Search Conferences

Type in any word, words or author name. This searchs through the abstract title, keywords and abstract text and authors. You may search all conferences or just select one conference.


 All Conferences
 EMAC 2019 Annual Conference
 EMAC 2020 Annual Conference
 EMAC 2020 Regional Conference
 EMAC 2021 Annual Conference
 EMAC 2021 Regional Conference
 EMAC 2022 Annual

EMAC 2022 Annual


Investigating Control Perceptions in AI-Based Data Disclosure Processes
(A2022-107073)

Published: May 24, 2022

AUTHORS

Johanna Zimmermann, University of Passau; Jan Schumann, University of Passau; Thomas Widjaja, Universtity of Passau; Kelly Martin, Colorado State University, USA

ABSTRACT

Retailers increasingly employ artificial intelligence (AI) to facilitate their data disclosure processes and make them more convenient for consumers in terms of saving effort. From their perspective, the automation also vastly diminishes their control over personal data. However, as such AI-based data disclosure services represent a new form of data disclosure processes, they cause forms of loss of control over personal data which differ from those that have been described and studied in prior research. Therefore, this investigation develops a multi-dimensional view on control over personal data to more deeply understand why and how consumers perceive a loss of control in AI-based data disclosure settings; study 1 (N=266) validates our assumption that control has four distinct dimensions. In study 2 (N=190), we find that the dimension control over personal data collection represents the major barrier to adopt AI-based services and should therefore be addressed in research and practice.