Now showing 1 - 4 of 4
  • Some of the metrics are blocked by your 
    PublicationAccess status: Open Access ,
    Intelligente Persönliche Assistenten im häuslichen Umfeld : Erkenntnisse aus einer linguistischen Pilotstudie zur Erhebung audiovisueller Interaktionsdaten
    Sprachassistenten werden in einer steigenden Zahl von Haushalten in den Alltag eingebunden. Es zeigen sich dabei sprachliche und kulturelle Praktiken, die durch die Integration artifizieller Mündlichkeit in die Interaktion entstehen, wie sie bisher noch nicht beschrieben werden konnten. Diese untersucht der gesprächslinguistisch ausgerichtete Teilbereich des Projekts B06 „Un/erbetene Beobachtung in Interaktion: ,Intelligente Persönliche Assistenten‘ (IPA)“ im Sonderforschungsbereich „Medien der Kooperation“ an der Universität Siegen. Sprachassistenzsysteme sind außerdem für ihre Funktionalität auf die dauerhafte Beobachtung des häuslichen Umfelds angewiesen. Die Reflexion der NutzerInnen über dieses „Mithören“, das im öffentlichen Diskurs teilweise sehr kritisch betrachtet wird, steht ebenfalls im Fokus der im Projekt durchgeführten Untersuchungen. Im Rahmen der hier vorgestellten Pilotstudie werden methodische Prämissen im Hinblick auf das Vorgehen bei der Datenerhebung reflektiert und aus den gewonnenen Daten erste Anhaltspunkte für die sprachwissenschaftlichen Analysekategorien herauskristallisiert. Der Schwerpunkt liegt dabei auf der Identifikation von sprachlich-interaktionalen Praktiken und deren Einbettung in soziokulturelle Praktiken, die in der Hauptstudie ebenfalls näher beleuchtet werden sollen. Unsere Daten zeigen, dass Interagierende ein Sprachassistenzsystem nicht wie einen zusätzlichen Gesprächsteilnehmer in die Interaktion einbeziehen, sondern es durchaus wie ein technisches Gerät behandeln. Gleichzeitig scheint die parallele Nutzung des medial mündlichen Kanals zur Bedienung eines Geräts auf der einen und zum Führen einer Konversation auf der anderen Seite Auswirkungen auf das Repertoire sprachlich-interaktionaler sowie kultureller Praktiken zu haben.
    Source Type:
    Series:
    Volume number:
      720  401
  • Some of the metrics are blocked by your 
    PublicationAccess status: Open Access ,
    Sensorische Praktiken im Smart Home. Erkenntnisse und methodische Reflexion einer interdisziplinären Pilotstudie
    The working paper presents, as a proof of concept, initial findings from an interdisciplinary pilot study that employs methods from sociological and linguistic media research to investigate how everyday household practices are represented and transformed through smart, sensor-based media technologies, which can be observed as multimodal interactions. Within the framework of the project “B06 – Un-/Desired Observation in Interaction: Smart Environments, Language, Body, and Senses in Private Households” in the Collaborative Research Center “Media of Cooperation”, the domestication of smart technologies is examined as a case of the cooperative production of media and data—both with and without consent (Star and Griesemer 1989).The focus of the presented pilot study is on human-machine cooperation, in which the more or less noticeable capture of behavioral and environmental data by sensors contributes to the semi-automated shaping of household ecologies and processes. We reconstruct and analyze forms of interaction and communication with interfaces of these modern technologies, as well as the sensory orientations and bodily practices of users. Furthermore, we examine the spatial and material arrangements that are essential for the social and communicative organization, as well as the purposiveness and goal-directedness of socio-technical actions involving these devices. We present exploratory media-sociological and media-linguistic analyses of a living environment equipped with smart devices, exemplified by two specific devices: an Amazon Echo Show (10th gen.), a ‘rotating’ smart speaker with a voice user interface, camera, display, video/touch screen, and camera-based motion detection, and a smart, internet-connected air fryer. The study demonstrates that users are embedded in human-machine interaction through their human sensorium—both socio-cognitively and physically—and are challenged in situ to make various decisions.
    Source Type:
    Series:
    Volume number:
      82  145
  • Some of the metrics are blocked by your 
    PublicationAccess status: Open Access ,
    The ‘Conditional Voice Recorder’: Data practices in the co-operative advancement and implementation of data-collection technology
    Stationary voice-controlled systems are installed in an increasing number of households. The devices are operated primarily via voice-user interfaces, which evaluate the spoken commands cloud-based, and are aligned to the principles of interpersonal interaction. This raises questions about the integration of the devices into everyday practices carried out in the household: How is use of Smart Speakers negotiated situationally, embedded in interpersonal interactions, and (how) are aspects of data privacy, data processing and potential exploitation reflected by the users? The project "Un/desired Observation in Interaction: Intelligent Personal Assistants" in the CRC "Media of Cooperation" approaches these questions empirically. However, such an investigation of smart speakers faces the methodological challenge that this requires voice data documenting not only the use of the smart speaker itself, but also the contexts of the use that go beyond mere "voice commands". Therefore, a "Conditional Voice Recorder" (CVR), a technology developed in Nottingham by Porcheron and colleagues (2018), was brought to bear to create audio recordings of usage contexts. These include not only the voice command itself, but also a few minutes before and after the smart speaker is addressed. However, the original device required further technical development to be compatible not only with Amazon's smart speaker model, but also products from other providers (Google and Apple). The paper reflects on this advancement and the implementation of the CVR – i.e. our own research practices – as data practices. On the one hand, it makes visible which (otherwise opaque) data were collected and processed during the advancement, how the usage of the CVR itself is inscribed in the data recorded with it, and which data practices were carried out in the evaluation. On the other hand, it documents the advancement and application of the CVR to enable other studies with it (or similar technologies).
    Source Type:
    Series:
    Volume number:
      531  313
  • Some of the metrics are blocked by your 
    PublicationAccess status: Open Access ,
    The ‘Conditional Voice Recorder’: Data practices in the co-operative advancement and implementation of data-collection technology
    Stationary voice-controlled systems are installed in an increasing number of households. The devices are operated primarily via voice-user interfaces, which evaluate the spoken commands cloud-based, and are aligned to the principles of interpersonal interaction. This raises questions about the integration of the devices into everyday practices carried out in the household: How is use of Smart Speakers negotiated situationally, embedded in interpersonal interactions, and (how) are aspects of data privacy, data processing and potential exploitation reflected by the users? The project "Un/desired Observation in Interaction: Intelligent Personal Assistants" in the CRC "Media of Cooperation" approaches these questions empirically. However, such an investigation of smart speakers faces the methodological challenge that this requires voice data documenting not only the use of the smart speaker itself, but also the contexts of the use that go beyond mere "voice commands". Therefore, a "Conditional Voice Recorder" (CVR), a technology developed in Nottingham by Porcheron and colleagues (2018), was brought to bear to create audio recordings of usage contexts. These include not only the voice command itself, but also a few minutes before and after the smart speaker is addressed. However, the original device required further technical development to be compatible not only with Amazon's smart speaker model, but also products from other providers (Google and Apple). The paper reflects on this advancement and the implementation of the CVR – i.e. our own research practices – as data practices. On the one hand, it makes visible which (otherwise opaque) data were collected and processed during the advancement, how the usage of the CVR itself is inscribed in the data recorded with it, and which data practices were carried out in the evaluation. On the other hand, it documents the advancement and application of the CVR to enable other studies with it (or similar technologies).
    Source Type:
    Series:
    Volume number:
      627  347