Care staff attributions toward self-injurious behaviour exhibited by adults with intellectual disabilities

Challenging behaviours may elicit negative emotional reactions and increase stress within care staff. The Leeds Attributional Coding System (LACS) was used to elicit spontaneous causal attributions of staff toward hypothetical clients with challenging behaviours. It was hypothesized that there would be relationships (1) between staff exposure to challenging behaviours and burnout, and (2) between staff cognitions and burnout. Using a cross-sectional correlational design, 41 care staff took part in a 10 minute interview about two vignettes depicting self-injurious behaviour. Staff also completed measures of demographic information and burnout. Participants made attributions toward self-injurious behaviour that were typically internal to the client, uncontrollable, unstable and specific.There was a significant association between number of clients cared for and emotional exhaustion and personal accomplishment. Staff who made fewer stable attributions had higher levels of burnout. There were no other relationships found between staff cognition and burnout. The LACS can be successfully employed in this context, and may have some benefits over other methods. Future research is required to explore the relationship between cognition and burnout.

Wireless energy behaviour monitoring (Wi-be) for office buildings

This paper presents a study on reduction of energy consumption in buildings through behaviour change informed by wireless monitoring systems for energy, environmental conditions and people positions. A key part to the Wi-Be system is the ability to accurately attribute energy usage behaviour to individuals, so they can be targeted with specific feedback tailored to their preferences. The use of wireless technologies for indoor positioning was investigated to ascertain the difficulties in deployment and potential benefits. The research to date has demonstrated the effectiveness of highly disaggregated personal-level data for developing insights into people’s energy behaviour and identifying significant energy saving opportunities (up to 77% in specific areas). Behavioural research addressed social issues such as privacy, which could affect the deployment of the system. Radio-frequency research into less intrusive technologies indicates that received-signal-strength-indicator-based systems should be able to detect the presence of a human body, though further work would be needed in both social and engineering areas.

Promoting behaviour change through personalized energy feedback in offices

A body of research suggests that the provision of energy feedback information to building users can elicit significant energy reductions through behaviour change. However, most studies have focused on energy use in homes and the assessment of interventions and technologies, to the neglect of the non-domestic context and broader issues arising from the introduction of feedback technologies. To address this gap, a non-domestic case study explores the delivery of personalized energy feedback to office workers through a novel system utilizing wireless technologies. The research demonstrates advantages of monitoring occupancy and quantifying energy use from specific behaviours as a basis for effective energy feedback; this is particularly important where there are highly disaggregated forms of energy use and a range of locations for that activity to take place. Quantitative and qualitative data show that personalized feedback can help individuals identify energy reduction opportunities. However, the analysis also highlights important contextual barriers and issues that need to be addressed when utilizing feedback technologies in the workplace. If neglected, these issues may limit the effective take-up of feedback interventions.