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Mobile sensing plays a crucial role in generating digital traces to understand human daily lives. However, studying behaviours like mood or sleep quality in smartphone users requires carefully designed mobile sensing strategies such as sensor selection ...

Designers often struggle to sufficiently explore large design spaces, which can lead to design fixation and suboptimal outcomes. Here we introduce DesignAID, a generative AI tool that supports broader design space exploration by first using large ...

With the support and promotion of big data and cloud computing, AI has penetrated into every field of people's lives more and more deeply, with its characteristics of sustainable work, extremely fast computing speed, and a certain intelligence. This is an ...

Editing (e.g., editing conceptual diagrams) is a typical office task that requires numerous tedious GUI operations, resulting in poor interaction efficiency and user experience, especially on mobile devices. In this paper, we present a new type of human-...

Code puzzles can be an engaging way to learn programming concepts, but getting stuck in a puzzle can be discouraging when no help or feedback is available. Intelligent tutoring systems can provide automatic individualized help, but they rely on having a ...

Interactive intelligent systems, i.e., interactive systems that employ AI technologies, are currently present in many parts of our social, public and political life. An issue reoccurring often in the development of these systems is the question regarding ...

Creative generative machine learning interfaces are stronger when multiple actors bearing different points of view actively contribute to them. User experience (UX) research and design involvement in the creation of machine learning (ML) models help ML ...

Creative writing, from poetry to journalism, is at the crux of human ingenuity and social interaction. Existing creative writing support tools produce entire passages or fully formed sentences, but these approaches fail to adapt to the writer's own ...

The booming popularity of data science is also affecting high-tech industries. However, since these usually have different core competencies --- building cyber-physical systems rather than e.g. machine learning or data mining algorithms --- delving into ...

The transformation that has been accomplished in Cultural Heritage (CH) during the last decades has resulted in the production of vast amounts of content from many different cultural institutions, such as museums, libraries and archives. A large part of ...

An open problem in neuroevolution (i.e. evolving artificial neural networks) is to evolve complex cognitive behaviors that allow robots to adapt and learn from past experience. While previous studies on the evolution of cognitive behaviors have shown ...

I recently argued that Turing, were he alive now, would conjecture differently than he did in 1950, and I suggested a new "Turing challenge" question, "Is it imaginable that a computer (agent) team member could behave, over the long term and in ...

Enterprise Resource Planning (ERP) Systems are notoriously difficult for users to operate. We present a framework that consists of a data model and algorithms that serve as a foundation for implementing design principles presented in an earlier paper ...

We introduce a new usability walkthrough method called Collaborative Critique (CC), which is inspired by the human-computer collaboration paradigm of system-user interaction. This method applies a "collaboration lens" to assessing the system's behavior ...

This paper discusses the basic concepts of computer support for situationn awareness. The main idea is to share “situations” by computer and human agents. Two cases of situation awareness are discussed. Some of the future research topics are listed.

This paper introduces a novel framework for collaborative object recognition, which expands the applicability and improves the accuracy of object recognition. In this framework, a system not only recognizes targets but also detects and evaluates ...

Designing for collaboration approaches systems and users as a team and focuses on the cooperation between the two. This work in progress aims to delineate how designing for collaboration is also inherently designing for usability. It is proposed that ...

This paper presents an approach for integrating multiple sources of semantics for the creating metadata. A new framework is proposed to define topics and themes with both manually and automatically generated terms. The automatically generated terms ...

This workshop addresses the issue of evaluating multimodal dialogue systems, and in particular the characteristics and interaction styles that are particularly effective for human-machine collaborative task performance.

In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of human tutors coaching students in on-line learning tasks. It takes into ...