2023
Petr Slovak, Alissa Antle, Nikki Theofanopoulou, Claudia Daudén Roquet, James Gross, Katherine Isbister. 2023. Designing for Emotion Regulation Interventions: An Agenda for HCI Theory and Research Journal Article . In ACM Trans. Comput.-Hum. Interact., vol. 30, no. 1, 2023, ISSN: 1073-0516.
Abstract | BibTeX | Tags: emotion regulation, mental health, Review, technology-enabled intervention
@article{10.1145/3569898,
title = {Designing for Emotion Regulation Interventions: An Agenda for HCI Theory and Research},
author = {Petr Slovak and Alissa Antle and Nikki Theofanopoulou and Claudia Daudén Roquet and James Gross and Katherine Isbister},
url = {https://doi.org/10.1145/3569898},
doi = {10.1145/3569898},
issn = {1073-0516},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-01},
journal = {ACM Trans. Comput.-Hum. Interact.},
volume = {30},
number = {1},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
abstract = {There is a growing interest in human-computer interaction (HCI) to envision, design, and evaluate technology-enabled interventions that support users’ emotion regulation. 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 psychology has yet to be fully realised. In this article, we synthesise HCI work on emotion regulation interventions and propose a three-part framework to guide technology designers in making: (i) theory-informed decisions about intervention targets; (ii) strategic decisions regarding the technology-enabled intervention mechanisms to be included in the system; and (iii) practical decisions around previous implementations of the selected intervention components. We show how this framework can both systematise HCI work to date and suggest a research agenda for future work.},
keywords = {emotion regulation, mental health, Review, technology-enabled intervention},
pubstate = {published},
tppubtype = {article}
}
There is a growing interest in human-computer interaction (HCI) to envision, design, and evaluate technology-enabled interventions that support users’ emotion regulation. 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 psychology has yet to be fully realised. In this article, we synthesise HCI work on emotion regulation interventions and propose a three-part framework to guide technology designers in making: (i) theory-informed decisions about intervention targets; (ii) strategic decisions regarding the technology-enabled intervention mechanisms to be included in the system; and (iii) practical decisions around previous implementations of the selected intervention components. We show how this framework can both systematise HCI work to date and suggest a research agenda for future work.
Jillian L. Warren, Alissa N. Antle, Alexandra Kitson, Alireza Davoodi. 2023. A codesign study exploring needs, strategies, and opportunities for digital health platforms to address pandemic-related impacts on children and families Journal Article . In International Journal of Child-Computer Interaction, 100596, 2023, ISSN: 2212-8689.
Abstract | Links | BibTeX | Tags: Child-Computer Interaction, Covid-19, Digital health platforms, Intergenerational codesign, mental health, No child alone, Private social networks, Socioemotional wellbeing
@article{WARREN2023100596,
title = {A codesign study exploring needs, strategies, and opportunities for digital health platforms to address pandemic-related impacts on children and families},
author = {Jillian L. Warren and Alissa N. Antle and Alexandra Kitson and Alireza Davoodi},
url = {https://www.sciencedirect.com/science/article/pii/S2212868923000338},
doi = {https://doi.org/10.1016/j.ijcci.2023.100596},
issn = {2212-8689},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {International Journal of Child-Computer Interaction},
pages = {100596},
abstract = {In this paper we contribute seven design opportunities for future digital health platforms, like Private Social Networks (PSNs), focused on supporting the (un)met mental health and socioemotional needs of children (∼8-12 years old) and their supporting adults (parents and teachers) in the wake of the Covid-19 pandemic. These were derived from the thematic analysis of a two-phase co-design study with children, their parents, and their teachers (Phase 1), and employees at our industry partner Company X (Phase 2). Our thematic findings contribute understanding about the types of experiences children, families and educators have had, and open the conversation around designing digital health platforms that can support mental health and socioemotional wellbeing in children and their supporting adults. Through individualized tracking, social capabilities, and secure, vetted sources of support, PSNs offer unique opportunities to (1) provide children with a safe space to share, reflect and come together, (2) extend existing practices related to SEL across children’s changing contexts and developmental needs, (2) support an integrated digital ecosystem of care across different stakeholders that allows for engagement and targeted interventions, and (3) support niche or marginalized communities in gaining access to relevant, meaningful and identity-specific support that may not otherwise be available.},
keywords = {Child-Computer Interaction, Covid-19, Digital health platforms, Intergenerational codesign, mental health, No child alone, Private social networks, Socioemotional wellbeing},
pubstate = {published},
tppubtype = {article}
}
In this paper we contribute seven design opportunities for future digital health platforms, like Private Social Networks (PSNs), focused on supporting the (un)met mental health and socioemotional needs of children (∼8-12 years old) and their supporting adults (parents and teachers) in the wake of the Covid-19 pandemic. These were derived from the thematic analysis of a two-phase co-design study with children, their parents, and their teachers (Phase 1), and employees at our industry partner Company X (Phase 2). Our thematic findings contribute understanding about the types of experiences children, families and educators have had, and open the conversation around designing digital health platforms that can support mental health and socioemotional wellbeing in children and their supporting adults. Through individualized tracking, social capabilities, and secure, vetted sources of support, PSNs offer unique opportunities to (1) provide children with a safe space to share, reflect and come together, (2) extend existing practices related to SEL across children’s changing contexts and developmental needs, (2) support an integrated digital ecosystem of care across different stakeholders that allows for engagement and targeted interventions, and (3) support niche or marginalized communities in gaining access to relevant, meaningful and identity-specific support that may not otherwise be available.
2018
Alissa N. Antle, Leslie Chesick, Elgin-Skye Mclaren. 2018. Opening up the Design Space of Neurofeedback Brain--Computer Interfaces for Children Journal Article . In ACM Trans. Comput.-Hum. Interact., vol. 24, no. 6, 2018, ISSN: 1073-0516.
Abstract | BibTeX | Tags: Brain-computer interfaces, children, conceptual framework, design, mental health, self-regulation, strong concepts
@article{10.1145/3131607,
title = {Opening up the Design Space of Neurofeedback Brain--Computer Interfaces for Children},
author = {Alissa N. Antle and Leslie Chesick and Elgin-Skye Mclaren},
url = {https://doi.org/10.1145/3131607},
doi = {10.1145/3131607},
issn = {1073-0516},
year = {2018},
date = {2018-01-01},
journal = {ACM Trans. Comput.-Hum. Interact.},
volume = {24},
number = {6},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
abstract = {Brain--computer interface applications (BCIs) utilizing neurofeedback (NF) can make invisible brain states visible in real time. Learning to recognize, modify, and regulate brain states is critical to all children's development and can improve learning, and emotional and mental health outcomes. How can we design usable and effective NF BCIs that help children learn and practice brain state self-regulation? Our contribution is a list of challenges for this emerging design space and a conceptual framework that addresses those challenges. The framework is composed of five interrelated strong concepts that we adapted from other design spaces. We derived the concepts reflectively, theoretically, and empirically through a design research process in which we created and evaluated a NF BCI, called Mind-Full, designed to help children living in Nepal who had suffered from complex trauma learn to self-regulate anxiety and attention. We add rigor to our derivation methodology by horizontally and vertically grounding our concepts, that is, relating them to similar concepts in the literature and instantiations in other artifacts. We illustrate the generative power of the concepts and the inter-relationships between them through the description of two new NF BCIs we created using the framework for urban and indigenous children with anxiety and attentional challenges. We then show the versatility of our framework by describing how it inspired and informed the conceptual design of three NF BCIs for different types of self-regulation: selective attention and working memory, pain management, and depression. Last, we discuss the contestability, defensibility, and substantiveness of our conceptual framework in order to ensure rigor in our research design process. Our contribution is a rigorously derived design framework that opens up this new and emerging design space of NF BCI's for children for other researchers and designers.},
keywords = {Brain-computer interfaces, children, conceptual framework, design, mental health, self-regulation, strong concepts},
pubstate = {published},
tppubtype = {article}
}
Brain--computer interface applications (BCIs) utilizing neurofeedback (NF) can make invisible brain states visible in real time. Learning to recognize, modify, and regulate brain states is critical to all children's development and can improve learning, and emotional and mental health outcomes. How can we design usable and effective NF BCIs that help children learn and practice brain state self-regulation? Our contribution is a list of challenges for this emerging design space and a conceptual framework that addresses those challenges. The framework is composed of five interrelated strong concepts that we adapted from other design spaces. We derived the concepts reflectively, theoretically, and empirically through a design research process in which we created and evaluated a NF BCI, called Mind-Full, designed to help children living in Nepal who had suffered from complex trauma learn to self-regulate anxiety and attention. We add rigor to our derivation methodology by horizontally and vertically grounding our concepts, that is, relating them to similar concepts in the literature and instantiations in other artifacts. We illustrate the generative power of the concepts and the inter-relationships between them through the description of two new NF BCIs we created using the framework for urban and indigenous children with anxiety and attentional challenges. We then show the versatility of our framework by describing how it inspired and informed the conceptual design of three NF BCIs for different types of self-regulation: selective attention and working memory, pain management, and depression. Last, we discuss the contestability, defensibility, and substantiveness of our conceptual framework in order to ensure rigor in our research design process. Our contribution is a rigorously derived design framework that opens up this new and emerging design space of NF BCI's for children for other researchers and designers.