The society of mind
The fast Fourier transform and its applications
The fast Fourier transform and its applications
An evaluation of earcons for use in auditory human-computer interfaces
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Can we use music in computer-human communication?
HCI '95 Proceedings of the HCI'95 conference on People and computers X
The Role of Music in Multimedia
IEEE MultiMedia
Siren songs and swan songs debugging with music
Communications of the ACM - A game experience in every application
The universal whistling machine
SIGGRAPH '04 ACM SIGGRAPH 2004 Art gallery
Earcons and icons: their structure and common design principles
Human-Computer Interaction
| Hi-index | 0.00 |
The classical approach to improve human-machine interaction is to make machines seem more like us. One very common way of doing this is to try to make them able to use Human Natural Languages. The trouble is that current speech understanding techniques do not work well in uncontrolled and noisy environments, such as the ones we live and work in. Nor do these attempts mean that the machines use our languages in the way we do: they typically don't speak much like we do, and we mostly have to speak to them in special unnatural ways for them to be able to understand. Rather than require people to adapt how they speak to machines, so that the machines can understand them, we present a simple artificial language, based upon musical notes, that can be learned and whistled easily by most people, and so used for simple communication with robots and other kinds of machines that we use in our everyday environments.