Papers by Hashini Senaratne
ACM Transactions on Computing for Healthcare
Recently, interest has grown in the assessment of anxiety that leverages human physiological and ... more Recently, interest has grown in the assessment of anxiety that leverages human physiological and behavioral data to address the drawbacks of current subjective clinical assessments. Complex experiences of anxiety vary on multiple characteristics, including triggers, responses, duration and severity, and impact differently on the risk of anxiety disorders. This article reviews the past decade of studies that objectively analyzed various anxiety characteristics related to five common anxiety disorders in adults utilizing features of cardiac, electrodermal, blood pressure, respiratory, vocal, posture, movement, and eye metrics. Its originality lies in the synthesis and interpretation of consistently discovered heterogeneous predictors of anxiety and multimodal-multisensor analytics based on them. We reveal that few anxiety characteristics have been evaluated using multimodal-multisensor metrics, and many of the identified predictive features are confounded. As such, objective anxiety a...
TronicBoards: An Accessible Electronics Toolkit for People with Intellectual Disabilities
CHI Conference on Human Factors in Computing Systems, Apr 29, 2022
Anxiety Phases Dataset
The dataset in this repository includes a subset of <i>electrocardiogram</i>, <i&g... more The dataset in this repository includes a subset of <i>electrocardiogram</i>, <i>electrodermal</i>, <i>torso posture and activity</i>, <i>wrist activity</i>, and <i>leg activity</i> measures collected from a high- and low-anxiety group during a bug-phobic and social anxiety experience. Raw files of audio data are not made available to protect the anonymity of the participants, but can be made available upon request subject to ethics agreements. <b><br></b><b>If you use this open-source dataset, please cite the following conference article where this dataset is originally published at:</b><br>Hashini Senaratne, Levin Kuhlmann, Kirsten Ellis, Glenn Melvin, and Sharon Oviatt. 2021. A Multimodal Dataset and Evaluation for Feature Estimators of Temporal Phases of Anxiety. In Proceedings of the 2021 International Conference on Multimodal Interaction (ICMI '21), October 18–22, 2021, Montréal...
Therapist-Informed Design Directions for Mobile Assistive Technologies for Anxiety
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2022
Designing Efficacious Mobile Technologies for Anxiety Self-Regulation
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
This paper presents a step-by-step process that was developed primarily to extract design pre-req... more This paper presents a step-by-step process that was developed primarily to extract design pre-requisites for personalized mobile technologies assisting anxiety self-regulation. This process, which is recognized as a preliminary framework, was developed, refined, and tested based on a multidisciplinary literature review and an exploratory study conducted with mental health professionals who treat anxiety disorders. The step-by-step nature of this framework draws from multiple disciplinary and stakeholder perspectives, integrates knowledge about efficacious psychological interventions, considers individual differences and specific challenges faced by patients, and realizes contextual needs. It also includes incremental and iterative refinements based on multidisciplinary sources to foster more evidence-based interface designs. Once reached its maturity, this framework can potentially be applied for designing efficacious technologies for a range of mental health conditions. The expected future contributions and limitations of the framework are also discussed.
Detecting Temporal Phases of Anxiety in The Wild: Toward Continuously Adaptive Self-Regulation Technologies
2019 International Conference on Multimodal Interaction, 2019
Anxiety disorders are becoming more prevalent; therefore, the demand for mobile anxiety self-regu... more Anxiety disorders are becoming more prevalent; therefore, the demand for mobile anxiety self-regulation technologies is rising. However, the existing regulation technologies have not yet reached the ability to guide suitable interventions to a user in a timely manner. This is mainly due to the lack of maturity in the anxiety detection area. Hence, this research aims to (1) identify potential temporal phases of anxiety which could become effective personalization parameters for regulation technologies, (2) detect such phases through collecting and analyzing multimodal indicators of anxiety, and (3) design self-regulation technologies that can guide suitable interventions for the detected anxiety phase. Based on an exploratory study that was conducted with therapists treating anxiety disorders, potential temporal phases and common indicators of anxiety were identified. The design of anxiety detection and regulation technologies is currently in progress. The proposed research methodolo...
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 2021
A Multimodal Dataset and Evaluation for Feature Estimators of Temporal Phases of Anxiety
Proceedings of the 2021 International Conference on Multimodal Interaction, 2021
Vicious cycles of anxiety responses underlie the onset of increasingly prevalent and highly impai... more Vicious cycles of anxiety responses underlie the onset of increasingly prevalent and highly impairing anxiety disorders and also contribute to their maintenance. Our goal is to evaluate whether different anxiety responses are evident in temporal patterns of physiological and behavioral features. Consequently, we established a rich multimodal-multisensor dataset of cardiac, electrodermal, movement, posture, and speech measures from 95 young adults during two anxiety experiments that induce social anxiety and bug-phobic anxiety. A subset of this dataset is publicly available at “Anxiety Phases Dataset” Figshare repository. We adopted a generalized mixed model approach and found that 10 out of 14 feature trajectories modeled for high- and low-anxiety groups differ significantly at 0.001 level in magnitude, creating at least two temporal phases in both groups. Further differences in magnitude, duration and the number of phases were observed for responses of confrontation, safety behaviors, escape, and avoidance in the high-anxiety group. Our findings contribute to the long-term aim of designing multimodal systems that have great potential to reduce the impacts of anxiety disorders and improve therapy.
Electronic Workshops in Computing, 2017
This paper presents a visual programming model with its entire flow starting from the visual prog... more This paper presents a visual programming model with its entire flow starting from the visual program creation to the execution of the program on the target system. The introduced visual programming model is developed targeting modular hardware systems where the module specific execution of tasks is offloaded to the respective module. This model can be used on systems like robot kits and other module based programmable systems where modules have self-sufficient processing power, specially targeting STEM education. The nature of the target system and the message passing model of task execution have given this model the qualities like simplicity and extensibility. The generated executable consists of instructions that can be executed by the interpreter-like execution engine that resides in the central processing unit of the target system. This also gives the ability to directly execute instructions on the system without going through the traditional program translation process.
SiFEB -- A Simple, Interactive and Extensible Robot Playmate for Kids
2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, 2014
In this paper we present work in progress on SiFEB, a simple, interactive and extensible robot pl... more In this paper we present work in progress on SiFEB, a simple, interactive and extensible robot playmate for kids intended to nurture the engagement in STEM (Science, Technology, Engineering and Mathematics) related activities through playing. SiFEB's simplified and interactive hardware and software modules present users without prior experience, with the ability to build robots without going deep in either aspect. Kids can build robots of their interest using attachable hardware modules and related programming components using an easy to understand visual programming language that resembles natural commands. The potential developers may utilize the framework provided, to build hardware and software components to the system expanding the existing capabilities. Preliminary results from the prototypes show that SiFEB has the potential of being an effective learning platform for young children in STEM related areas.
Detecting and differentiating leg bouncing behaviour from everyday movements using tri-axial accelerometer data
Leg bouncing is assumed to be related to anxiety, engrossment, boredom, excitement, fatigue, impa... more Leg bouncing is assumed to be related to anxiety, engrossment, boredom, excitement, fatigue, impatience, and disinterest. Objective detection of this behaviour would enable researching its relation to different mental and emotional states. However, differentiating this behaviour from other movements is less studied. Also, it is less known which sensor placements are best for such detection. We collected recordings of everyday movements, including leg bouncing, from six leg bouncers using tri-axial accelerometers at three leg positions. Using a Random Forest Classifier and data collected at the ankle, we could obtain a 90% accuracy in the classification of the recorded everyday movements. Further, we obtained a 94% accuracy in classifying four types of leg bouncing. Based on the subjects' opinion on leg bouncing patterns and experience with wearables, we discuss future research opportunities in this domain.
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Papers by Hashini Senaratne