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Auflistung nach Schlagwort "communication"

1 - 6 von 6
  • Workshopbeitrag
    Conscious AI and Human Communication
    (Mensch und Computer 2024 - Workshopband, 2024) Herrmann, Thomas
    Consciousness depends on communication between individuals who consider each other as alter ego. It seems to be questionable whether AI agents should be considered as a set of separated conscious individuals that cannot not directly be connected to each other. However, individualized consciousness can serve as a useful metaphor for designing human-computer interaction.
  • Textdokument
    Electronic Word-of-Mouth: A Systematic Literature Analysis
    (Digital Enterprise Computing (DEC 2017), 2017) Schmäh, Marco; Wilke, Tim; Rossmann, Alexander
    Electronic word-of-mouth (eWoM) communication plays an increasingly important role in modern business. The underlying concept of word-of-mouth (WoM) communication is well researched and has proved highly significant in respect of its impact on customers purchase behavior. However, due to the advent of digital technologies, decision-making among customers is progressively shifting to the online world. Consequently, eWoM has received a lot of attention from the academic community. As multiple research papers focus on specific facets of eWoM, there is a need to integrate current research results systematically. Thus, this paper presents a scientific literature analysis in order to determine the current state-of-the-art in the field of eWoM. Five main research areas were analyzed, supporting the need for further eWoM studies and providing a structured overview of existing results.
  • Zeitschriftenartikel
    Kommunikative Kompetenz in der Informatik und die curricularen Konsequenzen
    (Informatik-Spektrum: Vol. 20, No. 2, 1997) Bruns, Uta
  • Konferenzbeitrag
    On the Subjectivity of Emotions in Software Projects: How Reliable are Pre-Labeled Data Sets for Sentiment Analysis? (Summary)
    (Software Engineering 2023, 2023) Herrmann, Marc; Obaidi, Martin; Chazette, Larissa; Klünder, Jil
    Social aspects (e.g., the sentiment of developers) are important for software development. In order to automatically analyze sentiments, sentiment analysis tools use machine learning methods that require data sets labeled according to emotion or polarity. As these labeled data sets strongly influence the tools’ accuracy, we investigate whether the labels match developers’ perceptions. For this purpose, we conducted an international survey with 94 participants who labeled 100 statements. We compare the median as well as every single participant’s perception with the labels. The results show that the median perception of all participants coincides with the predefined labels for 62.5% of the statements, and that the difference between the single participant’s ratings and the labels is even worse. This summary refers to the paper with the title “On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis?” [He22b]. It was published in the Journal of Systems and Software (JSS) in 2022 peer-reviewed.
  • Textdokument
    Research Challenges for a Future-Proof E/E Architecture - A Project Statement
    (INFORMATIK 2017, 2017) Kugele, Stefan; Cebotari, Vadim; Gleirscher, Mario; Hashemi, Morteza; Segler, Christoph; Shafaei, Sina; Vögel, Hans-Jörg; Bauer, Fridolin; Knoll, Alois; Marmsoler, Diego; Michel, Hans-Ulrich
    During the last decades, the functional power and complexity of automotive E/E architectures grew radically and is going to grow further. We identified two key factors namely autonomy and intelligence. Both pose research challenges for the next generation E/E architecture. We aim to tackle the design challenges with methods and technologies. We propose in this project statement to use a service-oriented architecture on top of an in-vehicle communication network based on time-sensitive networking. Moreover, a rigor risk analysis and mitigation approach enables synthesis of a safety controller. A learning architecture facilitates a shift towards user centralization by proactively adapting functions according to user profiles. In addition, further functions might need to be learned at run-time.
  • Zeitschriftenartikel
    Wissenschaftskommunikation und Social Media: Grenzaufbruch und Vertrauensmerkmale
    (i-com: Vol. 9, No. 3, 2010) Schmirmund, Jan
    Der vorliegende Beitrag befasst sich mit dem, durch Social Media induzierten, Aufbruch der Grenzen zwischen interner und externer Wissenschaftskommunikation und beschreibt die Kontextualisierung von Social Media Formaten in die Wissenschaftskommunikation durch Setzen von Vertrauensmerkmalen. Der Beitrag kommt zu dem Schluss, dass durch vermehrten Einsatz von Social Media, bisher klare Grenzen zwischen interner und externer Wissenschaftskommunikation verschwimmen und aufgrund fehlender Formalisierungen von in Social Media veröffentlichten Beiträgen, ein Problem der Kontextualisierung in den Bereich seriöser Wissenschaft auftritt. Es ist zu beobachten, dass diesem Problem durch das Setzen von Vertrauen erzeugenden Merkmalen entgegengewirkt wird.