TY - GEN
T1 - Whistling to machines
AU - Esnaola, Urko
AU - Smithers, Tim
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/49949116738
U2 - 10.1007/11825890_10
DO - 10.1007/11825890_10
M3 - Conference contribution
AN - SCOPUS:49949116738
SN - 3540377859
SN - 9783540377856
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 198
EP - 226
BT - Ambient Intelligence in Everyday Life
T2 - Workshop of Ambient Intelligence in Everyday Life Workshop
Y2 - 21 July 2005 through 22 July 2005
ER -