ACM/IEEE International Conference on Human-Robot Interaction
Proceeding of the 5th ACM/IEEE international conference on Human-robot interaction, Osaka, Japan Endnote Citation
- Sarah Kriz University of Washington, Seattle, WA, USA
- Gregory Anderson George Mason University, Fairfax, VA, USA
- J. Gregory Trafton U.S. Naval Research Laboratory, Washington, DC, USA
Abstract
The results indicate that participants
spoke more loudly, raised their pitch, and
hyperarticulated their messages when they
spoke to the robot, suggesting that they
viewed the robot as having low linguistic
competence. However, utterances show that
speakers often assumed that the robot had
humanlike cognitive capabilities. The
results suggest that while first-time users
were concerned with the fragility of the
robot's speech recognition system, they
believed that the robot had extremely
strong information processing
capabilities.

Cognitive Science; Nov2008, Vol. 32 Issue 7, p1217-1231, 15p, 1 Diagram, 6 Graphs Endnote Citation
- Kello, Christopher T.
- Anderson, Gregory G.
- Holden, John G.
- Van Orden, Guy C.
Abstract
An experiment was conducted
to investigate whether 1/f
scaling pervades the
intrinsic fluctuations of a
spoken word. Ten participants
each repeated the word
"bucket" over 1,000 times,
and fluctuations in acoustic
measurements across
repetitions generally
followed the 1/f scaling
relation, including numerous
parallel yet distinct series
of 1/f fluctuations. On the
basis of work showing that
1/f scaling is a universal
earmark of metastability, it
is proposed that the observed
pervasiveness of 1/f
fluctuations in speech
reflects the fact that
cognitive functions are
formed as metastable patterns
of activity in brain, body,
and environment.
