Safety at work The objective of the project Safety at Work is to increase safety at the workplace by applying and combining state of the art artefacts from personal protective equipment and ambient intelligence technology. In this state of the art document we focus on the developments with respect to how (persuasive) technology can help to influence behaviour in a natural, automatic way in order to make industrial environments safer. We focus on personal safety, safe environments and safe behaviour. Direct ways to influence safety The most obvious way to influence behaviour is to use direct, physical measures. In particular, this is known from product design. The safe use of a product is related to the characteristics of the product (e.g., sharp edges), the condition of people operating the product (e.g., stressed or tired), the man-machine interface (e.g., intuitive or complex) and the environmental conditions while operating the product (e.g., noisy or crowded). Design guidelines exist to help designers to make safe products. A risk matrix can be made with two axis: product hazards versus personal characteristics. For each combination one might imagine what can go wrong, and what potential solutions are. Except for ‘design for safety’ in the sense of no sharp edges or a redundant architecture, there is a development called ‘safety by design’ as well. Safety by design is a concept that encourages construction or product designers to ‘design out’ health and safety risks during design development. On this topic, we may learn from the area of public safety. Crime Prevention Through Environmental Design (or Designing Out Crime) is a multi-disciplinary approach to deterring criminal behaviour through environmental design. Designing Out Crime uses measures like taking steps to increase (the perception) that people can be seen, limiting the opportunity for crime by taking steps to clearly differentiate between public space and private space, and promoting social control through improved proprietary concern. Senses Neuroscience has shown that we have very little insight into our motivations and, consequently, are poor at predicting our own behaviour. It seems emotions are an important predictor of our behaviour. Input from our senses are important for our emotional state, and therefore influence our behaviour in an ‘ambient’ (invisible) way. The first sense we focus on is sight. Sight encompasses the perception of light intensity (illuminance) and colours (spectral distribution). Several researchers have studied the effects of light and colour in working environments. Results show, e.g., that elderly people can be helped with higher light levels, that cool colours like blue and green have a relaxing effect, while long-wavelength colours such as orange and red are stimulating and give more arousal, and that concentration and motivation of pupils at school can be influenced with light and colour settings. Identically, sound (hearing) has physiological effects (unexpected sounds cause extra cortisol -the fight or flight hormone- and the opposite for soothing sounds), psychological effects (sounds effect our emotions), cognitive effects (sounds effect our concentration) and behavioural effects (the natural behaviour of people is to avoid unpleasant sounds, and embrace pleasurable sounds). Smell affects 75% of daily emotions and plays an important role in memory, itis also important as a warning for danger (gas, burning smell). Research has shown that smell can influence work performance. Haptic feedback is a relative new area of research, and most studies focus on haptic feedback on handheld and automotive devices. Finally, employers have a duty to take every reasonable precaution to protect workers from heat stress disorders. Influence mechanisms: Cialdini To influence behaviour, we may learn from marketing psychology. Robert Cialdini states that if we have to think about every decision
MULTIFILE
Within health education, many innovations are introduced, but are often not successful or sustainable. It is generally acknowledged that the quality of an educational system mainly depends on the quality of the teachers. Innovations will only succeed if teachers experience a climate that stimulates innovation and if they possess a sufficient level of innovative work behaviour. The current concept of innovative work behaviour (IWB) consists of three different behavioural dimensions: Idea generation, promotion and realization. However, the concept lacks attention for idea sustainability, which is necessary to embed the innovation deeply in daily practice. The limited attention for improving and continuation of an implemented idea is an often-mentioned explanation for the lack of the long-term success of innovations. Aim: This study aims at the development and validation of an instrument for innovative work behaviour that also includes the dimension idea sustainability, which has been overlooked by other researchers. Method: A questionnaire is developed, based on the questionnaire of Messmann (2012). Additional items are added to measure the new dimension idea sustainability. This new dimension contains the following concepts: Improving and optimising the innovation, disseminating the innovation in depth in the system of the organization and disseminating on a larger scale, and finally visualization of the benefits for stakeholders. The questionnaire is send to 400 teachers of a University for applied sciences in the South of The Netherlands. Results: 179 questionnaires were completed. It can be concluded that the scales to measure innovative work behaviour are strongly interrelated. There are significant correlations between the original dimensions and the added dimensions. The results for individual characteristics indicated that age and tenure did not correlate with any of the scales. Work experience, gender and also the faculty to which teachers belong did make some difference with regard to IWB. The results for job characteristics showed that the number of working hours, job position and the participation in research groups did make a difference with regard to IWB. In general, job characteristics showed more links with the various scales to measure innovative work behavior compared to the individual characteristics.
In general, people are poorly protected against cyberthreats, with the main reason being user behaviour. For the study described in this paper, a ques-tionnaire was developed in order to understand how people’s knowledge of and attitude towards both cyberthreats and cyber security controls affect in-tention to adopt cybersecure behaviour. The study divides attitude into a cog-nitive and an affective component. Although only the cognitive component of attitude is usually studied, the results from a questionnaire of 300 respond-ents show that both the affective and cognitive components of attitude have a clearly positive, albeit varying, influence on behavioural intention, with the affective component having an even greater effect on attitude than the cog-nitive aspect. No correlation was found between knowledge and behavioural intention. The results indicate that attitude is an important factor to include when developing behavioural interventions, but also that different kinds of attitude should be addressed differently in interventions.
