human Factors in Cyber Physical Production Systems by the Integration of Human Digital Shadows
    (Modellierung 2022 Satellite Events, 2022) Mertens, Alexander; Brauner, Philipp; Baier, Ralph; Brillowski, Florian; Dammers, Hannah; Van Dyck, Marc; Kong, Iris; Königs, Peter; Kordtomeikel, Frauke; Liehner, Gian Luca; Pütz, Sebastian; Rodemann, Niklas; Schaar, Anne Kathrin; Steuer-Dankert, Linda; Vervier, Luisa; Wlecke, Shari; Gries, Thomas; Leicht-Scholten, Carmen; Nagel, Saskia K.; Piller, Frank T.; Schuh, Günther; Ziefle, Martina; Nitsch, Verena
    The future of industrial manufacturing and production will increasingly manifest in the form of cyber-physical production systems. Here, Digital Shadows will act as mediators between the physical and digital world to model and operationalize the interactions and relationships between different entities in production systems. Until now, the associated concepts have been primarily pursued and implemented from a technocentric perspective, in which human actors play a subordinate role, if they are considered at all. This paper outlines an anthropocentric approach that explicitly considers the characteristics, behavior, and traits and states of human actors in socio-technical production systems. For this purpose, we discuss the potentials and the expected challenges and threats of creating and using Human Digital Shadows in production.
  • Textdokument
    myneData: Towards a Trusted and User-controlled Ecosystem for Sharing Personal Data
    (INFORMATIK 2017, 2017) Matzutt, Roman; Müllmann, Dirk; Zeissig, Eva-Maria; Horst, Christiane; Kasugai, Kai; Lidynia, Sean; Wieninger, Simon; Ziegeldorf, Jan Henrik; Gudergan, Gerhard; gen. Döhmann, Indra Spiecker; Wehrle, Klaus; Ziefle, Martina
    Personal user data is collected and processed at large scale by a handful of big providers of Internet services. This is detrimental to users, who often do not understand the privacy implications of this data collection, as well as to small parties interested in gaining insights from this data pool, e.g., research groups or small and middle-sized enterprises. To remedy this situation, we propose a transparent and user-controlled data market in which users can directly and consensually share their personal data with interested parties for monetary compensation. We define a simple model for such an ecosystem and identify pressing challenges arising within this model with respect to the user and data processor demands, legal obligations, and technological limits. We propose myneData as a conceptual architecture for a trusted online platform to overcome these challenges. Our work provides an initial investigation of the resulting myneData ecosystem as a foundation to subsequently realize our envisioned data market via the myneData platform.
  • Konferenzbeitrag
    On Studying Human Factors in Complex Cyber-Physical Systems
    (Mensch und Computer 2016 – Workshopband, 2016) Brauner, Philipp; Valdez, André Calero; Philipsen, Ralf; Ziefle, Martina
    Deep penetration of modern information and communication technology in manufacturing companies (vertical integration) and across supply chains (horizontal integration) leads to an increasing amount and complexity of information that needs to be perceived, filtered, processed, and reacted to. Yet, the human factors that influence performance are insufficiently understood. This article outlines that individual factors, interface factors, and system factors affect overall performance and it presents two complementary research methodologies for identifying and quantifying these factors. On one side, we show that controlled laboratory experiments with singular decision tasks can precisely identify and quantify factors contributing to performance. On the other side, we use business simulation games with realistic decision tasks that can quantify the complexity of the underlying system. Our studies show that information amount, complexity, and presentation affect performance and that Decision Support Systems can increase performance and decrease error rates if and only if they are designed correctly. The article concludes with a research agenda to specifically understand which factors influence performance and how humans in the loop can be supported.
  • Textdokument
    Putting Privacy into Perspective – Comparing Technical, Legal, and Users’ View of Information Sensitivity
    (INFORMATIK 2020, 2021) Schomakers, Eva-Maria; Lidynia, Chantal; Müllmann, Dirk; Matzutt, Roman; Wehrle, Klaus; Spiecker genannt Döhmann, Indra; Ziefle, Martina
    Social media, cloud computing, and the Internet of Things connect people around the globe, offering manifold benefits. However, the technological advances and increased user participation generate novel challenges for users' privacy. From the users' perspective, the consequences of data disclosure depend on the perceived sensitivity of that data. But in light of the new technological opportunities to process and combine data, it is questionable whether users can adequately evaluate risks of data disclosures. As mediating authority, data protection laws such as the European General Data Protection Regulation try to protect user data, granting enhanced protection to “special categories” of data. In this paper, we assess the legal, technological, and users' perspectives on information sensitivity and their interplay. Technologically, all data can be referred to as “potentially sensitive.” The legal and users' perspective on information sensitivity deviate from this standpoint, as some data types are granted special protection by law but are not perceived as very sensitive by users and vice versa. Our key findings still suggest the GDPR adequately protecting users' privacy but for small adjustments.
  • Konferenzbeitrag
    Smart Home Medical Technologies: Users’ Requirements for Conditional Acceptance
    (i-com: Vol. 15, No. 1, 2016) Himmel, Simon; Ziefle, Martina
    One mega challenge for the next decades is the aging of populations in western societies. Ambient Assisted Living (AAL) Technologies provide solutions for these challenges of demographic change. Elderly people living independently in their homes can be monitored for health reasons with integrated information and communication technologies (ICT) to get help in case of emergencies. From the user-centered approach, acceptance of these solutions is crucial. In his work, we focus on the effects of 5 domestic spaces and 3 integrated ICT on acceptance and the influence of user factors. We consider two samples from 2010 (n = 100) and 2015 (n = 148). Results show that visual monitoring is accepted least, positioning best. The role of private and public rooms has a strong influence on acceptance. Also, the type of technology as well as the interaction of technology and room have a strong impact, whereas user factors play only a minor role for AAL acceptance.