A5028328053- Data Visualization and Analytics
- Video Analysis and Summarization
- Multimedia Communication and Technology
- Data Analysis with R
- Digital Humanities and Scholarship
- Image and Video Quality Assessment
- Visual and Cognitive Learning Processes
- Impact of Technology on Adolescents
- Image Retrieval and Classification Techniques
- Semantic Web and Ontologies
- Digital Mental Health Interventions
- Natural Language Processing Techniques
- Computer Graphics and Visualization Techniques
- Computational and Text Analysis Methods
- Child Development and Digital Technology
- Advanced Text Analysis Techniques
- Mental Health Research Topics
- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- Artificial Intelligence in Law
- Persona Design and Applications
- Personal Information Management and User Behavior
- Innovative Human-Technology Interaction
- Law in Society and Culture
- Multi-Agent Systems and Negotiation
King Khalid University
2025
King's College London
2018-2024
Google (United States)
2022
University of Oxford
2012-2017
Hewlett-Packard (United States)
2009
Hewlett-Packard (United Kingdom)
2008
Swansea University
2005
In written and spoken communications, figures of speech (e.g., metaphors synecdoche) are often used as an aid to help convey abstract or less tangible concepts. However, the benefits using rhetorical illustrations embellishments in visualization have so far been inconclusive. this work, we report empirical study evaluate hypotheses that visual may memorization, search concept comprehension. One major departure from related experiments literature is make use a dual-task methodology our...
This paper introduces design patterns for dashboards to inform dashboard processes. Despite a growing number of public examples, case studies, and general guidelines there is surprisingly little guidance dashboards. Such necessary inspire designs discuss tradeoffs in, e.g., screenspace, interaction, or information shown. Based on systematic review 144 dashboards, we report eight groups that provide common solutions in design. We combinations these "dashboard genres" such as narrative,...
This article investigates the latest language teaching and learning digital platforms, particularly concerning impact of emerging instructional technologies digitalized communication on foreign learning. Computer systems, tablets, smartphones are all considered as they relate to effects rapidly developing technological innovations. The study also shows interest in ethical concerns using tools platforms. data was gathered employing a questionnaire that modelled effect instructors students'...
Abstract In this paper, we present a user‐centered design study on poetry visualization. We develop rule‐based solution to address the conflicting needs for maintaining flexibility of visualizing large set poetic variables and reducing tedium cognitive load in interacting with visual mapping control panel. adopt Munzner's nested model maintain high‐level interactions end users closed loop. addition, examine three options alleviating difficulty poems latitudinally. several example uses...
The effort for combating the COVID-19 pandemic around world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges epidemiology, healthcare, biosciences, social sciences, there been an urgent need develop provide visualisation visual analytics (VIS) capacities support emergency responses under difficult operational conditions. this paper, we report experience group VIS volunteers who have...
Abstract Detecting similarity between texts is a frequently encountered text mining task. Because the measurement of typically composed number metrics, and some measures are sensitive to subjective interpretation, generic detector obtained using machine learning often has difficulties balancing roles different metrics according semantic context exhibited in specific collection texts. In order facilitate human interaction visual analytics process for detection, we first map problem pairwise...
This research measures human performance in inferring the functional types (i.e., home, work, leisure and transport) of locations geo-location data using different visual representations (textual, static animated visualizations) along with amounts (1, 3 or 5 day(s)). We first collected real life from tweets. then asked owners to tag their location points, resulting ground truth data. Using this dataset we conducted an empirical study involving 45 participants analyze how accurately they...
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting reflecting upon knowledge constructs-a series of ideas, approaches methods taken from existing research practice-deployed developed to support modelling the COVID-19 pandemic. Structured independent commentary these efforts is synthesized through iterative reflection develop: evidence effectiveness value in this context; open problems which communities may focus; guidance for...
Abstract Previous empirical studies for comparing parallel coordinates plots and scatter showed some uncertainty about their relative merits. Some of these focused on the task value retrieval, where visualization usually has a limited advantage over reading data directly. In this paper, we report an study that compares user performance, in terms accuracy response time, context four different tasks, namely clustering, outlier detection, change detection. order to evaluate merits two types...
Abstract In this paper, we present an empirical study designed to evaluate the hypothesis that humans’ soft knowledge can enhance cost‐benefit ratio of a visualization process by reducing potential distortion. particular, focused on impact three classes knowledge: (i) about application contexts, (ii) patterns be observed (i.e., in relation task), and (iii) statistical measures. We mapped these into control variables, used real‐world time series data construct stimuli. The results confirmed...
We present the design and development of a data visualization service (RAMPVIS) in response to urgent need support epidemiological modeling workflows during COVID-19 pandemic. Facing set demanding requirements several practical challenges, our small team volunteers had rely on existing knowledge components services computing, while thinking feet configuring composition adopting suitable approaches engineering. Through developing RAMPVIS service, we have gained useful experience ensuring...
In the process of developing an infrastructure for providing visualization and visual analytics (VIS) tools to epidemiologists modeling scientists, we encountered a technical challenge applying number designs numerous datasets rapidly reliably with limited development resources. this paper, present solution address challenge. Operationally, separate tasks data management, designs, plots dashboard deployment in order streamline workflow. Technically, utilize: ontology bring datasets,...
The effort for combating the COVID-19 pandemic around world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges epidemiology, healthcare, biosciences, social sciences, there been an urgent need develop provide visualisation visual analytics (VIS) capacities support emergency responses under difficult operational conditions. this paper, we report experience group VIS volunteers who have...
Visualization is widely accepted as an effective medium to communicate complex data a human observer. To do this effectively, visualizations have be carefully designed achieve certain intent. guidelines are proposed by the academic research community and practitioners facilitate visualization design. A few been received fair amount of attention, effort has made study, discuss, validate, falsify, adopt, adapt, or extend them. However, many not adequate exposure had opportunities undergone...
This paper introduces design patterns for dashboards to inform dashboard processes. Despite a growing number of public examples, case studies, and general guidelines there is surprisingly little guidance dashboards. Such necessary inspire designs discuss tradeoffs in, e.g., screenspace, interaction, or information shown. Based on systematic review 144 dashboards, we report eight groups that provide common solutions in design. We combinations these genres such as narrative, analytical,...
Crowdsourcing platforms, such as Amazon's Mechanical Turk (MTurk), are providing visualization researchers with a new avenue for conducting empirical studies. While platforms offer several advantages over lab-based studies, they also feature some "unknown" or "uncontrolled" variables, which could potentially introduce serious confounding effects in the resultant measurement data. In this paper, we present our experience of using repeated measures three studies MTurk. Each study presented...
Grounded theory (GT) is a research methodology that entails systematic workflow for generation grounded on emergent data. In this paper, we juxtapose GT workflows with typical in visualization and visual analytics, shortly VIS, underline the characteristics shared by these workflows. We explore landscape of VIS to observe where has been applied generate theories, explicitly as well implicitly. propose "why" typology characterizing aspects can potentially play significant role. outline "how"...