Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item Online proctored exams and digital inequalities during the pandemic.(Wiley, 13/04/2023) Hartnett M; Butler P; Rawlins PThe emergence of the COVID-19 and the resulting global pandemic has ushered in far-reaching changes for countries across the world, not least of which are changes to their education systems. With traditional location-based exams no longer possible at universities, the uptake of online proctored exams (OPE) has occurred at a pace not seen prior to the pandemic. Students' experiences of online proctored exams during the pandemic are reasonably well-understood in terms of digital access and ease of use of the technology. However, less is known about students' perceptions of digital confidence and competence to complete an online exam, both of which are important digital equity considerations.Item Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety(Oxford University Press, 22/02/2022) McLachlan S; Neil M; Dube K; Bogani R; Fenton N; Schaffer BDriving is an intuitive task that requires skill, constant alertness and vigilance for unexpected events. The driving task also requires long concentration spans, focusing on the entire task for prolonged periods, and sophisticated negotiation skills with other road users including wild animals. Modern motor vehicles include an array of smart assistive and autonomous driving systems capable of subsuming some, most, or in limited cases, all of the driving task. Building these smart automotive systems requires software developers with highly technical software engineering skills, and now a lawyer’s in-depth knowledge of traffic legislation as well. This article presents an approach for deconstructing the complicated legalese of traffic law and representing its requirements and flow. Our approach (de)constructs road rules in legal terminology and specifies them in ‘structured English logic’ that is expressed as ‘Boolean logic’ for automation and ‘Lawmaps’ for visualization. We demonstrate an example using these tools leading to the construction and validation of a ‘Bayesian Network model’. We strongly believe these tools to be approachable by programmers and the general public, useful in development of Artificial Intelligence to underpin motor vehicle smart systems, and in validation to ensure these systems are considerate of the law when making decisions.
