An exploration of the importanceof emotional intelligence in midwifery

Background, Recognition of the importance of Emotional intelligence dates back as far as Aristotle (350BC). More recently the notion of emotional intelligence features in social psychology literature; it has also been embraced within personnel management and is now beginning to appear in nursing, medical and midwifery journals. Emotional intelligence involves possessing the capacity for motivation, creativity, the ability to operate at peak performance and the ability to persist in the face of setbacks and failures. Emotional intelligence refers to the ability to recognise our own feelings and those of others and it enables us to manage emotions effectively in ourselves and in our relationships. Midwives are constantly responding to change and challenges within maternity services. This paper examines how emotional intelligence can assist midwives in dealing with pressures which involve delivering the Government reforms, providing choice to women and facing current issues within the midwifery workforce. Midwives need emotional intelligence in order to express their feelings and recognize the feelings of others. Enhancing our relationships with colleagues and clients will ultimately impact on the quality of care delivered to women. Overall the aims of the paper are to create an awareness of the importance of emotional intelligence in practice and define emotional intelligence.

Emotional speech: towards a new generation of databases

Research on speech and emotion is moving from a period of exploratory research into one where there is a prospect of substantial applications, notably in human-computer interaction. Progress in the area relies heavily on the development of appropriate databases. This paper addresses the issues that need to be considered in developing databases of emotional speech, and shows how the challenge of developing apropriate databases is being addressed in three major recent projects - the Belfast project, the Reading-Leeds project and the CREST-ESP project. From these and other studies the paper draws together the tools and methods that have been developed, addresses the problems that arise and indicates the future directions for the development of emotional speech databases.