Browsing by Author "King M"

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    Conceptualizing Indigenous Human-Animal Relationships in Aotearoa New Zealand: An Ethical Perspective
    (MDPI (Basel, Switzerland), 2021-10-06) Woodhouse J; Carr A; Liebergreen N; Anderson L; Beausoleil NJ; Zobel G; King M; Ankeny R
    This article considers the complexity and diversity of ethical concepts and beliefs held by Māori, the indigenous people of Aotearoa New Zealand (hereafter New Zealand), relating to animals. A combination of interviews and focus group discussions were conducted with individuals who identify as Māori and were working with wildlife, primarily in an eco-tourism and conservation context. Two main themes emerged from the data: ethical concepts relating to the environment, and concepts relating to the spiritual relationships between people, animals and the environment. These findings highlight that the connections between humans and animals through a Māori lens are nuanced in ways not typically accounted for in Western philosophy. This is of particular importance because of the extent to which standard Western thought is embodied in law and policy related to human treatment of animals and the environment. In New Zealand, relationships and partnerships are informed by Te Tiriti ō Waitangi, one of New Zealand's founding documents. Where these partnerships include activities and environments involving human-animal interaction, policy and legislation should account for Māori knowledge, and diverse of thought among different hapū (tribal groups). We conclude by exploring ways of including Māori ethical concepts around animals in general, and wild animals in particular, in law and policy, providing a case study relevant to other bicultural or multicultural societies.
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    Optical see-through augmented reality fire safety training for building occupants
    (Elsevier B.V., 2024-03-15) Paes D; Feng Z; King M; Khorrami Shad H; Sasikumar P; Pujoni D; Lovreglio R
    Fire safety training is crucial to increase building occupants' chances of surviving a fire emergency. Traditional training methods, such as lectures using video presentations, have limitations that can hinder learning performance. This article describes the development and testing of an alternative training solution using Augmented Reality (AR) technology. Through a controlled between-subject experiment, the AR-based fire safety training method was compared against a conventional video-based one based on participants' knowledge acquisition and retention, intrinsic motivation, and self-efficacy. Results suggest that the AR system was well-designed and as effective as the traditional method in terms of knowledge acquisition and retention and overall learning experience. However, it was found to be superior in terms of intrinsic motivation gain and self-efficacy retention. These findings demonstrate the potential of AR-based training methods to enhance building occupants' safety and provide directions for future developments and research in the field.
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    Spectral and Spatial Analysis of Plantar Force Distributions Across Foot-Strike Patterns During Treadmill Running
    (MDPI (Basel, Switzerland), 2025-08-06) Macdermid PW; Walker SJ; King M
    Treadmill running gait differs to overland running and is commonly used to evaluate interventions. One challenge is accurately defining strike pattern and related impact kinetics. This study aimed to characterise foot-strike patterns during treadmill running using the spatial distribution of in-shoe plantar forces and to identify differences in impact kinetics through spectral analysis. Low- and high-frequency power components were analysed in heel, midfoot and forefoot strike patterns. No distinct impact peaks were identified in the force traces; however, significant spatial differences were found. Forefoot strikes exhibited lower peak impact force, average loading rate, and high-frequency power spectral density (PSD) components compared to heel and midfoot strikes, with heel also lower than midfoot. Strike pattern classification was derived from spatial force distribution, where >70% posterior and >50% anterior denote heel and forefoot strikes, while midfoot strikes demonstrate a more balanced distribution with >25% in the central zone. These findings support the integration of spatial, force-based classification with frequency-domain analysis to enhance the evaluation of impact attenuation in treadmill-based running interventions.