This paper outlines an approach to provide adaptive user interfaces [5] for services provided by intelligent software agents in smart environments. After motivating the need for adaptive user interfaces, we propose how to achieve adaptivity at different levels by describing the basic ideas behind our implementation.

This article reviews basic principles of animal learning and their potential contribution to the adaptation of user interfaces. The principles of classical conditioning, as well as a model that predicts most of the conditioning phenomena, are exposed. This paradigm has been widely studied in ®elds like Psychology, Biology and Computational Neuroscience, since the properties for stimuli associat...

As autonomous agents perform increasingly important and complex tasks, they have the potential to greatly expand human capabilities. For this collaboration to be successful, a human must be able to effectively communicate goals and preferences to the agent, so the agent's choices will be consistent with those of the human user. We present our plans for integrating two lines of research towards ...

This paper outlines intelligent PID design for DCS. The design includes a PID algorithm with diverse standard options and algorithm extensions for wireless/event-driven control and for surge control. The core of the PID intelligence is adaptive process modeling based on model switching and parameter interpolation. The developed process model is applied to loop tuning, adaptive control, loop per...

A literature review was conducted to examine existing and potential advanced interface technologies for supervisory control of multiple heterogeneous assets (e.g., UAV swarming) in a NEO environment. These technologies include behavioural-based interface design approaches, physiological-based interface design approaches, and multi-agent interface design and implementation methodologies. The emp...

This paper discusses the problems of developing adaptive self-explaining interfaces for advanced World-Wide Web (WWW) applications. Two kinds of adaptation are considered: incremental learning and incremental interfaces. The key problem for these kinds of adaptation is to decide which interface features should be explained or enabled next. We analyze possible ways to implement incremental learn...

A literature review was conducted to examine existing and potential advanced interface technologies for supervisory control of multiple heterogeneous assets (e.g., UAV swarming) in a NEO environment. These technologies include behavioural-based interface design approaches, physiological-based interface design approaches, and multi-agent interface design and implementation methodologies. The emp...

Intra-abdominal infection (IAI) after hepatectomy is an important morbidity. Identification of risk factors that could be avoided in the perioperative period may reduce the prevalence of IAI after hepatectomy for hepatocelluar carcinoma (HCC).Between January 1995 and December 2009, all patients with HCC who underwent curative liver resection were evaluated retrospectively. Long-term outcomes we...

Polymicrobial intra-abdominal infections (IAIs) are clinically prevalent and cause significant morbidity and mortality, especially those involving fungi. Our laboratory developed a mouse model of IAI and demonstrated that intraperitoneal inoculation with Candida albicans or other virulent non-albicans Candida (NAC) species plus Staphylococcus aureus resulted in 70 to 80% mortality in 48 to 72 h...

CONTEXT Intra-amniotic infection (IAI) is commonly associated with preterm birth and adverse neonatal sequelae. Early diagnosis of IAI, however, has been hindered by insensitive or nonspecific tests. OBJECTIVE To identify unique protein signatures in rhesus monkeys with experimental IAI, a proteomics-based analysis of amniotic fluid was used to develop diagnostic biomarkers for subclinical IA...