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Robin Kinkead

dblp:297/0353 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 62% Human-robot interaction · 19% Accessibility and assistive technology · 19%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools › natural user interface
voice user interface design
0.011987
Voice: technology searching for communication needs · CHI 1987
Human-robot interaction
speech recognition
0.011987
Voice: technology searching for communication needs · CHI 1987

Methods — techniques the papers use, named apart from their topics

user testing · 0.0evaluation · 0.0
YearPublicationVenuePosition
1987 Voice: technology searching for communication needs
abstract
Voice technology is just beginning to gain a foothold in the information processing world. Applications such as voice mail, credit verification, order entry and airline reservation systems are slowly being introduced. Critics of voice systems frequently point out their limitations with little understanding of their power or advantages. One key determinant of the success or failure of voice systems is the USER INTERFACE. It is important that the dialogue structure, prompts, system feedback and error messages be designed based on user input, testing and evaluation.Another key determinant of the success of voice systems is the careful matching of users, tasks and environment to the technology. Voice technology is often broken down into 3 major categories.Speech compression. Processing allows analog patterns of human speech to be digitized. Once stored in digital form, the information can be transmitted and played back.Common Applications: Voice Mail, Voice Annotation.Text-to-Speech. Processing allows computer-stored text to be translated and retrieved via a “synthesized” voice.Common applications: Remote retrieval of information (E-Mail, Calendar Appointments), Aids to Visually or Vocally Handicapped.Speech Recognition. Processing allows analog patterns of human speech to be translated into their text-based equivalent or into computer commands.Common Applications: Data Entry, Voice Activated Typewriter.
Arlene F. Aucella, Robin Kinkead, Anna M. Wichansky, Chris Schmandt
CHI2