Equestrianism is currently facing a range of pressing challenges. These challenges, which are largely based on evolving attitudes to ethics and equine wellbeing, have consequences for the sport’s social licence to operate. The factors that may have contributed to the current situation include overarching societal trends, specific aspects of the equestrian sector, and factors rooted in human nature. If equestrianism is to flourish, it is evident that much needs to change, not the least,human behaviour. To this end, using established behaviour change frameworks that have been scientifically validated and are rooted in practice — most notably, Michie et al.’s COM-B model and Behaviour Change Wheel — could be of practical value for developing and implementing equine welfare strategies. This review summarises the theoretical underpinnings of some behaviour change frameworks and provides a practical, step-by-step approach to designing an effective behaviour change intervention. A real-world example is provided through the retrospective analysis of an intervention strategy that aimed to increase the use of learning theory in (educational) veterinary practice. We contend that the incorporation of effective behaviour change interventions into any equine welfare improvement strategy may help to safeguard the future of equestrianism.
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Now that collaborative robots are becoming more widespread in industry, the question arises how we can make them better co-workers and team members. Team members cooperate and collaborate to attain common goals. Consequently they provide and receive information, often non-linguistic, necessary to accomplish the work at hand and coordinate their activities. The cooperative behaviour needed to function as a team also entails that team members have to develop a certain level of trust towards each other. In this paper we argue that for cobots to become trusted, successful co-workers in an industrial setting we need to develop design principles for cobot behaviour to provide legible, that is understandable, information and to generate trust. Furthermore, we are of the opinion that modelling such non-verbal cobot behaviour after animal co-workers may provide useful opportunities, even though additional communication may be needed for optimal collaboration. Marijke Bergman, Elsbeth de Joode, +1 author Janienke Sturm Published in CHIRA 2019 Computer Science
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This article discusses the possibility of integrating deep ecology (DE) and animal rights (AR) perspectives within environmental education (EE) and education for sustainable development (ESD). The focus of this article is on three questions: why are DE and AR not currently central to EE/ESD debates? What is the probability that DE and AR will be central within EE/ESD? What can be gained if they were? Different ethical frameworks in relation to non-humans are examined. Both non-consequentialist and utilitarian approaches suggest that DE and AR could be linked to the conception of underlying duty as well as consideration of utilitarian value. From cultural relativism and subjectivism perspectives, DE and AR could be central to EE, but this possibility is contingent on socio-political and cultural context within which educational practices are embedded. https://doi.org/10.1016/j.envdev.2014.09.001 https://www.linkedin.com/in/helenkopnina/
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