Sharon Oviatt
Dados Biográficos
| ID | 5124191 |
|---|---|
| NOME | Sharon Oviatt |
| PRENOMES | Sharon |
| SOBRENOME | Oviatt |
| ASSINATURA | OVIATT S |
| AFILIAÇÕES | Monash University |
| ORCID | 0000-0003-4664-1412 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 6 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1997 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 2 |
A Taxonomy of Social Errors in Human-Robot Interaction
Robotic applications have entered various aspects of our lives, such as health care and educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are established and maintained through a positive social relationship between a user and a robot. This social relationship relies on the perceived competence of a robot on the social-emotional dimension. However, because of technical limitations and user heterogeneity, curre…
Designing the User Interface for Multimodal Speech and Pen-Based Gesture Applications
The growing interest in multimodal interface design is inspired in large part by the goals of supporting more transparent, flexible, efficient, and powerfully expressive means of humancomputer interaction than in the past. Multimodal interfaces are expected to support a wider range of diverse applications, to be usable by a broader spectrum of the average population, and to function more reliably under realistic and challenging usage conditions. …
Linguistic Adaptations During Spoken and Multimodal Error Resolution
Fragile error handling in recognition-based systems is a major problem that degrades their performance, frustrates users, and limits commercial potential. The aim of the present research was to analyze the types and magnitude of linguistic adaptation that occur during spoken and multimodal human-computer error resolution. A semiautomatic simulation method with a novel error-generation capability was used to collect samples of users' spoken and pe…
Mulitmodal Interactive Maps
Introduction to This Special Issue on Multimodal Interfaces
A Taxonomy of Social Errors in Human-Robot Interaction
Robotic applications have entered various aspects of our lives, such as health care and educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are established and maintained through a positive social relationship between a user and a robot. This social relationship relies on the perceived competence of a robot on the social-emotional dimension. However, because of technical limitations and user heterogeneity, curre…
Linguistic Adaptations During Spoken and Multimodal Error Resolution
Fragile error handling in recognition-based systems is a major problem that degrades their performance, frustrates users, and limits commercial potential. The aim of the present research was to analyze the types and magnitude of linguistic adaptation that occur during spoken and multimodal human-computer error resolution. A semiautomatic simulation method with a novel error-generation capability was used to collect samples of users' spoken and pe…
Mulitmodal Interactive Maps
Introduction to This Special Issue on Multimodal Interfaces
Linguistic Adaptations During Spoken and Multimodal Error Resolution
Fragile error handling in recognition-based systems is a major problem that degrades their performance, frustrates users, and limits commercial potential. The aim of the present research was to analyze the types and magnitude of linguistic adaptation that occur during spoken and multimodal human-computer error resolution. A semiautomatic simulation method with a novel error-generation capability was used to collect samples of users' spoken and pe…
Designing the User Interface for Multimodal Speech and Pen-Based Gesture Applications
The growing interest in multimodal interface design is inspired in large part by the goals of supporting more transparent, flexible, efficient, and powerfully expressive means of humancomputer interaction than in the past. Multimodal interfaces are expected to support a wider range of diverse applications, to be usable by a broader spectrum of the average population, and to function more reliably under realistic and challenging usage conditions. …
A Taxonomy of Social Errors in Human-Robot Interaction
Robotic applications have entered various aspects of our lives, such as health care and educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are established and maintained through a positive social relationship between a user and a robot. This social relationship relies on the perceived competence of a robot on the social-emotional dimension. However, because of technical limitations and user heterogeneity, curre…
Computer Science (5 obras) · Human–computer interaction (4 obras) · Artificial Intelligence (3 obras) · Psychology (3 obras) · Speech and dialogue systems (3 obras) · Usability and User Interface Design (2 obras) · Adaptation (eye (1 obras) · AI in Service Interactions (1 obras) · Alternation (linguistics (1 obras) · Artificial Intelligence (1 obras)