2023 Registered Publications

Publications are sourced from SFU's Research Expertise Engine.

Advanced modeling method for quantifying cumulative subjective fatigue in mid-air interaction
International Journal of Human Computer Studies
SIAT faculty authors: Stuerzlinger, W.
Abstract: ... A model-based method to quantify cumulative subjective fatigue for such interaction was recently introduced in HCI research. This model separates muscle units into three states: active (MA) fatigued (MF) or rested (MR) and defines transition rules between states. This method demonstrated promising accuracy in predicting subjective fatigue accumu...
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Designing for Emotion Regulation Interventions: An Agenda for HCI Theory and Research
ACM Transactions on Computer-Human Interaction
SIAT faculty authors: Antle, A.
Abstract: ... This interest stems in part from increased recognition that the ability to regulate emotions is critical to mental health, and that a lack of effective emotion regulation is a transdiagnostic factor for mental illness. However, the potential to combine innovative HCI designs with the theoretical grounding and state-of-the-art interventions from p...
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Evaluation of an Immersive COVID-19 Data Visualization
IEEE Computer Graphics and Applications
SIAT faculty authors: Stuerzlinger, W.
Abstract: ... However, these restrictions are necessary as they help reduce the spread of the virus. For the public to comply, easily comprehensible communication between decision makers and the public is thus crucial. To address this, we propose a novel 3-D visualization of COVID-19 data, which could increase the awareness of COVID-19 trends in the gener...
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How Students' Emotion and Motivation Changes after Viewing Dashboards with Varied Social Comparison Group: A Qualitative Study
ACM International Conference Proceeding Series
SIAT faculty authors: Hatala, M.
Abstract: ... In order to study the impact of these dashboards on learners, various types of prototypes have been designed and deployed in different settings. Applying Weiner's attribution theory, our goal in this study was to understand the effect of dashboard information content on learners. We wanted to understand how elements of assignment grade, time spent...
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Interactive Visual Analytics for Knowledge Integration and Decision Intelligence
Proceedings of the Annual Hawaii International Conference on System Sciences
SIAT faculty authors: Fisher, B.

Living-with and Designing-with Plants
Interactions
SIAT faculty authors: Wakkary, R.
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Pair Analytics in a Visual Analytics Context
Proceedings of the Annual Hawaii International Conference on System Sciences
SIAT faculty authors: Fisher, B.
Abstract: ... The hybrid research project itself was part of a larger research program approved for the Canadian government for their offset program and supported by Federal and Provincial research internships. As a real-world analysis approach, the pair analysis sessions conduced actionable causal chain analysis of aircraft safety. As a scientific method, pair analytics advanced our knowledge of the cognitive science of interpersonal communication in Joint Activities. The paper describes how aerospace researchers and cognitive scientists were able to design a research approach that met constraints from both areas. It concludes with discussion of the implications of this work for highly integrated basic and responsive research in other areas of visualization and analytics.

Predictors of the rate of cognitive decline in older adults using machine learning
PLoS ONE
SIAT faculty authors: DiPaola, S.
Abstract: ... Few studies have investigated the possibility of implementing prognostic models to predict cognitive changes with the combination of categorical and continuous data from multiple domains. Objective Implement a multivariate robust model to predict longitudinal cognitive changes over 12 years among older adults and to identify the most significant...
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Progression of students' SRL processes in subsequent programming problem-solving tasks and its association with tasks outcomes
Internet and Higher Education
SIAT faculty authors: Hatala, M.
Abstract: ... To learn to program means to master steps in the complex problem-solving activity. Previous research uncovered a rich set of domain-specific and generic cognitive and metacognitive strategies students use when they learn to program. The processes that problem-solving experts demonstrate are very similar to those studied by self-regulated le...
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TangiTeam: Supporting Social Regulation of Learning during Design-Based Learning
ACM International Conference Proceeding Series
SIAT faculty authors: Antle, A., Riecke, B.
Abstract: ... It requires students to leverage social regulation of learning. However, students in elementary education still need to develop these skills. Tangible User Interfaces might help students move up in the developmental trajectory through providing scaffolds and supporting positive interdependence. In this paper, we present the considerations and design of...
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The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications
IEEE Computer Graphics and Applications
SIAT faculty authors: Fisher, B.
Abstract: ... Currently, trust in ML applications is an implicit process that takes place in the user-s mind. As such, there is no method of feedback or communication of trust that can be acted upon. Our framework will be instrumenta...
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When to Intervene? Utilizing Two Facets of Temporality in Students' SRL Processes in a Programming Course
ACM International Conference Proceeding Series
SIAT faculty authors: Hatala, M.
Abstract: ... In the first aspect, which refers to the temporal order of Self-regulated learning (SRL) phases, we characterized four types of SRL processes based on phase transitions and the cyclical nature of SRL. The SRL types were mapped into the kinds of iterative behaviours over SRL phases which correspond to the theorized self-regulatory behaviours of stud...
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