Lab Approach Research Articles

Unlocking the power of socially assistive robotic nurses in hospitals through innovative living lab methodology.

Objectives: Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response to workforce shortages and rising care demands due to an aging population. This project aims to optimize resources, reduce errors, and improve patient satisfaction through personalized care. Methods: The Living Lab approach was implemented to split the study into sprints. The first split involves working with project partners and stakeholders to define the problem, brainstorm functionalities, and identify limitations (24 participants). The second split focuses on further requirement gathering, exploring real-world use cases, and considering ethical and privacy concerns (51 participants). Results: The project used iterative development cycles (5-8 months) to continuously improve the solution. Surveys revealed high satisfaction rates, with average scores of 4.0 and 3.6 for Sprints 1 and 2, respectively. Similarly, a team morale survey indicated a positive trend, with average scores of 7.6 and 8.18 for Sprints 1 and 2, respectively. Conclusion: Pilot 5 offers a promising solution to the evolving needs of modern hospitals. This study explores the integration of a social robotic system into nursing care to enhance quality and emphasizes stakeholder engagement, participatory design, and user-centered approaches in AI healthcare solutions.

Trends in the research of sustainable tourism living labs: a bibliometric analysis

The primary goal of the study is to examine trends in the research of applying the living lab (LL) approach in the studies relating to sustainable tourism development. In this paper, 796 scientific papers published between 2001 and 2022 were chosen from the Les.org aggregative database and analyzed using bibliographic parameters. For data analysis, the tools of Lens.org, VOSviewer, and Harzing’s Publish or Perish software have been used. We sorted out the data by authors, journals, authors' institutions, countries, and cited ranks. We also looked at the network of keywords and terms from abstracts and structured them into groups to find out how research is organized in this field. LLs as methodology for co-creation user-centered open innovations in the real environment demonstrated a positive impact for sustainable development. Although still not widely utilized its potential in tourism sustainable development.

STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer

Introduction: Microbes are intimately involved in the physiological and pathological processes of numerous diseases. There is a critical need for new drugs to combat microbe-induced diseases in clinical settings. Predicting potential microbe-drug associations is, therefore, essential for both disease treatment and novel drug discovery. However, it is costly and time-consuming to verify these relationships through traditional wet lab approaches. Methods: We proposed an efficient computational model, STNMDA, that integrated a StructureAware Transformer (SAT) with a Deep Neural Network (DNN) classifier to infer latent microbedrug associations. The STNMDA began with a “random walk with a restart” approach to construct a heterogeneous network using Gaussian kernel similarity and functional similarity measures for microorganisms and drugs. This heterogeneous network was then fed into the SAT to extract attribute features and graph structures for each drug and microbe node. Finally, the DNN classifier calculated the probability of associations between microbes and drugs. Results: Extensive experimental results showed that STNMDA surpassed existing state-of-the-art models in performance on the MDAD and aBiofilm databases. In addition, the feasibility of STNMDA in confirming associations between microbes and drugs was demonstrated through case validations. Conclusion: Hence, STNMDA showed promise as a valuable tool for future prediction of microbedrug associations.

There and back again: Discovering antiviral and antiphage defenses using deep homology

Two recent studies in Cell Host & Microbe (Cury etal. and van den Berg etal.) uncover cross-kingdom links between antiphage and antiviral immune defenses. Through reciprocal computational and wet lab approaches, they each discover and experimentally validate proteins used for host immunity.

Designing trustful and empowering human-robot interactions using a living lab approach

Designing trustful and empowering human-robot interactions using a living lab approach

From the classroom to the Living Lab for developing competencies in tourism higher education

Acknowledging the limitations of traditional pedagogy on conventional competencies, this study aims to explore the effectiveness of the Living Lab approach in enhancing students' competencies and propose a Living Lab model in tourism higher education. For this purpose, the data were collected from university students of tourism and hotel management who took a tourism Living Lab class in South Korea in 2019, 2021, 2022, and 2023. Adapting Sker and Floričić’s three stages of the Living Lab procedure, this study analyzed the data using feedback from observations, field notes, open-ended questionnaires, and reflective journals that enabled qualitative content analysis. The results of this research manifest four themes: competency in professional development, collaboration and networking, learning agility and adaptability, and emotional connections. Based on these, this study proposes a Living Lab model of tourism higher education and suggests practical implications for higher education institutions.

A comprehensive analysis of digital health-focused Living Labs: innovative approaches to dementia.

The increasing prevalence of dementia demands innovative solutions; however, existing technological products often lack tailored support for individuals living with this condition. The Living Lab approach, as a collaborative innovation method, holds promise in addressing this issue by actively involving end-users in the design and development of solutions adapted to their needs. Despite this potential, the approach still faces challenges due to its lack of recognition as a research methodology and its absence of tailored guidelines, particularly in dementia care, prompting inquiries into its effectiveness. This narrative review aims to fill this gap by identifying and analysing digital health Living Labs focusing on dementia solutions. Additionally, it proposes guidelines for enhancing their operations, ensuring sustainability, scalability, and greater impact on dementia care. Fifteen Living Labs were identified and analyzed. Based on trends, best practices, and literature, the guidelines emphasize user engagement, interdisciplinary collaboration, technological infrastructure, regulatory compliance, transparent innovation processes, impact measurement, sustainability, scalability, dissemination, and financial management. Implementing these guidelines can enhance the effectiveness and long-term impact of Living Labs in dementia care, fostering new collaborations globally.

Prediction of residential building occupancy using Machine learning with integrated sensor and survey Data: Insights from a living lab in Morocco

Building occupancy information is essential for effective energy management in buildings through the adoption of energy conservation and occupant-centric control strategies. These strategies endeavor to contribute to optimizing energy consumption while ensuring occupant comfort. This study focuses on advanced occupancy modeling techniques to enhance energy efficiency in residential buildings, utilizing various data-driven techniques. Various Machine Learning models, such as Random Forest, Bayesian Network, Decision Trees, Support Vector Machines, K-Nearest Neighbors, eXtreme Gradient Boosting, and Regularized Greedy Forest, have been evaluated for predicting and classifying building occupancy. Employing a living lab approach within a residential setting, the research evaluates model performance using two ground truth datasets: IoT sensor and survey data. Experimental tests use Accuracy and F1_score as evaluation criteria, demonstrating accuracy rates ranging from 70% to 95.96%. The results highlight the performance of these models in predicting residential occupancy, offering valuable insight into two approaches to occupancy modeling. The Random Forest model performs exceptionally well in capturing occupancy trends, while the Bayesian Network model, combined with expert knowledge, provides detailed predictions of occupancy types and zones. The research also addresses challenges related to data collection, including privacy concerns. It presents effective occupancy modeling strategies for residential energy management.

Can environmental DNA be used within pest insect agricultural biosecurity? Detecting khapra beetle within stored rice

AbstractEnvironmental DNA (eDNA) has recently emerged as an effective tool for invasive species biosecurity. We explored the use of eDNA for the detection of khapra beetle (Trogoderma granarium, Everts 1898), an invasive insect of cereal grains and other food products that has a high global economic impact. We developed a novel method for aggregating khapra beetle eDNA deposited in stored grain that entails washing a sample of rice, filtering the sample, and detecting trace beetle DNA using a standard qPCR workflow. To explore the performance of this method, we raised 500 khapra beetle larvae within 500 g of rice over a 14‐day period and then removed them. We then used this “spiked” rice to create a range of simulated densities of khapra beetle larvae. This lab approach mimics conditions that are comparable to field densities of ~1.4 to 180 beetles per 50 kg of rice (1/8 to 16 spiked rice grains per 100 g sample of clean rice), assuming DNA is uniformly distributed within the rice. We detected khapra beetle eDNA from all density levels tested. Logistic models revealed that eDNA amounts equivalent to what is left by ~1 khapra beetle larva in a 50 kg container of rice can be detected with 85% to >97% certainty, depending on the number of qPCR technical replicates run per sample. Based on this model, we estimated that for one 50 kg container of rice where beetle DNA is uniformly distributed, a single sample of 100 g with six technical replicates would be sufficient to be >99% certain that the container was free of khapra beetle eDNA (95% credible intervals: 97.7%–100%). Our results suggest that eDNA surveys may be useful as a cost‐effective, first‐step detection of khapra beetle in stored grain and provide a means to map the relative magnitude of khapra beetle transport pathways, informing allocation of conventional biosecurity inspection efforts.

Facilitating Access to Mental Health Services: A Stakeholder-Driven Improvement of the Children and Young People (CYP) as One Referral Platform.

(1) Background: Pre-pandemic, child and adolescent mental health service (CAMHS) referrals were paper based in Liverpool and Sefton (England, United Kingdom), causing delays in waiting times. The "CYP as One" online mental health referral platform was co-created to overcome these challenges. (2) Methods: This study aims to improve "CYP as One" accessibility and usability and, subsequently, support CAMHS to improve waiting times. The current study utilised the Living Lab approach. We conducted content analysis on completed online referrals extracted from the "CYP as One" platform. These findings were supplemented by seven online focus groups, with 16-19-year-old young people, parents of children under 16, and health service providers. Thematic analysis was conducted on all data. (3) Results: The thematic analysis returned seven themes, namely (i) "CYP as One" vs. Traditional Referrals, (ii) Gender and Language Dynamics, (iii) Digital Empathy in Action, (iv) the Influence of the Provider Perspective, (v) Age and Social Sensitivity, (vi) Enhancing Access to Information, and (vii) Boosting Admin and Clinical Efficiency. (4) Conclusions: Digital content that seeks to replace in-person referrals can provide adequate support to children and young people who have faced difficulties accessing mental health services.

Living labs as transformative incrementalism: lessons learned on the role of a university living lab in mobilising just sustainabilities on campus

ABSTRACT The Living Lab approach is an opportunity for diverse actors to co-create solutions to solve real-world issues. Simon Fraser University, situated on the unceded territories of the Musqueam, Squamish, Tsleil-Waututh, Katzie, Kwikwetlem, Qayqayt, Kwantlen, Semiahmoo and Tsawwassen peoples in British Columbia, Canada developed a Living Lab program to apply the university’s leading climate research expertise to solve its own infrastructure, operations and service challenges. Projects were led by “Living Lab Scholars,” graduate students who form teams with faculty and staff to co-design research to help the university meet its sustainability and equity goals. The scholars took part in experiential learning, received mentorship and financial support and were provided with the opportunity to apply their academic research skills to address four sustainability issues: (1) waste management, (2) sustainable transportation, (3) carbon footprint of streaming, and (4) food security. While being grounded in participatory action research and integrating justice, decolonisation, equity, diversity and inclusivity considerations into the process design, the limited resources, time scarcity and operational reality reflected that the reality of implementing the solutions resulted in varying degrees of transformational impact. This paper applies autoethnography to enable the participants to reflect upon how the university as a system can support advances in just sustainabilities and highlights practical lessons learned for future Living Lab practitioners who aim to mobilise their solutions on campus. Findings from the project highlight the role of the Living Lab in supporting “transformative incrementalism” and challenging the conventions of academic knowledge production.

Everyday mobility and citizenship: a living lab approach

ABSTRACT In the context of a living lab that aimed to reduce everyday car use, citizens in a newly established semi-urban residential area in Sweden were asked to travel less by car, try mobility and accessibility services, and to reason about travelling and their own role in a future sustainable transport system. By analysing the participants’ written reports about mobility practices and mobility citizenship, collected through a living lab app, the paper explores links between everyday mobility and mobility citizenship. The analysis, which is based on theories on citizenship and mobility and social practice theory, shows that the participants’ reports provided context-specific knowledge regarding everyday mobility and citizenship. The participants expressed both knowledge about and engagement in their local environment. This opens new ways to understand, explore and make use of mobility citizenship, in research and in practice.

유아 놀이중심 교육과정을 반영한 기후·생태계 프로그램 효과성 연구

Objectives The purpose of this study is to investigate the effectiveness of a climate-ecosystem program reflect-ing an early childhood play-based curriculum on early childhood development (nature), environmental con-servation attitudes, ecological literacy, and early childhood playfulness. Methods The study participants are 5-year-old children from a kindergarten in Gyeonggi Province, with 13 in-dividuals in the experimental group and 15 individuals in the control group. SPSS 23.0 was used to determine the mean, standard deviation, and reliability coefficient of the study variables. The homogeneity test was conducted using the pre-test mean scores between groups, and the difference between the experimental and control groups was analyzed using the Mann-Whitney U test based on post-test mean scores. Pre-post differences between the experimental and comparison groups were analyzed using the Wilcoxon signed-rank test. Results The main research results are as follows: First, the simple difference between the pre-test and post-test mean scores of the study variables revealed improvement in the experimental group(from 0.13 to 1.02 points), while the comparison group showed both an increase(from 0.01 to 0.36 points) and a decrease(from -0.26 to -0.03 points). There was no statistically significant difference in pretest mean scores between the experimental and comparison groups, confirming homogeneity. The pre-post difference test of the experimental group showed statistically significant differences in early childhood development (nature) and environmental conservation atti-tudes and subscales (conservation attitude, recycling attitude, environmental pollution prevention attitude), eco-logical literacy and subscales (nature's rights, intention to support, resource protection, ecological sensitivity, eco-logical social environment, ecological development_reverse, nature governance_reverse, ecological crisis indif-ference), and early childhood playfulness and some subscales (physical spontaneity, social spontaneity, sense of humor). On the other hand, there were no statistically significant differences in the cognitive spontaneity and ex-pression of pleasure sub-domains of preschoolers' playfulness. The pre-post difference test for the comparison group found statistical significance only for ecological sensitivity, a sub-scale of ecological literacy, and physical spontaneity, a sub-scale of preschoolers' playfulness. Second, the factors that resulted in statistically significant differences in post-hoc mean scores between the experimental and comparison groups were environmental con-servation attitudes and their sub-scales, recycling attitudes, ecological literacy and its sub-scales, supportive in-tention, ecological sensitivity, nature dominance(reverse), and ecological crisis indifference. Conclusions The results of this study confirm the effectiveness of climate and ecosystem programs through play. As an extension of this study, we aim to propose collaborative activities with the local community through a living lab approach.

Coconstructing a Flexible At-Home Respite Model For and With Caregivers of Older Adults: A Living Lab Approach

At-home respite services seem too rigid to meet the needs of older adults and their caregivers. It is critical to develop service flexibility, as it allows for personalized care, adapted to health conditions, preferences, and evolving needs. While no prior studies used coconstruction methods to increase flexibility, this study could offer a better understanding of flexible respite for stakeholders. Using a living lab approach, this article aimed to (1) empirically determine the characteristics of this type of respite model and (2) document the levers and obstacles to consider for its implementation. Starting from a pre-existing flexible respite model named ANAAIS, the research team led workshops and interviews. First, the team carried out 2 workshops (TRIAGE and persona-scenario) with a total of 3 caregivers and 8 homecare professionals or managers. Second, a team member conducted interviews with 3 caregivers and 6 homecare professionals or managers. Content analysis was used on the data. The stakeholders coconstructed a Québec version of ANAAIS, a web application allowing caregivers to request an affordable respite, at the time wanted, and offered by a qualified care worker, through a simple application. Levers and barriers to its deployment are linked to the model’s characteristics as well as its internal and external context. For example, relations and connexions were perceived as a lever to deployment, while the lack of resources was considered an obstacle. This living lab project showed the feasibility and pragmatism of coconstructing a flexible and applicable respite service model.

Disrupting the craft canon: a Living Lab approach to measuring cultural value

To address structural omissions of the experiences of makers of colour from the cultural space of craft, Crafts Council initiated the project, Disrupting the craft canon: the cultural value of craft. Partnering with an interdisciplinary team of researchers from Glasgow Caledonian University London, the project was awarded a research grant in June 2022 as part of the first round of funding of the Centre for Cultural Value’s Collaborate programme. Collaborate supports innovative new partnerships between cultural sector practitioners and academics exploring under-explored questions around cultural value so as to deepen existing evidence or surface new evidence. Adopting a Living Lab approach, the team investigated the meanings and cultural value of craft and specifically the impacts of race, racism, immigration and migration on cultural production, making and value grounded in the reality of individuals’ and local communities’ lives. This Participatory Activist Research project helped develop and test research tools including vignettes and object-based stimuli in place-based craft making events with selected Black and Asian UK communities in London and Birmingham. Sinclair highlights the need for ‘research that identifies and recognises the value of the knowledge, experience and cultural heritage of makers of colour in professional, community or other crafts spaces’. This article reflects on the collaborative process, sharing the findings of our community-based research and thereby adding to our understanding of craft’s potential cultural value and the contributions craft can make to sustainable development.

Towards a defossilized building sector with field tests in the lab: Review, development, and evaluation

The transformation process in the building sector towards future city concepts requires changes in our society that aim for significant emission reduction until 2045. Currently, buildings in Germany are constructed and operated in such a way that no changes need to be made to them for decades. Therefore, any upcoming changes that do not achieve the climate goals must be avoided immediately. However, making the optimal decision for a change is complex due to (a) multi-domain (e.g., design and control), (b) multi-scale (e.g., single-family building and urban energy system), (c) multi-stakeholder (e.g., users and practice), and (d) long-term implications (up to decades). Conventional testing facilities and methods do not account for the integration of (a)-(d). Therefore, their technology readiness level is limited by 6. This paper introduces an approach that aims at (1) a multi-domain and multi-scale approach by applying process systems engineering to the building sector and that aims at (2) stakeholder integration already in the research process by applying the living lab approach. We combine the two methods, yielding a field test in the lab infrastructure pushing the technology readiness level to 7–8. In all, it consists of five test benches (Refrigerant Cycle Lab, FlexFass, RT-Lab, Raumklimalabor, and InFis). This work focuses on the Refrigerant Cycle Lab. Its concept is based on two further Hardware-in-the-Loop test benches which are extended by a safety system that ensures automated operation dedicated to heat pumps with flammable refrigerants. In two case studies, we show that field tests in the lab allow multi-domain and multi-scale testing. Both aspects support accelerating the transformation process towards a defossilized building sector. In the next step, the combination of test benches at different locations is promising to reduce the need to set up identical experiments at different locations. In the long term, the laboratory is designed to include external stakeholders to avoid time-consuming iterations and can, therefore, save resources, time, and money for our complex transformation process.

Co-creating solutions with social housing users: a Living lab case

ABSTRACT Social housing (SH) upgrade processes have the potential to reduce social costs, improve living conditions, and increase the satisfaction of dwellers. All stakeholders, especially end-users, should participate in such processes to identify needs and problems and evaluate proposals. The Living Lab (LL) approach is recommended to develop solutions in a real-life context, and collaboration among participants. Our study explores this to involve residents of SH in enhancing their neighbourhood, positively influencing their satisfaction with their living environment, and improving their quality of life. We pursued this objective by exploring participatory tools. We present co-creation activities to develop upgrade proposals for communal areas. From our analysis of these co-creation activities, important lessons are learned on resident engagement in social housing upgrade processes. Our contributions include a set of practical advice for conducting co-creation activities in Living Labs for social housing upgrades and a demonstration of how research organisations can utilise Living Labs to empower users in creating their social innovation projects.

Urban labs beyond Europe: the formation and contextualization of experimental climate governance in five Latin American cities

The urban lab is an experimental governance approach for the co-creation of innovative solutions to urban challenges, such as climate change. However, urban lab scholarship has overlooked lab formation as a distinct process and is almost exclusively based on European cases. Therefore, little is known about the role of context conditions for lab formation in general and beyond Europe in particular. To address these gaps, this paper inductively analyses urban lab formation in five cities in Argentina, Brazil and Mexico, develops a framework for the comparative analysis of lab formation challenges, and asks: What do the challenges encountered and the solutions developed during lab formation in these cities tell us about the context dependence of the urban lab approach and what are the implications for its potential beyond Europe? Comparing insights from Europe to the findings from Latin America, the paper answers these questions and identifies future research questions.

Exploring a geodesign approach for circular economy transition of cities and regions: Three European cases

Transitioning towards a circular built environment and turning waste into resources have become one of the new sustainability paradigms today. However, a circular transition can be considered a ‘wicked problem’. The multiple dimensions and scales of the circular transition and its substantial spatial implications fit well into the planning approach of Geodesign. The Horizon 2020 funded project “Resource Management in the periurban Areas - Going beyond Urban Metabolism (REPAiR)” implemented an innovative Geodesign approach. Moreover, it explored its capability to support spatial decision-making processes for the circular economy transition of the built environment within urban planning practices. This article aims to understand to what extent a process of Geodesign, which is conducted with the support of a digital tool and a Living Lab approach, can support the creation of localised circular economy strategies and foster the circular economy transition in cities and territories. The analysis explores and compares the results of three European cases -Amsterdam, Hamburg and Naples. It considers the kind of data input required to run the process in every phase, the stakeholders involved and their typology, the specific urban or territorial, planning and governance scales of analysis, and the final output definition after the Geodesign process implementation. The approach outputs constitute a decision support system for easing negotiations between local actors regarding the circularity strategies to implement. The findings reveal an intertwinement between different forms of knowledge included in the process, ranging from sustainability to governance and design, and the actors engaged in planning a circularity transition spatially. However, even using similar starting data, the local information and the starting conditions strongly influence the process and the types of strategies elaborated in each case.

Lessons from transdisciplinary urban research to promote sustainability transformation in real-world labs: Categories, pathways, and key principles for generating societal impact

Real-world labs aim to enhance societal impacts and advance sustainability transformations. Based on the empirical analysis of 48 urban research projects and six in-depth case studies, we present a systematization of these impacts and their connections, and provide key principles on how to design real-world lab projects to encourage sustainability transformations.Real-world labs and transdisciplinary urban research aim to initiate and support sustainability transformations. This paper explores the categories of societal impacts and their connections, as well as key principles to facilitate these impacts. The study is based on the empirical analysis of 48 projects by a series of surveys and interviews within an independent, accompanying research program. All projects were conducted under the heading of urban sustainability transformations and pursued a transdisciplinary real-world lab approach. Three categories of societal impacts were identified: 1. social and individual changes, 2. governance changes, and 3. changes in the physical environment. Six of the projects were selected as in-depth case studies, revealing three patterns of impact pathways. The case studies also explore the relationships between processes, results, and impacts leading to key principles for fostering societal impacts and thus, sustainability transformations. The findings enhance the understanding and the promotion of sustainability transformations in urban areas.