The current complexity of IoT systems and devices is a barrier to reach a healthy ecosystem,
mainly due to technological fragmentation and inherent heterogeneity. Meanwhile, the field …

Mobile task automation is an attractive technique that aims to enable voice-based hands-
free user interaction with smartphones. However, existing approaches suffer from poor …

Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

Natural language programming is a promising approach to enable end users to instruct new
tasks for intelligent agents. However, our formative study found that end users would often …

Context-aware application development frameworks enable context management and
environment adaptation to automatize people's activities. New technologies such as 5G and …

Recognition of human behavior plays an important role in context-aware applications.
However, it is still a challenge for end-users to build personalized applications that …

We present a novel interactive learning protocol that enables training request-fulfilling
agents by verbally describing their activities. Unlike imitation learning (IL), our protocol …

The advent of large language models (LLMs) has opened up new opportunities in the field
of mobile task automation. Their superior language understanding and reasoning …

Automations in the context of smart homes have been adopted more and more frequently;
thus, users should be able to control them and create automations most suitable to their …

In order for conversational AI systems to hold more natural and broad-ranging
conversations, they will require much more commonsense, including the ability to identify …