Open Access
Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5 Edition
TLDR
The author team, expanded for the fifth edition, brings unparalleled industry and academic experience, enhancing the book's usefulness in informing readers, clarifying opportunities, and inspiring excellence.Abstract:
The author team, expanded for the fifth edition, brings unparalleled industry and academic experience, enhancing the book's usefulness in informing readers, clarifying opportunities, and inspiring excellence. Maxine Cohen and Steven Jacobs were contributing authors, who enabled us to provide: Expanded coverage of social media & social networking Figure 1: Cover for Designing the User Interface, 5 editionread more
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Intelligent Automated Assistant
Thomas R. Gruber,Adam Cheyer,Dag Kittlaus,Didier Rene Guzzoni,Christopher Dean Brigham,Richard Donald Giuli,Marcello Bastea-Forte,Harry J. Saddler +7 more
TL;DR: In this article, an intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions.
Journal ArticleDOI
Power to the People: The Role of Humans in Interactive Machine Learning
TL;DR: It is argued that the design process for interactive machine learning systems should involve users at all stages: explorations that reveal human interaction patterns and inspire novel interaction methods, as well as refinement stages to tune details of the interface and choose among alternatives.
Journal ArticleDOI
The Reader-to-Leader Framework: Motivating Technology-Mediated Social Participation
Jennifer Preece,Ben Shneiderman +1 more
TL;DR: In this article, the Reader-to-Leader Framework is proposed to understand what motivates technology-mediated social participation and improve user interface design and social support for companies, government agencies, and non-governmental organizations.
Patent
Using context information to facilitate processing of commands in a virtual assistant
TL;DR: In this article, a virtual assistant uses context information to supplement natural language or gestural input from a user, which helps to clarify the user's intent and reduce the number of candidate interpretations of user's input, and reduces the need for the user to provide excessive clarification input.
Patent
Automatically adapting user interfaces for hands-free interaction
TL;DR: In this article, the authors present a method for automatically determining whether a digital assistant application has been separately invoked by a user without regard to whether a user has separately invoked the application.