Postdigital play and the aesthetics of recruitment

This paper analyses reconfigurations of play in newly emergent material and digital configurations of game design. It extends recent work examining dimensions of hybridity in playful products by turning attention to interfaces, practices and spaces, rather than devices. We argue that the concept of hybrid play relies on predefining clear and distinct entities that then enter into hybrid situations. Drawing on concepts of the ‘interface’ and ‘postdigital’, we argue the distribution of computing devices creates difficulties for such presuppositions. Instead, we propose an ‘aesthetic of recruitment’ that is adequate to the new openness of social and technical play.

Postdigital interfaces and the aesthetics of recruitment

This paper analyses reconfigurations of play in emergent digital materialities of game design. It extends recent work examining dimensions of hybridity in playful products by turning attention to interfaces, practices and spaces, rather than devices. We argue that the concept of hybrid play relies on predefining clear and distinct digital or material entities that then enter into hybrid situations. Drawing on concepts of the ‘interface’ and ‘postdigital’, we argue the distribution of computing devices creates difficulties for such presuppositions. Instead, we propose thinking these situations through an ‘aesthetic of recruitment’ that is able to accommodate the intensive entanglements and inherent openness of both the social and technical in postdigital play.

Role of assessment components and recent adverse outcomes in risk estimation and prediction: use of the Short Term Assessment of Risk and Treatability (START) in an adult secure inpatient mental health service

The Short Term Assessment of Risk and Treatability is a structured judgement tool used to inform risk estimation for multiple adverse outcomes. In research, risk estimates outperform the tool's strength and vulnerability scales for violence prediction. Little is known about what its’component parts contribute to the assignment of risk estimates and how those estimates fare in prediction of non-violent adverse outcomes compared with the structured components. START assessment and outcomes data from a secure mental health service (N=84) was collected. Binomial and multinomial regression analyses determined the contribution of selected elements of the START structured domain and recent adverse risk events to risk estimates and outcomes prediction for violence, self-harm/suicidality, victimisation, and self-neglect. START vulnerabilities and lifetime history of violence, predicted the violence risk estimate; self-harm and victimisation estimates were predicted only by corresponding recent adverse events. Recent adverse events uniquely predicted all corresponding outcomes, with the exception of self-neglect which was predicted by the strength scale. Only for victimisation did the risk estimate outperform prediction based on the START components and recent adverse events. In the absence of recent corresponding risk behaviour, restrictions imposed on the basis of START-informed risk estimates could be unwarranted and may be unethical.