Effective Interfaces

Leaders: Lawrence Cavedon and Robert Dale

As our technology gets more complex, so do the interfaces we use to communicate with that technology. Communication breakdown in these interfaces is evident all around us: video recorder remote controls with functionalities too complex to understand, and repeated frustration at call-centre automation via less than perfect speech recognition, are two very visible instances.

This doesn't need to be the case: humans are more complex than any devices we have yet created, but we communicate with each other effortlessly. This research priority area focuses on what it is that makes a human-computer interface, particularly one where speech is used as the mode of communication, effective. Can we achieve effectiveness by making these interfaces more 'natural', and if so, how natural should such interfaces be? In particular, what can we learn from human-human communication? What aspects of communication between humans does it make sense to attempt to mimic in human-machine interfaces? Can our understanding of the production and perception of music help make interfaces more effective and affective? By bringing together expertise from HCSNet contributing disciplines as diverse as speech processing, linguistics, psychology, human-computer interaction, graphics, music, and audio-visual communication, this priority area aims to shed new light on how we can improve human-machine interfaces.

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