ORCID Profile
0000-0003-4414-2249
Current Organisation
University of Melbourne
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Information Systems | Computer-Human Interaction | Adaptive Agents and Intelligent Robotics |
Expanding Knowledge in the Information and Computing Sciences | Computer Software and Services not elsewhere classified
Publisher: Elsevier BV
Date: 07-2023
Publisher: ACM
Date: 12-06-2023
Publisher: ACM
Date: 07-12-2015
Publisher: ACM
Date: 19-04-2023
Publisher: Wiley
Date: 23-05-2022
DOI: 10.1111/MODL.12773
Abstract: Although core in the teaching of academic language skills, little research to date has investigated what makes video‐recorded lectures difficult for language learners. As part of a larger program to develop automated videotext complexity measures, this study reports on selected dimensions of linguistic complexity to understand how they contribute to overall videotext difficulty. Based on the ratings of English language learners of 320 video lectures, we built regression models to predict subjective estimates of video lecture difficulty. The results of our analysis demonstrate that a 4‐component partial least square regression model explains 52% of the variance in video difficulty and significantly outperformed a baseline model in predicting the difficulty of videos in an out‐of‐s le testing set. The results of our study point to the use of linguistic complexity features for predicting overall videotext difficulty and raise the possibility of developing automated systems for measuring video difficulty, akin to those already available for estimating the readability of written materials.
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Association for Computing Machinery (ACM)
Date: 09-2015
DOI: 10.1145/2810044
Abstract: Now that virtual reality headsets are finally reaching the wider consumer market, how can we merge the physical and virtual worlds to create a unified multi-sensory experience?
Publisher: JMIR Publications Inc.
Date: 27-10-2020
DOI: 10.2196/19874
Abstract: The use of location-based data in clinical settings is often limited to real-time monitoring. In this study, we aim to develop a proximity-based localization system and show how its longitudinal deployment can provide operational insights related to staff and patients' mobility and room occupancy in clinical settings. Such a streamlined data-driven approach can help in increasing the uptime of operating rooms and more broadly provide an improved understanding of facility utilization. The aim of this study is to measure the accuracy of the system and algorithmically calculate measures of mobility and occupancy. We developed a Bluetooth low energy, proximity-based localization system and deployed it in a hospital for 30 days. The system recorded the position of 75 people (17 patients and 55 staff) during this period. In addition, we collected ground-truth data and used them to validate system performance and accuracy. A number of analyses were conducted to estimate how people move in the hospital and where they spend their time. Using ground-truth data, we estimated the accuracy of our system to be 96%. Using mobility trace analysis, we generated occupancy rates for different rooms in the hospital occupied by both staff and patients. We were also able to measure how much time, on average, patients spend in different rooms of the hospital. Finally, using unsupervised hierarchical clustering, we showed that the system could differentiate between staff and patients without training. Analysis of longitudinal, location-based data can offer rich operational insights into hospital efficiency. In particular, they allow quick and consistent assessment of new strategies and protocols and provide a quantitative way to measure their effectiveness.
Publisher: JMIR Publications Inc.
Date: 05-05-2020
Abstract: he use of location-based data in clinical settings is often limited to real-time monitoring. In this study, we aim to develop a proximity-based localization system and show how its longitudinal deployment can provide operational insights related to staff and patients' mobility and room occupancy in clinical settings. Such a streamlined data-driven approach can help in increasing the uptime of operating rooms and more broadly provide an improved understanding of facility utilization. he aim of this study is to measure the accuracy of the system and algorithmically calculate measures of mobility and occupancy. e developed a Bluetooth low energy, proximity-based localization system and deployed it in a hospital for 30 days. The system recorded the position of 75 people (17 patients and 55 staff) during this period. In addition, we collected ground-truth data and used them to validate system performance and accuracy. A number of analyses were conducted to estimate how people move in the hospital and where they spend their time. sing ground-truth data, we estimated the accuracy of our system to be 96%. Using mobility trace analysis, we generated occupancy rates for different rooms in the hospital occupied by both staff and patients. We were also able to measure how much time, on average, patients spend in different rooms of the hospital. Finally, using unsupervised hierarchical clustering, we showed that the system could differentiate between staff and patients without training. nalysis of longitudinal, location-based data can offer rich operational insights into hospital efficiency. In particular, they allow quick and consistent assessment of new strategies and protocols and provide a quantitative way to measure their effectiveness.
Publisher: ACM
Date: 15-10-2016
Publisher: Association for Computing Machinery (ACM)
Date: 28-04-2017
DOI: 10.1145/3064937
Abstract: Selection is a canonical task in user interfaces, commonly supported by presenting objects for acquisition by pointing. In this article, we consider motion correlation as an alternative for selection. The principle is to represent available objects by motion in the interface, have users identify a target by mimicking its specific motion, and use the correlation between the system’s output with the user’s input to determine the selection. The resulting interaction has compelling properties, as users are guided by motion feedback, and only need to copy a presented motion. Motion correlation has been explored in earlier work but only recently begun to feature in holistic interface designs. We provide a first comprehensive review of the principle, and present an analysis of five previously published works, in which motion correlation underpinned the design of novel gaze and gesture interfaces for erse application contexts. We derive guidelines for motion correlation algorithms, motion feedback, choice of modalities, overall design of motion correlation interfaces, and identify opportunities and challenges identified for future research and design.
Publisher: Center for Open Science
Date: 10-08-2022
Abstract: Introduction: Physiotherapy students are required to develop psychomotor skills essential for the assessment and treatment of patients with back pain. The technique involves generating forces on the spine to feel the level of intervertebral movement. Objective: The objective of this scoping review is to understand the extent and type of evidence in relation to the efficacy of manual devices used for teaching spinal manual therapy skills in tertiary education settings. Methods: A systematic scoping review will be conducted following the Joanna Briggs framework for scoping reviews. This review aims to map the concept, context, and measures of the efficacy of manual devices in their contribution to teaching spinal mobilisation skills. We will conduct an electronic database search (e.g., MEDLINE, CINAHL, Web of Science, Embase, Cochrane Database), a search of the grey literature (e.g., PROSPERO, OpenGrey, EThOS e-theses online service) and handsearching the identified articles’ reference lists. This review will seek English-language, full text primary or secondary research articles of any research design. There will be no time restrictions placed on the searches. A purpose-built data extraction tool will be designed in a Microsoft Excel spreadsheet. The inclusion criteria following the participants, concept, and context (PCC) framework include higher education students that have been exposed to and used manual devices to affect their skills in manual mobilisation of the spine during their training in the field of musculoskeletal health.Overarching review question: What is reported in the literature regarding the efficacy of manual/ haptic devices for teaching spinal manual therapy psychomotor skills in tertiary education?Discussion: The results of this scoping review will inform the continued development and evaluation of a manual device designed to assist training physiotherapy students in spinal manual therapy and force generation parameters during spinal manual therapy techniques.
Publisher: ACM
Date: 07-03-2013
Publisher: Springer Science and Business Media LLC
Date: 12-12-2018
Publisher: IEEE
Date: 10-2012
DOI: 10.1109/SBSC.2012.30
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: Springer International Publishing
Date: 2019
Publisher: ACM
Date: 17-09-2011
Publisher: ACM
Date: 06-0008
Publisher: ACM
Date: 19-10-2014
Publisher: Association for Computing Machinery (ACM)
Date: 15-12-2022
DOI: 10.1145/3543509
Abstract: The design and evaluation of accessibility technology is a core component of the computer science landscape, aiming to ensure that digital innovations are accessible to all. One of the most prominent and long-lasting areas of accessibility research focuses on motor impairments—deficiencies that affect the ability to move, manipulate objects, and interact with the physical world. In this survey article, we present an extensive overview of the past two decades of research into accessibility for people with motor impairments. Following a structured selection process, we analyzed the study details as reported in 177 relevant papers. Based on this analysis, we critically assess user representation, measurement instruments, and existing barriers that exist in accessibility research. Finally, we discuss future directions for accessibility research within the computer science domain.
Publisher: ACM
Date: 02-05-2019
Publisher: ACM
Date: 16-11-2014
Publisher: Association for Computing Machinery (ACM)
Date: 28-12-2015
DOI: 10.1145/2854149
Abstract: Demos at UBICOMP 2015 provided researchers with an opportunity to present their latest cutting-edge research, but also early implementations, prototypes, work-in-progress systems, and commercial products. At UBICOMP, demos offer a chance for authors to engage the attendees and media representatives at a personal level and let them see, touch, and experience the future of ubicomp. Itiro Siio and Sidhant Gupta, UBICOMP 2015 Demo Chairs
Publisher: Association for Computing Machinery (ACM)
Date: 24-09-2015
DOI: 10.1145/2816455
Abstract: Foot-operated computer interfaces have been studied since the inception of human--computer interaction. Thanks to the miniaturisation and decreasing cost of sensing technology, there is an increasing interest exploring this alternative input modality, but no comprehensive overview of its research landscape. In this survey, we review the literature on interfaces operated by the lower limbs. We investigate the characteristics of users and how they affect the design of such interfaces. Next, we describe and analyse foot-based research prototypes and commercial systems in how they capture input and provide feedback. We then analyse the interactions between users and systems from the perspective of the actions performed in these interactions. Finally, we discuss our findings and use them to identify open questions and directions for future research.
Publisher: Elsevier BV
Date: 05-2019
Publisher: ACM
Date: 19-04-2023
Publisher: IEEE
Date: 09-2013
DOI: 10.1109/ACII.2013.29
Publisher: Association for Computing Machinery (ACM)
Date: 29-03-2019
DOI: 10.1145/3314411
Abstract: Research shows that environmental factors such as ambient noise and cold ambience can render users situationally impaired, adversely affecting interaction with mobile devices. However, an internal factor which is known to negatively impact cognitive abilities -- stress -- has not been systematically investigated in terms of its impact on mobile interaction. In this paper, we report a study where we use the Trier Social Stress Test to induce stress on participants, and investigate its effect on three aspects of mobile interaction: target acquisition, visual search, and text entry. We find that stress reduces completion time and accuracy during target acquisition tasks, as well as completion time during visual search tasks. Finally, we are able to directly contrast the magnitude of these effects to previously published effects of environmentally-caused impairments. Our work contributes to the growing body of literature on situational impairments.
Publisher: Elsevier BV
Date: 12-2023
Publisher: ACM
Date: 19-04-2023
Publisher: ACM
Date: 19-04-2023
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 01-2019
End Date: 12-2022
Amount: $380,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2018
End Date: 07-2023
Amount: $368,446.00
Funder: Australian Research Council
View Funded Activity