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Auditory Interfaces as a Sign System: An Application of Peircean Semiotics to Human-Computer Interaction
Unformatted Document Text:  YY use already-familiar coding schemes (natural languages) to interpret the meanings, verbal messages would provide better environment in HCI. On the contrary, auditory icons would require users to establish new coding schemes, and as such, demand for more mental efforts from users. As voice recognition and text-to-speech technologies are developing rapidly, the auditory interfaces with verbal messages will be much more seamless and natural, and as such, their usability will become all the much higher than the usability of earcons and auditory icons. I, however, have no intention to assert that verbal messages ˆ™ŒGˆ“žˆ šGsuperior to earcons and auditory icons. Our point is rather that sociable and humanized environments will enjoy natural advantage over machine-like interfaces in human-computer interactions. No should we believe that our results can be generalized without any modification. In some cases, for, say, routinized and simple tasks and perhaps for emergent warnings, earcons and auditory icons might be better. We hope our study call for more attention of communication scholars to studies of auditory interfaces.

Authors: Nam, Yoon Jae.
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YY
use already-familiar coding schemes (natural languages) to interpret the meanings, verbal messages
would provide better environment in HCI. On the contrary, auditory icons would require users to
establish new coding schemes, and as such, demand for more mental efforts from users.
As voice recognition and text-to-speech technologies are developing rapidly, the auditory
interfaces with verbal messages will be much more seamless and natural, and as such, their
usability will become all the much higher than the usability of earcons and auditory icons.
I, however, have no intention to assert that verbal messages ˆ™ŒGˆ“žˆ šGsuperior to earcons
and auditory icons. Our point is rather that sociable and humanized environments will enjoy
natural advantage over machine-like interfaces in human-computer interactions. No should we
believe that our results can be generalized without any modification. In some cases, for, say,
routinized and simple tasks and perhaps for emergent warnings, earcons and auditory icons might
be better. We hope our study call for more attention of communication scholars to studies of
auditory interfaces.


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