Human-Agent Interaction Design for Reducing Indebtedness
نویسندگان
چکیده
منابع مشابه
Designing for Human-Agent Interaction
d e Interacting with a computer requires adopting some metaphor to guide our actions an xpectations. Most human-computer interfaces can be classified according to two r t dominant metaphors: agent or environment. Interactions based on an agent metapho reat the computer as an intermediary which responds to user requests. In the environd ment metaphor a model of the task domain is presented for t...
متن کاملDesigning for Human-Agent Interaction
some metaphor to guide our actions and expectations. Most human-computer interfaces can be classified according to two dominant metaphors: (1) agent and (2) environment. Interactions based on an agent metaphor treat the computer as an intermediary that responds to user requests. In the environment metaphor, a model of the task domain is presented for the user to interact with directly. The term...
متن کاملDesign for Manufacturability via Agent Interaction
1 We describe an approach for making the capability of manufacturing processes manifest to designers starting with the earliest stages of geometry specification. The approach involves a dialogue among design and manufacturing agents over the Internet. The dialogue focuses on the specification and exchange of process capability models for establishing “design rules on-demand” to ensure manufactu...
متن کاملEnabling Rich Human-Agent Interaction for a Calendaring Scheduling Agent
The RhaiCAL system provides novel visualizations and interaction techniques for interacting with an intelligent agent, with an emphasis on calendar scheduling. After an agent interprets natural language containing meeting information, a user can easily correct mistakes using RhaiCAL’s clarification dialogs, which provide the agent with feedback to improve its performance. When an agent proposes...
متن کاملAn affective virtual agent for natural human-agent interaction
Figure 1: The affect model used by the agent Through simulations, we tested these models for internal consistency and were successful in establishing the relationships among the factors as suggested by the earlier user studies [3]. We confronted our agent system with real users to check whether users recognize that our agents function in similar ways as humans do. Through a structured question...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
سال: 2015
ISSN: 1347-7986,1881-7203
DOI: 10.3156/jsoft.27.898