Implementing Electric Consent Aimed at People Living with Dementia and Their Caregivers: Did We Forget Those Who Forget?

As policy flows down from law/regulation (e.g. GDPR) and/or individual privacy concerns give rise to demands on improving accessibility, awareness and comprehension, the topic of electronic consent (or eConsent) is becoming more prevalent. We provide a critical voice by considering, but also challenging, the underlying assumptions that the status quo of eConsent design and implementation is appropriate for all people in society. While on-going efforts are focusing on enhancing the eConsent process, there is still room for improvement. The “one size fits all” ethos is not applicable in every context. This paper makes us aware of the different ethical, legal, social and technical implications of ICT use by senior citizens and provides an opportunity to create discourse in this area. It argues that future research examining the effectiveness of innovative ICTs must take the eConsent process into account

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

Within the next decade, robots (intelligent agents that are able to perform tasks normally requiring human intelligence) may become more popular when delivering healthcare services to patients. The use of robots in this way may be daunting for some members of the public, who may not understand this technology and deem it untrustworthy. Others may be excited to use and trust robots to support their healthcare needs. It is argued that (1) context plays an integral role in Information Systems (IS) research and (2) technology demonstrating anthropomorphic or system-like features impact the extent to which an individual trusts the technology. Yet, there is little research which integrates these two concepts within one study in healthcare. To address this gap, we develop a theoretical framework that considers trusting intentions towards robots based on the interaction of humans and robots within the contextual landscape of delivering healthcare services. This article presents a theory-based approach to developing effective trustworthy intelligent agents at the intersection of IS and Healthcare