Recent research conducted in Australia shows that many oncologists withhold information about expensive unfunded drugs in what the authors of the study suggest is unacceptable medical paternalism. Surprised by the Australian results, we ran a version of the study in New Zealand and received very different results. While the percentages of clinicians who would prescribe the drugs described in the scenarios were very similar (73–99% in New Zealand and 72–94% in Australia depending on the scenario) the percentage who would not (...) discuss expensive unfunded drugs was substantially lower in New Zealand (6.4–11.1%) than it was in Australia (28–41%). This seems surprising given the substantial similarities between the two countries, and the extensive interaction between their medical professions. We use the contrast between the two studies to examine the generalisability of the Australian results, to identify influences on clinicians' decisions about what treatment information to give patients, and so the tendency towards medical paternalism and, more pragmatically, about how such decisions might be influenced. (shrink)

With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned (...) stages of trust, our proposed decision to trust model considers more extensively the human and situational factors influencing how trust manifests within social relations. Priority is given to the human user of technology—the initiator of human—robot trust relations—at all stages of decision-making. The envisioned formation of optimal conditions in which trust emerges requires the collective participation of practitioners, policymakers, and members of the community. With trust facilitating the smooth transition of robots into more socially embedded roles, positive receptivity of the best engineering project arises from the presence of harmonious robot-human trust relations in community spaces. (shrink)