Technology Acceptance and (Interdependent) Privacy

À déterminer

Pr. Mathias Humbert, UNIL Pr. Stéphanie Missonier, UNIL Pr. Christian Matt, UNIBE

Pre Andrina Grani, Split University Pr. Gergely Biczok, Budapest University

To date, technology acceptance theories and models, starting with the leading and reliable Technology Acceptance Model (TAM) (Davis 1986; 1989) do not include privacy considerations as a core predictor. When, these theories and models are enhanced with privacy considerations, they include only “traditional” privacy concerns regarding the intention to adopt and utilize various technologies, while interdependent privacy or bystander privacy (i.e., how the privacy of individuals is affected by the actions and data of other individuals) remains overlooked. Yet, interdependent privacy is particularly relevant for technology acceptance: while for technology users, the privacy costs they face are often overweighted by the benefits, for bystanders, they get little (or no) benefits but still pay the privacy costs. In this activity, the topics of technology acceptance models and interdependent privacy will be presented (including the methodological tools to study them, e.g., factor analysis, game theory, statistical inference) by experts together with leads to integrate both topi

UNIL

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