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Tobias Bornakke

Biographic Data

ID2744745
NAMETobias Bornakke
GIVEN NAMESTobias
FAMILY NAMEBornakke
SIGNATUREBORNAKKE T
AFFILIATIONSAalborg University
ORCID0000-0002-8278-7630
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS19
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2022
H-INDEX2
  • Digital ethnography of home use of digital personal assistants

    Jeni Paay, Jesper Kjeldskov et al.•ARTICLE•Behaviour and Information…•2022

    Commercialised voice user interface devices for the home, like Amazon Echo, Google Home, and Apple HomePod, with integrated digital personal assistants have rapidly grown in popularity. These devices embody intelligent software agents that support users in their everyday life through easy and intuitive conversational interactions. While their use in everyday activities is largely unexplored, the proliferation in home use presents a valuable oppor…

  • Can digital personal assistants persuade people to exercise

    Jeni Paay, Jesper Kjeldskov et al.•ARTICLE•Behaviour and Information…•2022

    Digital personal assistants (DPAs) have recently grown in popularity because they are both a commercially available new technology and reasonably affordable to the average household. This opens opportunities for new ways to assist people in everyday activities in their homes through voice-interaction. Physical activity has significant health benefits, and yet globally, 1 in 4 adults are not active enough. To address this, we investigate the persu…

  • Big-Thick Blending

    Open Access•Tobias Bornakke, B L Due•ARTICLE•Big Data & Society•2018•Cited by: 9•References: 33

    Recent works have suggested an analytical complementarity in mixing big and thick data sources. These works have, however, remained as programmatic suggestions, leaving us with limited methodological inputs on how to archive such complementary integration. This article responds to this limitation by proposing a method for 'blending' big and thick analytical insights. The paper first develops a methodological framework based on the cognitivist lin…

  • Stitching together the heterogeneous party

    Open Access•Anders Blok, Hjalmar Bang Carlsen et al.•ARTICLE•Big Data & Society•2017•Cited by: 10•References: 20

    The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to c…

  • Stitching together the heterogeneous party

    Open Access•Anders Blok, Hjalmar Bang Carlsen et al.•ARTICLE•Big Data & Society•2017•Cited by: 10•References: 20

    The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to c…

  • Big-Thick Blending

    Open Access•Tobias Bornakke, B L Due•ARTICLE•Big Data & Society•2018•Cited by: 9•References: 33

    Recent works have suggested an analytical complementarity in mixing big and thick data sources. These works have, however, remained as programmatic suggestions, leaving us with limited methodological inputs on how to archive such complementary integration. This article responds to this limitation by proposing a method for 'blending' big and thick analytical insights. The paper first develops a methodological framework based on the cognitivist lin…

  • Stitching together the heterogeneous party

    Open Access•Anders Blok, Hjalmar Bang Carlsen et al.•ARTICLE•Big Data & Society•2017•Cited by: 10•References: 20

    The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to c…

  • Big-Thick Blending

    Open Access•Tobias Bornakke, B L Due•ARTICLE•Big Data & Society•2018•Cited by: 9•References: 33

    Recent works have suggested an analytical complementarity in mixing big and thick data sources. These works have, however, remained as programmatic suggestions, leaving us with limited methodological inputs on how to archive such complementary integration. This article responds to this limitation by proposing a method for 'blending' big and thick analytical insights. The paper first develops a methodological framework based on the cognitivist lin…

  • Digital ethnography of home use of digital personal assistants

    Jeni Paay, Jesper Kjeldskov et al.•ARTICLE•Behaviour and Information…•2022

    Commercialised voice user interface devices for the home, like Amazon Echo, Google Home, and Apple HomePod, with integrated digital personal assistants have rapidly grown in popularity. These devices embody intelligent software agents that support users in their everyday life through easy and intuitive conversational interactions. While their use in everyday activities is largely unexplored, the proliferation in home use presents a valuable oppor…

  • Can digital personal assistants persuade people to exercise

    Jeni Paay, Jesper Kjeldskov et al.•ARTICLE•Behaviour and Information…•2022

    Digital personal assistants (DPAs) have recently grown in popularity because they are both a commercially available new technology and reasonably affordable to the average household. This opens opportunities for new ways to assist people in everyday activities in their homes through voice-interaction. Physical activity has significant health benefits, and yet globally, 1 in 4 adults are not active enough. To address this, we investigate the persu…

Computer Science (4 works) · AI in Service Interactions (2 works) · Big data (2 works) · Data science (2 works) · Ethnography (2 works) · Internet privacy (2 works) · Psychology (2 works) · Sociology (2 works) · Advertising (1 work) · Applied Psychology (1 work)

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