Abstract
With smart home technologies influencing people’s behavior is easier than ever before. Introduction of innovative information systems (IS), including Green IS, should not ignore the users’ security and privacy concerns. To research the users’ perceptions of sustainable persuasive smart home technologies, we inspect a persuasive smart meter. We observe how Persuasive Systems Design (PSD) influences intention to continue using the system and how risk and self-disclosure impact PSD features in the smart meter. We developed a research model and formed hypotheses by drawing on PSD model and Adaption Level Theory. We used a smart metering app enhanced with the persuasive features to illustrate a sustainable persuasive smart home technology. Findings provide insights for the further research of security issues in sustainable persuasive smart home technologies and for practitioners who introduce similar technologies to the users.
Recommended Citation
Shevchuk, Nataliya; Benson, Vladlena; and Oinas-Kukkonen, Harri, "Risk and Self-Disclosure in Sustainable Persuasive Smart Home Technologies" (2019). AMCIS 2019 Proceedings. 1.
https://aisel.aisnet.org/amcis2019/green_is_sustain/green_is_sustain/1
Risk and Self-Disclosure in Sustainable Persuasive Smart Home Technologies
With smart home technologies influencing people’s behavior is easier than ever before. Introduction of innovative information systems (IS), including Green IS, should not ignore the users’ security and privacy concerns. To research the users’ perceptions of sustainable persuasive smart home technologies, we inspect a persuasive smart meter. We observe how Persuasive Systems Design (PSD) influences intention to continue using the system and how risk and self-disclosure impact PSD features in the smart meter. We developed a research model and formed hypotheses by drawing on PSD model and Adaption Level Theory. We used a smart metering app enhanced with the persuasive features to illustrate a sustainable persuasive smart home technology. Findings provide insights for the further research of security issues in sustainable persuasive smart home technologies and for practitioners who introduce similar technologies to the users.