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Autonomous vehicles (AV) leverage Artificial Intelligence to reduce accidents and improve fuel efficiency while sharing the roads with human drivers. Current AV prototypes have not yet reached these goals, highlighting the need for better development and ...

In this work, we address the challenging and open problem of involving non-expert users in the data repairing problem as first-class citizens. Despite a large number of proposals that have been devoted to cleaning data from the point of view of expert ...

In the Big Data era, efficient data analytics workflows are imperative to extract useful and meaningful insights. Data analysts and scientists spend an inordinate amount of time finding the best workflow via trial and error to get accurate and meaningful ...

This Special Issue of the Journal of Data and Information Quality (JDIQ) contains novel theoretical and methodological contributions on data curation involving humans in the loop. In this editorial, we summarize the scope of the issue and briefly describe ...

Non-linearities in simulation arise from the time variance in wire- less mobile networks when integrated with human in the loop, human in the plant (HIL-HIP) physical systems under dynamic con- texts, leading to simulation slowdown. Time variance is ...

We present a comprehensive survey on the topic of sound and music composition using interactive evolutionary computation (IEC). After explaining the fundamentals of IEC and computer music, we investigate the research subject from various aspects, ...

Subject matter experts play an important role in customer support communities by responding to user queries. Some communities have adopted chatbots in addition to SMEs to address commonly asked questions. Yet, SME-bot interactions, particularly teaching ...

Imitation learning aims to mimic the behavior of experts without explicit reward signals. Passive imitation learning methods which use static expert datasets typically suffer from compounding error, low sample efficiency, and high hyper-parameter ...

A user often needs training and guidance while performing several daily life procedures, e.g., cooking, setting up a new appliance, or doing a COVID test. Watch-based human activity recognition (HAR) can track users' actions during these procedures. ...

Artificial Intelligence (AI) solutions are becoming prevalent in almost all aspects of human life. However, their acceptance may be limited by a lack of transparency of how the AI works. Explainable AI (XAI) aims to provide the users of AI systems with ...

The unexplainability and untrustworthiness of deep neural networks hinder their application in various high-risk fields. The existing methods lack solid evaluation metrics, interpretable models, and controllable manual manipulation. This paper presents ...

This paper proposes a video editor based on OpenShot with several state-of-the-art facial video editing algorithms as added functionalities. Our editor provides an easy-to-use interface to apply modern lip-syncing algorithms interactively. Apart from ...

The demand for systems using artificial intelligence has substantially boosted in recent times, especially with Machine Learning (ML) techniques. Systems that use ML supervision techniques need representative and correctly categorized data to ensure ...

This poster paper presents 2 recommendations for algorithm developers as best practices in the context of engineering design. Genetic algorithms are well suited for multi-objective optimisation problems which are common in engineering. However, the use ...

As human-robot interaction (HRI) researchers, like all scientists, we must demonstrate the reproducibility of findings-especially across robots. We present a three-study replication effort that illustrates the challenges and opportunities for ...

Understanding highly-dimensional data sets is a complex task. Traditionally, this problem has been tackled with linear pipelines that rely on mathematical models and algorithms to summarize relationships and structure, producing a visual representation ...

The main goal of any feedback control system is essentially to remove humans from the loop. This has always been the goal in the engineering of control systems. The MAPE-K loop is the embodiment of a feedback control loop in self-adaptive software ...

Capturing and effectively utilising user states and goals is becoming a timely challenge for successfully leveraging intelligent and usercentric systems in differentweb search and data mining applications. Examples of such systems are conversational ...

With individual behaviour and lifestyle determining 30-50% of people's health, research and supportive technology for affecting behaviour alteration remain urgently needed. Most existing persuasive systems are designed to persuade a user to change a ...