Katrin Etzrodt

Katrin Etzrodt
Technische Universität Dresden | TUD · Institut für Kommunikationswissenschaft

M.A.

About

14
Publications
3,583
Reads
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25
Citations
Introduction
Katrin Etzrodt currently works at the Institute of Media and Communication , Technische Universität Dresden. Katrin does research in Communication and Media, Qualitative Social Research and Quantitative Social Research. She is currently involved in the project 'Humans in the Internet of Things'. Her current research interest is the perception of voice assistants and the impact of this perception.
Additional affiliations
January 2018 - present
Technische Universität Dresden
Position
  • Researcher
Description
  • Mitarbeiterin an der Professur für Technik- und Wissenschaftskommunikation Studien, Publikationen & Seminare mit dem Schwerpunkt neue Technologien (z. B. Internet der Dinge)
April 2017 - present
Technische Universität Dresden
Position
  • Lecturer
Description
  • Forschungsmethoden: "Inhaltsanalyse" (Bachelor); Theorien der Medienforschung: "Publikumsforschung" (Bachelor), "Markt-Media-Studien" (Bachelor), "Mediaforschung" (Master)
April 2017 - December 2017
Technische Universität Dresden
Position
  • Researcher
Description
  • Studien, Publikationen, Vorträge & Seminare
Education
October 2004 - May 2010
Friedrich Schiller University Jena
Field of study
  • Media- and Communication Science
August 1999 - July 2003
Medical School "Georgius Agricola", Saalfeld
Field of study
  • Occupational Therapy

Publications

Publications (14)
Article
Full-text available
Der Beitrag untersucht, wie Politikerinnen und Politiker in der Online-Berichterstattung konstruiert werden, wobei der Fokus auf thematischer Kontextuierung und Attribuierung liegt. Zu diesem Zweck werden verschiedene Einflussfaktoren auf die mediale Geschlechterkonstruktion diskutiert und veränderte Rahmenbedingungen des Online- Journalismus für d...
Article
As commercial voice-based personal agents (VPAs) like Google Assistant increasingly penetrate people’s private social habitats, sometimes involving more than one user, these social situations are gaining importance for how people define the human-machine relationship (HMR). The paper contributes to the understanding of the situation’s impact on HMR...
Chapter
Artificial voice generation enables the creation of gender-neutral voice-based chatbots, such as “Q”, and with this, new possibilities for social scientists to investigate effects of gender in chatbots on users. However, for this research, gender-neutral and matching male and female voices are necessary. This paper aims to match this need by provid...
Article
Full-text available
When, to what extent and under what conditions autonomous driving will become common practice depends not only on the level of technical development but also on social acceptance. Therefore, the rapid development of autonomous driving systems raises the question of how the public perceives this technology. As the mass media are regarded as the main...
Chapter
Full-text available
This paper focuses on the attributed nature of the voice-based agents Alexa and Google Assistant in conversational contexts. Using Piaget’s equilibration theory, enhanced by Hubbard’s concept of personhood the paper considers how people categorize voice-based agents along a thing–person spectrum and whether this categorization reflects assimilation...
Article
Full-text available
We aim to investigate the nature of doubt regarding voice-based agents by referring to Piaget’s ontological object–subject classification “thing” and “person,” its associated equilibration processes, and influential factors of the situation, the user, and the agent. In two online surveys, we asked 853 and 435 participants, ranging from 17 to 65 yea...
Chapter
Die Akzeptanzforschung zu Sexrobotern steht verschiedenen Schwierigkeiten gegenüber, die sich in der Berührungsangst potenzieller Nutzer*innen, Studienteilnehmer*innen und Forscher*innen in Bezug auf das Thema widerspiegeln. Die vorliegende explorative Studie mit 144 Befragten hat die Wirkung des Einsatzes konkreter Nutzergruppen (gerahmt in Vignet...
Article
Full-text available
Research on the social implications of technological developments is highly relevant. However, a broader comprehension of current innovations and their underlying theoretical frameworks is limited by their rapid evolution, as well as a plethora of different terms and definitions. The terminology used to describe current innovations varies significa...
Poster
Full-text available
RQ1: What characteristics do people attribute to conversational social agents? RQ2: Which characteristics predict the trustworthiness of conversational social agents?
Conference Paper
Technologische Entwicklungen, verschwimmende Grenzen zwischen digitalen und klassischen Informationsangeboten sowie das gleichzeitige Mobilwerden internetfähiger Endgeräte erzeugen vollkommen neue Nutzungssituationen und –erwartungen. Besonders deutlich wird dies im Informationsbereich. Die zunehmende Alltagsrelevanz neuer Medien – nicht zuletzt so...

Questions

Question (1)
Question
I want to keep the code as well as the coded text files. Has anyone done that before? I couldn't find any hint on the web.

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Cited By

Projects

Projects (5)
Project
Call for Papers - Special Issue at Publizistik - Deadline: 30 April 2022 “Human-Machine Communication” / “Mensch-Maschine-Kommunikation” Guest Editors: Katrin Etzrodt, Peter Gentzel, Sonja Utz, Sven Engesser Smart AI-powered machines such as virtual agents, chatbots, and social robots are increasingly pervading everyday lives. They are increasingly able to perceive their environment and act autonomously. As a result, we are witnessing a profound change in which communication through technologies is extended by communication with technologies—machines turn into interlocutors. This implies several theoretical, empirical, and methodological challenges for communication and media research, such as applying, changing, or reconceptualizing approaches. To address these challenges, a systematic review of empirical findings, theory, and methodology in the field of human-machine communication (HMC) is necessary. However, research on HMC is characterized by a high degree of heterogeneity, which is reflected in a diversity of definitions, terms, research objects, topics, theories, and methods. The relevant literature is scattered and inconsistent, and synopses are scarce. Therefore, it is difficult to gain an adequate overview of the state of research on communication between humans and machines. Thus, the classification, critical discussion, and development of analytical concepts for the study of HMC are required. The aim of this special issue is to bring together HMC scholars and to contribute to the systematization of and reflection on this emerging field of research. We particularly welcome contributions that take a systematic perspective on HMC in terms of theoretical, empirical, and methodological approaches. Find the entire call here: https://www.springer.com/journal/11616/updates/19728790 (English) https://www.springer.com/journal/11616/updates/19728648 (German)
Project
Was sind eigentlich Sprachassistenten? Wie funktionieren sie? Welche Informationen übermitteln sie und woher beziehen sie diese Informationen? Und macht es einen Unterschied, welchen Sprachassistenten man fragt? Diesen Fragen gehen wir im Auftrag der Landesmedienanstalt NRW gemeinsam mit der University of Amsterdam seit Februar 2021 auf den Grund. Unser Team besteht aus der Professur für Technik- und Wissenschaftskommunikation am Institut für Kommunikationswissenschaft der TU Dresden, vertreten durch Prof. Sven Engesser, Katrin Etzrodt und Lisa Weidmüller sowie dem Projektteam der Vrije Universiteit Amsterdam & Universiteit van Amsterdam, vertreten durch Felicia Löcherbach und Prof. Judith Möller. Das Team wird unterstützt von unserer fachlichen Hilfskraft Hannah Martius und unseren studentischen Hilfskräften Valeria Pehle, Helen Reinisch, Susann Schröder und Maria Trottner.
Project
The dissertation project addresses the interaction between humans and voice-based assistants. The project investigates to what extent social interaction is an affordance of voice assistants. Key questions are: Are voice-based assistants perceived as social actors? If so, what kind of social actor are they? And what qualities do people attribute to the interaction with them?