Seven projects have been funded under the call for feasibility studies in the area of Human-Like Computing. For us, Human-Like computing refers to the ability to improve computer performance by building in human-like capability. In the field of biometrics, we use a psychological study of human performance to determine the factors that affect the human perceiver. Face recognition, for example, is affected by factors to do with viewing (such as pose, lighting or distance), as well as factors to do with the subject (such as expression or age-related changes). By understanding how the human perceiver overcomes these factors, we may improve the capability of the computer algorithm, which is currently very sensitive to such factors.