Ronal Singh

Ronal Singh
University of Melbourne | MSD · Department of Computing and Information Systems

About

21
Publications
4,778
Reads
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62
Citations
Citations since 2016
18 Research Items
62 Citations
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Publications

Publications (21)
Conference Paper
Full-text available
Research shows that performance of human teams improves when members have a shared understanding of their task; that is, when teams develop and use a shared mental model (SMM). An SMM can contain different types of information or components and this paper investigates the influence on team performance of sharing different components. We consider tw...
Conference Paper
Full-text available
Designers of human-agent systems use the term “interdependence,” drawing on the work of organisational theorists and sociologists that is set in a human context. In this paper, we extend the agent systems analysis by semi-formally defining several types of task and agent interdependence that are introduced in the organisation theory literature. We...
Chapter
Intelligent agents assist people in complex scenarios, such as managing teams of semi-autonomous vehicles. However, planning models may be incomplete, leading to plans that do not adequately meet the stated objectives, especially in unpredicted situations. Humans, who are apt at identifying and adapting to unusual situations, may be able to assist...
Preprint
In this paper, we show that counterfactual explanations of confidence scores help users better understand and better trust an AI model's prediction in human-subject studies. Showing confidence scores in human-agent interaction systems can help build trust between humans and AI systems. However, most existing research only used the confidence score...
Conference Paper
Full-text available
Gaze-based intention detection has been explored for robotic-assisted neuro-rehabilitation in recent years. As eye movements often precede hand movements, robotic devices can use gaze information to augment the detection of movement intention in upper-limb rehabilitation. However, due to the likely practical drawbacks of using head-mounted eye trac...
Conference Paper
Full-text available
More than 18 months after it was first identified, the COVID-19 pandemic continues to restrict researchers’ opportunities to conduct research in face-to-face settings. This affects studies requiring participants to be co-located, such as those that examine the play of multiplayer boardgames. We present two methods for observing the play of boardgam...
Article
Eye gaze has the potential to provide insight into the minds of individuals, and this idea has been used in prior research to improve human goal recognition by combining human's actions and gaze. However, most existing research assumes that people are rational and honest. In adversarial scenarios, people may deliberately alter their actions and gaz...
Preprint
Full-text available
Intelligent agents powered by AI planning assist people in complex scenarios, such as managing teams of semi-autonomous vehicles. However, AI planning models may be incomplete, leading to plans that do not adequately meet the stated objectives, especially in unpredicted situations. Humans, who are apt at identifying and adapting to unusual situatio...
Preprint
Full-text available
Several social factors impact how people respond to AI explanations used to justify AI decisions affecting them personally. In this position paper, we define a framework called the \textit{layers of explanation} (LEx), a lens through which we can assess the appropriateness of different types of explanations. The framework uses the notions of \texti...
Preprint
Full-text available
This paper investigates the prospects of using directive explanations to assist people in achieving recourse of machine learning decisions. Directive explanations list which specific actions an individual needs to take to achieve their desired outcome. If a machine learning model makes a decision that is detrimental to an individual (e.g. denying a...
Chapter
Full-text available
In recent years, we have explored the use of gaze—an important nonverbal communication signal and cue in everyday human-human interaction—for use with AI systems. Specifically, our work investigated whether an artificial agent, given the ability to observe human gaze, can make inferences on intentions, and how aspects of these inferences can be com...
Article
Intention recognition is the process of using behavioural cues, such as deliberative actions, eye gaze, and gestures, to infer an agent's goals or future behaviour. In artificial intelligence, one approach for intention recognition is to use a model of possible behaviour to rate intentions as more likely if they are a better ‘fit’ to actions observ...
Conference Paper
Full-text available
Intention recognition is the process of using behavioural cues to infer an agent's goals or future behaviour. In face-to-face communication, our gaze implicitly signals our point of interest within the environment and therefore, inadvertently leaks our unspoken intentions to others. In our published body of work, we leverage this implicit function...
Conference Paper
Full-text available
Commercial smart eyewear products designed for day-today use have drastically improved in recent years. However, the current utility and applications of smart eyewear can be easily substituted with other smart wearables. In this paper, we propose the integration of an artificial agent capable of performing gaze-based intention recognition on smart...
Chapter
Full-text available
As it becomes more common for humans to work alongside artificial agents on everyday tasks, it is increasingly important to design artificial agents that can understand and interact with their human counterparts naturally. We posit that an effective way to do this is to harness nonverbal cues used in human-human interaction. We, therefore, leverage...
Preprint
Full-text available
As artificial intelligence (AI) systems become increasingly complex and ubiquitous, these systems will be responsible for making decisions that directly affect individuals and society as a whole. Such decisions will need to be justified due to ethical concerns as well as trust, but achieving this has become difficult due to the `black-box' nature m...
Conference Paper
Full-text available
As artificial intelligence (AI) systems become increasingly complex and ubiquitous, these systems will be responsible for making decisions that directly affect individuals and society as a whole. Such decisions will need to be justified due to ethical concerns as well as trust, but achieving this has become difficult due to the 'black-box' nature m...
Conference Paper
Full-text available
Intention recognition is the process of using behavioural cues to infer an agent's goals or future behaviour. People use many behavioural cues to infer others' intentions, such as deliberative actions, facial expressions, eye gaze, and gestures. In artificial intelligence, two approaches for intention recognition, among others, are gaze-based and m...

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Projects

Project (1)
Project
This project aims to explore various aspects of social gaze in HCI, from its applications for multi user interaction to its awareness on surfaces.