Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features

Depression is a serious mental disorder that affects millions of people all over the world. Traditional clinical diagnosis methods are subjective, complicated and need extensive participation of experts. Audio-visual automatic depression analysis systems predominantly base their predictions on very brief sequential segments, sometimes as little as one frame. Such data contains much redundant information, causes a high computational load, and negatively affects the detection accuracy. Final decision making at the sequence level is then based on the fusion of frame or segment level predictions. However, this approach loses longer term behavioural correlations, as the behaviours themselves are abstracted away by the frame-level predictions. We propose to on the one hand use automatically detected human behaviour primitives such as Gaze directions, Facial action units (AU), etc. as low-dimensional multi-channel time series data, which can then be used to create two sequence descriptors. The first calculates the sequence-level statistics of the behaviour primitives and the second casts the problem as a Convolutional Neural Network problem operating on a spectral representation of the multichannel behaviour signals. The results of depression detection (binary classification) and severity estimation (regression) experiments conducted on the AVEC 2016 DAIC-WOZ database show that both methods achieved significant improvement compared to the previous state of the art in terms of the depression severity estimation

Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings

This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour withprobabilistic cause-effect relations based not only on previous works, but also with conditional probabilities coming either from expert knowledge or deduced from observations. The approach has been used in the co-simulation of building physics and human behaviour in order to assess the CO 2 concentration in an office.Comment: IBPC 2015 Turin , Jun 2015, Turin, Italy. 201

Relationships, Human Behaviour and Financial Transactions

It is widely known that relationships and human behaviours such as trust, reciprocity and altruism that are observed in the human societies are capable of facilitating financial transactions. This paper proposes a theoretical model to argue that though these elements can facilitate financial transactions, they may not always ensure efficiency in the sense of creation of additional wealth. As financial resources are scarce, the paper argues that the financial transactions induced by relationships, trust, reciprocity and altruism may lead to inefficient allocations of resources

Understanding Social and Behaviour Change Communication

terms that should be understood first, as different words and second as an entity. SBCC is primarily a brand of communication that has long existed in the social and behavioural disciplines; in the social sciences and humanities. It is also a field of study that is strongly anchored on theories of human behaviour and the philosophies of human existence with the aim of bringing about a transformation of the negative human behaviour through the ecological system. Behaviour change specifically has attracted the concerns of economists and advertisers. Economists are concerned about human needs and wants as determined by human behavio

Collective Values, Behavioural Norms, and Rules: Building Institutions for Economic Growth and Poverty Reduction

Growth, Poverty, Rules, Institutions, Human behaviour

Exploring the use of Controlled English for communication with ACT-R agents

Research is being undertaken into sense-making by collaborative agents, based upon a cognitive framework of human behaviour, ACT-R, together with communication between the agents. We explore the use of Controlled English for this purpos