Design Artifacts Research Articles

Exploring the effects of scaffolded reflective learning on student teachers' design performance and reflective thinking

Solving design problems requires designers to engage in a continuous process of reflection, gradually clarifying the problem and seeking the optimal solution. Promoting student to reflect on their design solutions through well-designed reflective learning activities and scaffolding is a key approach to improving design performance. However, few empirical studies have explored the design of iterative reflective learning activities for design tasks and their impact on design performance and reflective thinking. Therefore, this study presented a scaffolded reflective thinking model based on previous research and implemented a three-stage reflective learning activity with different scaffolds at each stage to help student teachers solve an instructional design task. Thirty-three student teachers participated in the study. A mixed methods approach of content analysis, statistical analysis, and epistemic network analysis was used to analyze their instructional design artifacts and reflective journals to investigate student teachers' design performance and development of reflective thinking. The results showed significant improvements in the quality, fluency, originality, and elaboration of student teachers' instructional design artifacts. Their reflections focused mainly on task-related content and problems in the design artifacts. The progression of their reflective thinking from descriptive to dialogic reflection was evident, with more in-depth reflection on problems, content, and potential solutions observed in the later stages. In addition, this study revealed a positive correlation between student teachers’ reflective thinking and design performance and identified the three key roles of scaffolding in enhancing reflection and design performance. These findings highlight the importance of iterative reflective practice and scaffolding in solving design tasks and provide valuable educational implications for improving design performance.

Artefact design and societal worldview.

Technological artefacts are created in accordance with the values and worldviews of their designers. In operation, they act as a medium, facilitating and constraining human interaction with, and perception of, the world. When used on a large scale, they may lastingly affect societal ethos. If institutional structures of domination allocate the resources necessary for artefact design and development to some population groups over others, the direction and extent of such an effect may lead to increased disparity and inequity. While the direct influence of technology on opinion is well-studied, the evaluation of non-epistemic values, assumptions and presuppositions is a hurdle in the way of a deeper understanding of the large-scale effects of asymmetries in worldviews embodied by artefacts. Here, we show that artefacts have a strong potential to bias societal worldviews when they are distributed unevenly across the value spectrum. They can affect the clustering behaviour of agents with regard to worldview, both aiding and hindering intra- and inter-cluster diversity, depending on their distribution and frequency. Our findings underline the distributional sensitivity of worldview dynamics to institutional structures of domination. We highlight the importance of procedural interventions such as participatory design, which explicitly acknowledges existing asymmetries and redistributes power accordingly.This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.

Exploring Design-Based Research as a framework for addressing pedagogical problems faced by higher education

Design-Based Research presents a pragmatic approach to addressing both pedagogical problems and innovations within a rigorous framework that aims to build transferable practice. This panel discussion will explore four examples of implementing DBR in various higher education contexts and draw participants into a discussion of how they might apply DBR to address identified pedagogical problems or innovations in their own contexts. Why DBR? This panel discussion is a focal point for exploring how design-based research (DBR) in higher education in 2024, can address pedagogical problems brought about by the global pandemic and the explosion of generative artificial intelligence use in assessment and learning (For examples). In a period of continuous disruption in higher education, flexible and ethical research strategies that embrace unexpected influences in teaching and learning is paramount (Cochrane et al., 2023), leading to a new generation of educational researchers embracing DBR. Furthermore, practical examples demonstrating students as partners in curriculum design to inform ‘what works’ in practice are essential for researchers to gain confidence in adopting research-teaching-practice methods of inquiry (Bakker, 2018; Cochrane & Munn, 2020). Understanding how the processes and outputs of DBR can meet these needs is crucial to alleviating both business and educational tensions about timing, funding, resources, and workload planning (Cochrane, 2022; McKenney & Reeves, 2019; Reeves & Lin, 2020). At the core of DBR is the opportunity to explore pedagogical problems or innovation through four phases: problem analysis, develop solutions to the identified problem, explore and evaluate the impact of the design in iterative interventions in real learning situations, leading to the development of transferable design principles and theory building (McKenney & Reeves, 2019) Various research methods can be applied to progressively ask participant perspectives, including students, teachers and learning designers, on appropriate approaches or technologies to solve an identified problem (McKenney & Reeves, 2019). The intended outcome of this panel discussion is to collaborate with participants in implementing DBR in higher education in response to specific pedagogical problems identified by the participants. Beginning with a brief background to DBR followed by four examples to stimulate discussion on its application in broader contexts to address identified problems in curriculum design. Relevance to Higher Education The relevance of debating the role of design-based research in higher education in 2024 is to stimulate discussion for how this pragmatic research approach informs ‘what works’ in situated learning contexts to develop cutting edge design principles and theory that can be transferrable (Galvin & Cochrane, 2023). The methodological framework of DBR invites students, teachers, and learning designers to collaborate from the conception of a design artefact or educational approach to solve a learning problem through to iterative stages of delivery. Following a new normal in higher education where change is inevitable, and fast-paced, research design that does not shy away from the progressive and ‘messy’ elements of educational settings to improve real time learning is essential. Finding a balance between naturalistic and interventionist research methods to explore this complexity is a way forward that DBR can provide. It is acknowledged that greater understanding for the value of DBR and how to plan practical stages with multiple participants is needed for teachers, researchers, and leaders in higher education to confidently adopt this approach (Haagen-Schützenhöfer et al., 2024). Opening discussion with peers models the collaborative ethos of DBR and opens potential connections and networking avenues to establish and generate knowledge for DBR in higher education. The Panel Members The panel will be comprised of project leaders from four DBR projects: Clinical reasoning development, interdisciplinary engineering education, biomechanics, performance anxiety. These projects were introduced in a concise paper for the ASCILITE 2023 conference (Cochrane et al., 2023) and the authors are in the process of collaborating on a full journal article analysing these DBR projects (Cochrane et al., 2024) that should be published in time for the ASCILITE 2024 conference.

Exploring the design of physical artefacts to visualise household consumption for encouraging sustainable practices

ABSTRACT Although household consumption contributes to climate change, it can be challenging to comprehend the consequences and effects from a personal perspective. In this paper, we explore the design of physical data visualisations to promote sustainable practices within households. We conducted 15 household design workshops involving household members to explore physical designs and envision the potential use of physical artefacts in the home to promote sustainability behaviours using five low to medium-fidelity prototypes. The findings from these workshops highlight the need to balance aesthetics, abstraction, and the presentation of actionable information in the design of physical artefacts. Based on our findings, we identify key design considerations for future design: (1) including all household members in the design process to reflect the collective goals and values of the home, fostering a sense of ownership and engagement, (2) considering child-friendly design in physical artefacts to promote awareness, education, engagement, and sustainable values in children, (3) and considering nature-based visuals to reduce the mental burden of information overload.

Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders

The responsible AI (RAI) community has introduced numerous processes and artifacts---such as Model Cards, Transparency Notes, and Data Cards---to facilitate transparency and support the governance of AI systems. While originally designed to scaffold and document AI development processes in technology companies, these artifacts are becoming central components of regulatory compliance under recent regulations such as the EU AI Act. Much of the existing literature has focussed primarily on the design of new RAI artifacts, or an examination of their use by practitioners within technology companies. However, as RAI artifacts begin to play key roles in enabling external oversight, it becomes critical to understand how stakeholders---particularly stakeholders situated outside of technology companies who govern and audit industry AI deployments---perceive the efficacy of RAI artifacts. In this study, we conduct semi-structured interviews and design activities with 19 government, legal, and civil society stakeholders who inform policy and advocacy around responsible AI efforts. While participants believe that RAI artifacts are a valuable contribution to the RAI ecosystem, many have concerns around their potential unintended and longer-term impacts on actors outside of technology companies (e.g., downstream end-users, policymakers, civil society stakeholders). We organized these beliefs into four barriers that help explain how RAI artifacts may (inadvertently) reconfigure power relations across civil society, government, and industry, impeding civil society and legal stakeholders' ability to protect downstream end-users from potential AI harms. Participants envision how structural changes, along with changes in how RAI artifacts are designed, used, and governed, could help re-direct the role and impacts of artifacts in the RAI ecosystem. Drawing on these findings, we discuss research and policy implications for RAI artifacts.

PACMHCI V8, CHI PLAY, October 2024 Editorial

We are excited to present PACM HCI's 2024 issue on games and play research, which contains 63 original and highly relevant articles covering the entire spectrum of HCI games research. As in the previous year, we used three recommendations ' 'Accept with Minor Revisions', 'Revise and Resubmit', and 'Reject.' For papers that were accepted with minor revisions, the second round of reviews was a 'light-touch' process in which the editorial board members checked the revisions, whereas papers that received Revise and Resubmit received another full round of external reviews with the same reviewers in most cases, and were also subjected to a final selection process. This second revision was treated as a real resubmission, which meant that it was given full consideration, but no guarantee or preferential treatment towards acceptance; a share of the revised papers was ultimately rejected. We would like to acknowledge the efforts that our community has made in adapting to this new process, working together with the submitting authors to achieve high-quality scholarship. The track editorial board consisted of 32 members and a total of 230 external reviewers from around the world ensured a high-quality review process. After the first round of submissions, each paper was handled by a primary track editorial board member who received reviews from a second track editorial board member and two external reviewers so that each submission received at least three high-quality reviews. After reviews were completed and checked for quality, the primary initiated discussion amongst the reviewers and came up with a preliminary recommendation (accept, between accept and revise and resubmit, revise and resubmit, between revise and resubmit and reject, reject). Papers that were in the middle three categories were then discussed in two synchronous virtual track editorial board meetings that took place over two consecutive days. The inclusion of the board meeting at this stage was a new addition to the review process last year. We included it to better calibrate decision making across the committee at this critical point in the review process, ensure consistency in outcomes, promote reflection and consideration at this stage in the process, and mentor newer editorial board members in the review process. We strove for a diverse program approaching games research from a variety of perspectives, including design, engineering, psychology, computer and data science while at the same time only accepting high-quality pieces of work. In this issue, we observe the following distribution of primary contributions: 42.9% of papers self-classify as using qualitative methods, 11.1% use quantitative methods, and 20.6% use mixed methods. Additionally, 3.2% of papers present design artifacts and 6.3% present technical artifacts. Finally, 4.8% of papers employ meta-research methods, 6.3% of papers present a new methodological approach, and 4.8% of papers contribute to the development and validation of theory. All articles in this issue were invited to present at the ACM CHI PLAY 2024 conference. We thank our dedicated team of track editorial board members, external reviewers, and paper authors, who continue to support the new review process and timeline, contributing to the maturation and growth of the PACM HCI games and play research community, and resulting in this issue of 63 exciting and highly relevant articles. This issue's 63 papers reflect the importance of play in our everyday lives, comment on recent trends and technical developments relevant to games and play, and also represent a significant effort of our community in coming together to produce a collection of research that highlights the multifaceted value of play.

Computer vision in situ

Background: This article shows a visually impaired person (VIP) trying to locate products while shopping using the commercially available computer vision device Orcam. Method: Based on ethnomethodological conversation analysis and perspectives on materiality and agency from a post-praxiological position, the study shows, through detailed analysis of transcribed video excerpts, the observable sense-making practices related to this technology. Results: The study shows the VIP and researcher-participants exploring what the device can and cannot do, and how the local body–object–environment relations need to be organized to make the device scan. The study shows the value of applying a post-praxiological approach to understanding socio-material practices. It also introduces the ‘video-based contextual inquiry’ method as a form of researcher engagement in producing the situation and the data collection. Discussion/conclusion: The article provides two novel contributions: (1) to the field of ethnomethodology and conversation analysis research, with a critical reflection on semi-experimental data collection and the role of the researcher, the materials, and the distribution of agency; and (2) to the field of impairment and disability studies, with insights on locally organized body–object–environment relations and the design of artifacts for computer vision recognition technology.

Timely, Granular, and Actionable: Designing a Social Listening Platform for Public Health 3.0

Every day, patients access and generate online health content through a variety of channels, creating an ever-expanding sea of digital data. At the same time, proponents of public health have recently called for timely, granular, and actionable data to address a range of public health issues, stressing the need for social listening platforms that can identify and compile this valuable data. Yet previous attempts at social listening in healthcare have yielded mixed results, largely because they have failed to incorporate sufficient context to understand the communications they seek to analyze. Guided by activity theory to design HealthSense, we propose a platform for efficiently sensing and gathering data across the web for real-time analysis to support public health outcomes. HealthSense couples theory-guided content analysis and graph propagation with graph neural networks (GNNs) to assess the relevance and credibility of information, as well as intelligently navigate the complex online channel landscape, leading to significant improvements over existing social listening tools. We demonstrate the value of our artifact in gathering information to support two exemplar public health tasks: (1) performing postmarket drug surveillance for adverse reactions and (2) addressing the opioid crisis by monitoring for potent synthetic opioids released into communities. Our results across data, user, and event experiments show that effective design artifacts can enable better outcomes across both automated and human decision-making contexts, making social listening for public health possible, practical, and valuable. Through our design process, we extend activity theory to address the complexities of modern online communication platforms, where information resides not only in the collection of individual communication activities but also in the complex network of interactions among them.

Smart Spare Parts (SSP) in the Context of Industry 4.0: A Systematic Review.

The implementation of Industry 4.0 has integrated manufacturing, electronics, and engineering materials, leading to the creation of smart parts (SPs) that provide information on production system conditions. However, SP development faces challenges due to limitations in manufacturing processes and integrating electronic components. This systematic review synthesizes scientific articles on SP fabrication using additive manufacturing (AM), identifying the advantages and disadvantages of AM techniques in SP production and distinguishing between SPs and smart spare parts (SSPs). The methodology involves establishing a reference framework, formulating SP-related questions, and applying inclusion criteria and keywords, initially resulting in 1603 articles. After applying exclusion criteria, 70 articles remained. The results show that while SP development is advancing, widespread application of AM-manufactured SP is recent. SPs can anticipate production system failures, minimize design artifacts, and reduce manufacturing costs. Furthermore, the review highlights that SSPs, a subcategory of SPs, primarily differs by replacing conventional critical parts in the industry, offering enhanced functionality and reliability in industrial applications. The study concludes that continued research and development in this field is essential for further advancements and broader adoption of these technologies.

Review of surface metrology artifacts for additive manufacturing

Test artifacts, resembling real machine parts, allow quantitative evaluation of system performance and insight into individual errors, aiding in improvement and standardization in additive manufacturing. The article provides a comprehensive overview of existing test artifacts, categorized based on geometric features and material used. Various measurement techniques such as stylus profilometry and computed tomography are employed to assess these artifacts. It was shown that Selective Laser Melting (SLM) technology and titanium alloys are prevalent in artifact creation. Specific artifact categories include slits, angular aspects, length parameters, variable surfaces, and others, each accompanied by examples from research literature, highlighting diverse artifact designs and their intended applications. The paper critically discusses the main problems with existing geometries. It paper underscores the importance of user-friendly and unambiguous artifacts for dimensional control, particularly in surface metrology. It anticipates the continued growth of metrological verification in future manufacturing environments, emphasizing the need for precise and reliable measurement results to support decision-making in production conditions

How Integrating Quilt-Making with Computation Supported Black Teens in Reimagining Liberatory Futures with Emerging Technologies

In light of calls for more arts integration in STEM and computing education, an initiative called restorying through design offers Black girls a context for both integrating African American quiltmaking practices with computation and interrogating and reimagining oppressive narratives about emerging technologies. Using grounded theory, Black feminism, and womanism as lenses, I analyzed the design artifacts and reflections of three Black girl participants from a workshop I developed and implemented in 2021 where fourteen nondominant youth used electronic textiles to design interactive quilt patches to restory dominant narratives about computing technology. In the findings, I discuss how participants’ quilt patches reimagined technology futures that valued wellness and inclusion. Lastly, I consider the possibilities for self-definition, empowerment, and belonging among Black girls restorying through design together in community, ending with potential sociopolitical and ethical considerations when designing learning environments that engage Black girls and other nondominant youth in restorying through design. 

The use of artificial intelligence as a strategy for natural mimicry in design artifacts

The use of artificial intelligence as a strategy for natural mimicry in design artifacts

Decision support for strategic microgrid design integrating governance, business, intelligence, communication, and physical perspectives

Microgrids are custom-designed, but their extensive design options hinder their dissemination. Consequently, microgrid-interested parties need strategic support to identify suitable design options for their use case. This paper develops a decision support artifact in the form of a decision tree for recommending the most suitable microgrid design for a project. A multi-step design science-oriented process was used. First, a morphological analysis of academic literature was conducted to deduce all possible microgrid design options and visualize them in a morphological box. Once done, 62 real-world microgrids of diverse types and locations were classified according to the morphological box. The produced dataset was used to derive five microgrid design archetypes algorithmically using cluster analysis. The dataset and their associated archetypes were then fed into a rule-mining algorithm to generate a decision tree that recommends the appropriate microgrid archetype based on up to four questions about, for instance, the microgrid's objective and the connectivity to the main grid. Furthermore, design principles for each microgrid archetype recommendation were formulated. The developed design artifact serves as applicable knowledge and a benchmark framework for researchers, as well as a comprehensive and simultaneously simplified decision-making framework for practitioners.

The dialectics of digitalisation: A critique of the modernistic imperative for the development of digital technology

This text discusses today’s digital transformation through the lens of Horkheimer and Adornos’ study of the enlightenment. Policy and public discourse around digitalisation embrace and adhere to the narrow tenets enlightenment thinking; the idea that rationality, individual freedom, and a society free from superstition are necessary and attainable goals. The costs of what has come to be called ‘Modernity’ are many. Through the application of rationality to all spheres of life, married with disruptive technological advancement, humanity has diminished its’ imagination – its ability to seek new directions. To paraphrase Horkheimer and Adorno, Modernism fights against nature, of which we are a part, and thus, paradoxically, sets us in a fight against ourselves. Environmental degradation, the price of progress, being just one example of this – deadening work, consumerism and severed social connections being amongst others. In this framing, digitalisation itself comes to be understood itself as akin to a force of nature – one that we can do little about, other than adjust and adapt or be swept away. But this by no means a foregone conclusion, there is light at the end of the optical fibre. Albeit that recent technical developments around artificial intelligence appears to be pushing policy makers into hasty decisions, the pace of the technical development is not as fast as we believe, and in comparison with the Reformation – we have time. If we can restrain ourselves from the resist, adapt or die responses promoted in popular discourse in face of the shock of large language models and rising threat of automation, then we create room to consider economic, social, and ecological alignment and accord, in the decision making and design of future interactive artefacts and digital services. The article argues that through postdigital aesthetics, technology makers can embrace materiality and the inherent qualities of digital technology to formulate a critique of existing trajectories in digital transformation, with consequences for a more sustainable future.

Configuration Management of Sets of Links in a Federated Tool Environment

AbstractIn the era of document‐centric systems engineering, large organizations developing complex systems had practical methods of associating drawings, specifications, requirements and other information with each other. Mostly these evolved methods involved part numbers and drawing numbers, although sometimes the methods included mundane techniques such as storing drawings in specific drawers in specific filing cabinets. These manual methods were very labor intensive, did not handle changes gracefully, and were somewhat error prone. As computer software and modeling tools began to displace paper drawings and filing cabinets, a “connect and forget” style of linking evolved. We can see this sort of thinking in the relationships in UML and SysML, but also in other places such as the use of Universally unique identifiers (UUIDs) in the XMI file format underlying UML/SysML, the relationships in DOORS and related requirements tools, as well as the original architecture of OSLC which depended on URIs embedded in design artifacts to establish relationships. While these “click to connect” features provided increased convenience compared to the previous manual numbering approaches, these “hard‐coded” links have introduced a new set of problems. The root of most of the new problems comes in the difficulty of managing this sort of extremely large set of direct links as configuration items in their own right. In a larger system, this sort of link set quickly grows to thousands or even millions of links. Managing change, modularity, variants, subsystem reuse, and so on all become very difficult in the presence of such a large, unplanned, and uncontrolled link set. In this paper, we will review the different approaches to creating and managing such sets of links and provide a concise best practices recommendation for the configuration management of such sets of links.

Artificial intelligence for neuro MRI acquisition: a review.

To review recent advances of artificial intelligence (AI) in enhancing the efficiency and throughput of the MRI acquisition workflow in neuroimaging, including planning, sequence design, and correction of acquisition artifacts. A comprehensive analysis was conducted on recent AI-based methods in neuro MRI acquisition. The study focused on key technological advances, their impact on clinical practice, and potential risks associated with these methods. The findings indicate that AI-based algorithms have a substantial positive impact on the MRI acquisition process, improving both efficiency and throughput. Specific algorithms were identified as particularly effective in optimizing acquisition steps, with reported improvements in workflow efficiency. The review highlights the transformative potential of AI in neuro MRI acquisition, emphasizing the technological advances and clinical benefits. However, it also discusses potential risks and challenges, suggesting areas for future research to mitigate these concerns and further enhance AI integration in MRI acquisition.

Advancing Customer Feedback Systems with Blockchain

AbstractOrganizations have to adjust to changes in the ecosystem, and customer feedback systems (CFS) provide important information to adapt products and services to changing customer preferences. However, current systems are limited to single-dimensional rating scales and are subject to self-selection biases. The work contributes design principles for CFS and implements a CFS that advances current systems by means of contextualized feedback according to specific organizational objectives. The authors apply Design Science Research (DSR) methodology and report on a longitudinal DSR journey considering multiple stakeholder values by utilizing value-sensitive design methods. They conducted expert interviews, design workshops, demonstrations, and a four-day experiment in an organizational setup, involving 132 customers of a major Swiss library. In the process, the identified design principles and the implemented software artifact were validated qualitatively and quantitatively, leading to conclusions for their efficient instantiation. The authors found that i) blockchain technology can afford four design principles of effective CFS. Also, ii) combining DSR with value-sensitive design methods explicitly provides rationale for design principles in the form of identified important values. Moreover, iii) combining DSR with value-sensitive design methods makes the construction of software artifacts more efficient it terms of design time by restricting the design space of a software artifact to those options that align with stakeholder values. The findings of this work thus extend the knowledge about the design of CFS and offer both researchers a theoretical contribution to reasoning about design principles and managers and decision makers a guide for the efficient design of software artifacts.

Incorporating ecological economics into engineering education

Engineering students require an education which facilitates the development not just of functional design of technological artefacts and processes, but they also need to be equipped to understand and engage with their wider implications and context. Consequently, as part of the formation of sustainability informed engineers, there is a clear necessity to integrate the socio-economic aspects of sustainability in order to posit technology in appropriate contextualised settings. The chemical engineering degree programme at University College Cork incorporates a strong emphasis on integrating the socio-economic dimension of sustainability within the programme. This paper focuses on ecological economics, and how it can connect with engineering and why it is important that engineering students receive a grounding in ecological economics. It outlines the content of a five-lecture series on ecological economics given to fifth-year chemical engineering students. This includes environmental aspects, such ecological limits analysis and the use of strategies, including economic, to move unsustainable natural resource use and emissions discharges to within their ecological limits. It explores social aspects and the critical barriers to transitioning to a sustainable economy, as well as the impact of ecological economics on engineering. Finally, three consecutive final year classes were surveyed to elicit their feedback on being taught ecological economics and to test the hypothesis that the inclusion of ecological economics appreciably enhances students’ ability to engage productively with sustainability and the UN Sustainable Development Goals (SDGs); a key accreditation and professional requirement for contemporary engineering graduates. Overall, most students enjoyed the material, stating that is of value to engineering students, and they provided a useful qualitative assessment of the content.

Ministry of Mundane Mysteries

The Ministry of Mundane Mysteries is a telephone-based improvised immersive experience produced by Outside the March that ran for three years during the COVID-19 pandemic. It featured over 1,100 private performances between a single performer and a household (ranging from one person to a whole house party!), connected solely over the phone. This mostly audio-based project produced little photo documentation. Instead, find in this folio the design artifacts from the project’s many iterations, from our Theatre for Young Audiences version to the French-language version to our partnership with SOUND OFF Festival; this includes logos, pre- and post-“investigation” design, and more.

Pathways for Design Research on Artificial Intelligence

An expanding body of information systems research is adopting a design perspective on artificial intelligence (AI), wherein researchers prescribe solutions to problems using AI approaches rather than describing or explaining AI-related phenomena being studied. In this editorial, we address some of the challenges faced in publishing design research related to AI and articulate viable pathways for publishing such work. More specifically, we highlight six major impediments, use the explosion in the state of the art for large language models to underscore these impediments, propose some pathways for overcoming the impediments, and use several example articles to illustrate how the pathways can be followed for different types of AI-related design artifacts. History: Senior Editor; Associate Editor. Funding: A. Abbasi was funded by the National Science Foundation (NSF) [Grants 2240347 and IIS-2039915] and a Kemper Faculty Award. J. Parsons was funded by the Natural Sciences and Engineering Council of Canada (NSERC) [Grant RGPIN-2020-04916].