Biogeography-based optimization (BBO) is a new evolutionary algorithm that is inspired by biogeography. Previous work has shown that BBO is a competitive optimization algorithm, and it demonstrates good performance on various benchmark functions and real-world optimization problems. Motivated by biogeography theory and previous results, three variations of BBO migration are introduced in this p...

In this work we show that there is a need of using multimodal resources during human-computer interaction (HCI) in intelligent systems. We propose that not only creating multimodal output for the user is important, but to take multimodal input resources into account for the decision when and how to interact. Especially the use of multimodal input resources for the decision when and how to provi...

Interest in multimodal function optimization is expanding rapidly since real-world optimization problems often demand locating multiple optima within a search space. This article presents a new multimodal optimization algorithm named as the Collective Animal Behavior (CAB). Animal groups, such as schools of fish, flocks of birds, swarms of locusts and herds of wildebeest, exhibit a variety of b...

Currently available mobile devices lack the flexibility and simplicity their users require of them. To start with, most of them rigidly offer impoverished, traditional interactive mechanisms which are not handy for mobile users. Those which are multimodal lack the grace to adapt to the current task and context of their users. Some of the reasons for such inflexibility are the cost, duration and...

This paper presents a set of tools to support multimodal adaptive Web applications. The contributions include a novel solution for generating multimodal interactive applications, which can be executed in any browserenabled device; and run-time support for obtaining multimodal adaptations at various granularity levels, which can be specified through a language for adaptation rules. The architect...

Updating the velocity in particle swarm optimization (PSO) consists of three terms: the inertia term, the cognitive term and the social term. The balance of these terms determines the balance of the global and local search abilities, and therefore the performance of PSO. In this work, an adaptive parallel PSO algorithm, which is based on the dynamic exchange of control parameters between adjace...

Multimodal interfaces are designed with a focus on flexibility, although very few multimodal systems currently are capable of adapting to major sources of user or environmental variation. The development of adaptive multimodal processing techniques will require empirical guidance on modeling key aspects of individual differences. In the present study, we collected data from 24 7-to-10-year-old ...

Techniques for information fusion are at the heart of multimodal system design. To develop new user-adaptive approaches for multimodal fusion, our lab has investigated the stability and basis of major individual differences that have been documented in users’ multimodal integration patterns. In this talk, I summarized the following: (1) there are large individual differences in users’ dominant ...