This paper presents two approaches to achieve attentiveness of a virtual quiz agent in the interactions with multiple users at the same time. One attempts to improve the agent with an utterance strategy to determine w...
详细信息
Embodied conversational agents (ECAs) are computer-generated, human-like characters that interact with human users in face-to-face conversations. ECA is a powerful tool for representing cultural differences and is sui...
In recent years, computer-generated interactive virtual characters, called Embodied Conversational Agents (ECAs), are subjects of considerable ongoing research. Nevertheless, their conversational abilities are mediocr...
详细信息
This paper proposes novel techniques for the improvement of the convergence characteristic of step-by-step time integrations in nonlinear transient eddy-current analyses. The proposed methods, which are based on the t...
详细信息
One of the most critical reason that prevents embodied conversational agents to be used in practical applications can be considered as the lack of the capabilities to be aware of multiple users and to interact with th...
详细信息
One of the most critical reason that prevents embodied conversational agents to be used in practical applications can be considered as the lack of the capabilities to be aware of multiple users and to interact with them. This paper presents our investigations in an advanced tour guide agent system serving two users and a simpler quiz agent kiosk which is developed for public exhibitions. To improve the life likeness of the agents, we propose that the agent should be attentive to its users. To achieve the agent's attentiveness toward the users, two aspects are considered: its utterance strategy toward the users and its internal attitude should be adaptive to users' status. To explore these two aspects more throughly, two prototype systems are implemented and evaluated with subject experiments respectively. In addition to regular questionnaires evaluation, GNAT test that measures implicit preference was conducted as well. The preliminary results implied that the experiment participants perceived that the agents are attentive and natural.
Embodied Conversational Agents (EGAs) are life-like computer generated characters that interact with human users in face-to-face multi-modal conversations. ECA systems are generally complex and difficult for individua...
详细信息
In the design process of a reconfigurable accelerator employing in an embedded system, multitude parameters may result in remarkable complexity and a large design space. Design space exploration as an alternative to t...
详细信息
The advancement of traffic makes world more and more internationalized and increases frequency of communication between people who come from different cultures. Differences in their conversation go beyond the language...
详细信息
ISBN:
(纸本)9531841101
The advancement of traffic makes world more and more internationalized and increases frequency of communication between people who come from different cultures. Differences in their conversation go beyond the languages they speak to the non-verbal behaviors they express while talking. To improve the abilities of the embodied conversational agents (ECAs) while interacting with human users we are working on the ECA based application, a tour guide of city Dubrovnik that servers visitors in Japanese, Croatian and general western cultures speaking in English. This paper presents the overall architecture and explains possible extension with another culture. It describes issues we met while making agent talk in Croatian and proposed solutions.
The Generation Challenge programme (GCP) is a global crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. A...
The Generation Challenge programme (GCP) is a global crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. A key consortium research activity is the development of a GCP crop bioinformatics platform to support GCP research. This platform includes the following: (i) shared, public platform-independent domain models, ontology, and data formats to enable interoperability of data and analysis flows within the platform;(ii) web service and registry technologies to identify, share, and integrate information across diverse, globally dispersed data sources, as well as to access high-performance computational (HPC) facilities for computationally intensive, high-throughput analyses of project data;(iii) platform-specific middleware reference implementations of the domain model integrating a suite of public (largely open-access/-source) databases and software tools into a workbench to facilitate biodiversity analysis, comparative analysis of crop genomic data, and plant breeding decision making.
This paper proposes a supervised version of a learning algorithm for a constructive neuro-immune network. The proposed methodology is developed by taking ideas from the immune system and learning vector quantization. ...
详细信息
This paper proposes a supervised version of a learning algorithm for a constructive neuro-immune network. The proposed methodology is developed by taking ideas from the immune system and learning vector quantization. The resulting classification algorithm is characterized by high-performance, similar to the ones produced by alternative methods in the literature, and parsimonious solutions, with a much smaller set of prototypes per class when compared with the other approaches. The number of prototypes is automatically defined by the convergence criterion. The algorithm requires a single user-defined parameter for training, associated with the convergence criterion, and the computational cost is sufficiently reduced to support applications involving large data sets.
暂无评论