User Involvement Research Articles

Augmented Reality and Its Integration into Responsive Web Design

Augmented reality (AR) is quickly changing the way people interact with digital content by adding virtual features to real-world settings. This essay looks at how AR can be added to Responsive Web Design (RWD) to improve user involvement and interaction on a wide range of devices without any problems. Making systems that work well on screens of different sizes and orientations is what responsive web design is all about. This flexibility makes sure that watching and interacting are best on computers, tablets, and smartphones. Adding AR to RWD makes this flexibility even greater by adding engaging virtual material that changes based on the user's surroundings. Device support, network delay, and image speed are some of the biggest technical problems that come up when AR is used together. Using HTML5, CSS3 media queries, and JavaScript tools to make AR experiences that work well on all devices is one way to deal with these problems. By mixing AR features with RWD ideas, developers can make experiences that are engaging and can be accessed from any device without slowing them down or making them harder to use. In AR-enhanced RWD, user experience (UX) is all about making exchanges easy and quick. Spatial tracking for accurate virtual object placement, motion recognition for natural interaction, and device position detection for smooth merging with the real world are all things that designers have to think about when they're making something. These parts work together to make an interesting user journey that mixes digital and real-world experiences. Case studies show how AR can be used in real-world situations in fields like education, entertainment, and shopping. Virtual try-on experiences in e-commerce, engaging learning material on top of textbooks, and rich stories in digital media are all examples.

Reflections on using the story completion method in designing tangible user interfaces

There are many design techniques to support the co-design of tangible technologies. However, few of these design methods allow the involvement of users at scale and across diverse geographic locations. While popular in psychology, the story completion method (SCM) has only recently started to be adopted within the HCI community. We explore whether SCM can generate meaningful design insights from large, diverse study populations for the design of Tangible User Interfaces (TUIs). Based on the results of two questionnaire studies using SCM, we conclude that the method can be used to generate meaningful design insights. Drawing on a systematic review of 870 TUI papers, we then contextualise the strengths and weaknesses of SCM against commonly used design methods, before reflecting on our experience of using the method across two distinct domains. We discuss the advantages of the method (particularly in terms of the scale and diversity of participation) and the challenges (particularly around constructing meaningful story stems, and developing the correct level of scaffolding to support creativity). We conclude that SCM is particularly suitable to be used in the early stages of the design process to understand the socio-cultural context of deployment.

Success Factors for Usability Testing of Digital Health Solutions.

The design and development of patient-centered digital health solutions requires user involvement, for example through usability testing. Although there are guidelines for conducting usability tests, there is a lack of knowledge about the technical, human, and organizational factors that influence the success of the tests. To summarize the success factors of usability testing in the context of patient-centered digital health solutions. We considered three case studies and collected experiences related to time management, relevance of results and challenges encountered. Success factors relate to participant privacy and data protection, test environment setup, device and application readiness, user comfort and accessibility, test tools and procedures, and adaptability to user limitations. Small organizational and technical details can have a big impact on the outcome of a usability test. Considering the aspects mentioned in this paper will not only save resources but also the trust of the participating patients.

Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons.

Successful implementation of clinical decision support tools is rare, the key barrier being the lack of user involvement during development. Following the idea, development, exploration, assessment, long-term follow-up (IDEAL) framework, this study aims to provide early insights into the current challenges, clinical processes, and priorities when developing new decision support tools in cardiac surgery. Using a qualitative approach, semi-structured interviews were conducted with cardiac anesthetists and surgeons from three Scottish cardiac centers. Thematic analysis identified adverse postoperative outcomes, ageing cardiac patient population and changing surgical procedures to be the main challenges in cardiac surgery. Existing risk prediction tools were largely not used due to a perceived lack of utility and validation. This study underscores the need to shift focus towards predicting postoperative complications, instead of mortality. It emphasizes the importance of early collaboration with clinical experts and stakeholders in developing decision support systems that are fit for purpose. By identifying the priorities of cardiac clinicians, the study lays the groundwork for developing clinically meaningful prediction models.

Democratizing biomedical simulation through automated model discovery and a universal material subroutine

AbstractPersonalized computational simulations have emerged as a vital tool to understand the biomechanical factors of a disease, predict disease progression, and design personalized intervention. Material modeling is critical for realistic biomedical simulations, and poor model selection can have life-threatening consequences for the patient. However, selecting the best model requires a profound domain knowledge and is limited to a few highly specialized experts in the field. Here we explore the feasibility of eliminating user involvement and automate the process of material modeling in finite element analyses. We leverage recent developments in constitutive neural networks, machine learning, and artificial intelligence to discover the best constitutive model from thousands of possible combinations of a few functional building blocks. We integrate all discoverable models into the finite element workflow by creating a universal material subroutine that contains more than 60,000 models, made up of 16 individual terms. We prototype this workflow using biaxial extension tests from healthy human arteries as input and stress and stretch profiles across the human aortic arch as output. Our results suggest that constitutive neural networks can robustly discover various flavors of arterial models from data, feed these models directly into a finite element simulation, and predict stress and strain profiles that compare favorably to the classical Holzapfel model. Replacing dozens of individual material subroutines by a single universal material subroutine—populated directly via automated model discovery—will make finite element simulations more user-friendly, more robust, and less vulnerable to human error. Democratizing finite element simulation by automating model selection could induce a paradigm shift in physics-based modeling, broaden access to simulation technologies, and empower individuals with varying levels of expertise and diverse backgrounds to actively participate in scientific discovery and push the boundaries of biomedical simulation.

Arduino-Controlled Multi-Function Robot with Bluetooth and nRF24L01+ Communication

This paper outlines the design and development of an advanced robotic system that integrates hardware implementation with theoretical simulation to address the need for versatile and user-friendly robotic solutions in various environments. Addressing the issue of limited adaptability in existing robotic systems, we propose a wireless, voice and gesture-controlled robot car with an integrated robotic arm capable of performing complex tasks such as line following, obstacle avoidance, object manipulation, and autonomous navigation over one-kilometer range. To improve operational efficiency and user involvement, this paper designs a multifunctional robotic platform that integrates user-friendly control interfaces with inexpensive, state-of-the-art sensor technologies. To achieve this, we integrate a variety of sensors, including ultrasonic sensors for precise distance measurement, infrared sensors for object detection and line following, an L298 motor driver for controlling geared motors, servo motors for controlling robotic arms, a flex sensor for claw control, and an mpu6050 accelerometer for gesture recognition. The system also uses a custom-made Bluetooth app for remote control, nRF24L01+ for long-range wireless control, and Arduino Mega and Nano for processing and control functions. The results demonstrate the robot functions well in dynamic conditions, and it can be used in hospitals to assist healthcare professionals, in restaurants for food delivery, and in industrial settings for object manipulation. The system’s design proves robust in real-world scenarios, offering significant improvements in accessibility and operational efficiency. This study aligns with Sustainable Development Goals (SDGs) 3 (Good Health and Well-being), 9 (Industry, Innovation, and Infrastructure), and 17 (Partnerships for the Goals). The robotic arm's potential application in healthcare settings advances SDG 3, its contribution to industrial productivity advances SDG 9, and collaborations with tech companies to expand and improve the robot's capabilities promote SDG 17.

Collaborative online shopping: customer satisfaction and the influence of product type, gender and involvement

PurposeOnline shopping has recently been evolving more toward the subject area of collaborative online shopping (COS), and customer satisfaction is one of the key determinants for the success of COS. In this study, we investigate the effect of product type and gender and their interaction with customer satisfaction through user involvement in a collaborative online shopping context.Design/methodology/approachWe developed a lab experiment with a mixed two-by-two factorial design to test the proposed research model. We chose gender (male versus female) as the between-subjects factor and product type (utilitarian product versus hedonic product) as the within-subjects factor.FindingsThe obtained results indicate that collaborative shopping may require group members to be more involved for a hedonic product than a utilitarian product. When collaboratively shopping for utilitarian products, male groups tend to show a higher level of involvement than female groups. In contrast, female groups show a higher level of involvement than male groups when collaboratively shopping for hedonic products. Furthermore, our results indicate that greater involvement in COS may lead to higher satisfaction.Social implicationsWebsites that sell hedonic products should first adopt the design elements that support COS. Meanwhile, online sellers should be aware that the gender gap still exists as online shopping evolves toward social online shopping. In addition, COS websites should provide more design elements (e.g. co-browsing, avatar embodiment, video chat and voting tools) to stimulate user involvement.Originality/valueIn this paper, we employ the theory of consumption values, which decomposes COS value into the utilitarian and hedonic dimensions, as a theoretical foundation to investigate the effect of product type and gender together as well as their interactions in the COS context. The obtained findings may provide various insights and empirical evidence to improve the understanding of how to target male and female customers across different product types in the COS context.

Participatory design in telehealth research: Practical case examples.

Participatory design (PD) is a methodology that emphasizes user participation in the design of new technologies to leverage change within organizations and services. PD originated in the computer science field in the 1970s and 1980s when new programs and technologies were developed to empower workers, by involving them in decisions that affected them. PD in health research has been proven to change clinical practice. Genuine user involvement that includes all stakeholders, and robust collaborations across sciences, sectors, and disciplines are basic elements of successful research to change clinical practice and to implement novel technical and organizational approaches. This paper summarizes seven case studies involving the use of PD in telehealth research. All cases presented promoted organizational changes supported by health information and communications technology, and have been implemented at either international, national, regional, or local levels. We describe how PD can be applied in health sciences and used to facilitate organizational changes, new perspectives, and new communications methods. The relevance and suitability of PD as a research design in health science is explained, and recommendations for conducting PD studies in telehealth research are presented. In PD, mutual learning and co-creation is facilitated. Consequently, learning from users, rather than studying them, corroborates our understanding and the emergence of new knowledge.

Attention-driven visual emphasis for medical volumetric image visualization

AbstractDirect volume rendering (DVR) is a commonly utilized technique for three-dimensional visualization of volumetric medical images. A key goal of DVR is to enable users to visually emphasize regions of interest (ROIs) which may be occluded by other structures. Conventional methods for ROIs visual emphasis require extensive user involvement for the adjustment of rendering parameters to reduce the occlusion, dependent on the user’s viewing direction. Several works have been proposed to automatically preserve the view of the ROIs by eliminating the occluding structures of lower importance in a view-dependent manner. However, they require pre-segmentation labeling and manual importance assignment on the images. An alternative to ROIs segmentation is to use ‘saliency’ to identify important regions. This however lacks semantic information and thus leads to the inclusion of false positive regions. In this study, we propose an attention-driven visual emphasis method for volumetric medical image visualization. We developed a deep learning attention model, termed as focused-class attention map (F-CAM), trained with only image-wise labels for automated ROIs localization and importance estimation. Our F-CAM transfers the semantic information from the classification task for use in the localization of ROIs, with a focus on small ROIs that characterize medical images. Additionally, we propose an attention compositing module that integrates the generated attention map with transfer function within the DVR pipeline to automate the view-dependent visual emphasis of the ROIs. We demonstrate the superiority of our method compared to existing methods on a multi-modality PET-CT dataset and an MRI dataset.

The 2018 James Lind alliance adult social work priority setting partnership report: Its use and engagement

Summary The James Lind Alliance (JLA) is a nonprofit United Kingdom (UK) organization that builds a set of research priorities for any given topic through the systematic involvement of practitioners, service users, carers, and stakeholders. In 2021/2022, we reviewed the impact of the JLA priority setting partnership (PSP) on adult social work research (2018). Our research question was “How has social work research responded to and changed since the 2018 JLA priority setting report; and where do we need to focus now?” We searched for research which aligned with the published priorities. We then interviewed 23 social work researchers to learn if/how they had engaged with the JLA PSP and what might be needed for future PSP exercises and research. Findings We discuss our findings with reference to other reviews of JLA PSPs. We conclude that the JLA PSP for adult social work was uniquely suited to the field given the history of person-centered practices, and this may account for some of the positive reviews of the report. The JLA process and ethos were respected and the report potentially raised the profile of adult social work research, while highlighting unaddressed questions. Applications Though there are many JLA PSP reviews, this study is one of the few to consider impact, we propose a review process could be applied to PSP exercises more regularly.

APPTS (Accreditation Programme for Psychological Therapies Services) – A quality improvement programme for psychological therapies services, bringing benefits to service users, services and the wider system

Declaration of interests:All authors are current or former members of the APPTS Project BoardThe first author is the clinical lead for an NHS Talking Therapies service for Anxiety and Depression that is APPTS accredited and works for a Trust that has accredited all of its NHS Talking Therapies for Anxiety and Depression servicesThis paper describes an accreditation programme for psychological therapies services. It highlights the centrality of service user involvement to the programme’s design and delivery. Advantages for service users, staff, services and commissioners are outlined with feedback from different stakeholders included. Psychological therapies services need to be aware of this option to achieve accreditation from a body specifically tailored to evaluate such services. The programme is aligned to the Care Quality Commission’s five domains, utilising a supportive model of peer review, through which participating services are encouraged to share good practice and learn from one another. The process revolves around the APPTS standards, which have been developed collaboratively with key stakeholders, staff from member services, and representatives with lived experience, and provide the framework for what a high-quality psychological therapies service should look like.

Patient, public and practitioner partnership within imaging and radiotherapy: An exploration of the implementation and use of the college of radiographers guiding principles

IntroductionIn 2014 the National Health Service (NHS) in England released the Five Year Forward plan1, envisioning a shift in power from health professionals to patients and the public. In response the Society and College of Radiographers (SCoR) produced the “Patient, Public and Practitioner Partnership within Imaging and Radiotherapy: Guiding Principles” (P4) document which was implemented within four domains of radiography practice; service delivery, service development, education and research2. This project explored how these guidelines were implemented; and whether improvement to the quality and scope were needed, leading to making recommendations for updating the document. MethodsA mixed methods design was adopted with two phases. Phase 1 – a survey exploring use of the P4 document’s guiding principles. There was no maximum number of participants to ensure inclusivity. Phase 2 - one focus group and four one-to-one interviews from the four domains3. Results626 participants completed the phase 1 survey. 18.85% (n=118) of participants were aware of the document and used it as a reference tool for practice, teaching, and research. 81.15% (n=508) of participants stated they were unaware of the document. Themes from phase 2; importance of service user involvement in service delivery and evaluation, resources to ensure service user involvement, suggestions to update the P4 document and use of the P4 document in radiographer education.Participants acknowledged guidance in the document was best practice. They reported more awareness of patients’ needs and the effect this has on radiographers in supporting their needs. ConclusionParticipants recommended the document be given greater visibility. The voices of patients and the public must be heard within radiography practice. Implications for practiceFeedback from this study can be used for the future development of the P4 document.

Consumer Boycott: The Effect of Religiosity and Consumer Attitudes

One way for customers to express their distaste or dissatisfaction with a business or nation due to unethical actions is through a boycott. Despite the significant increase in consumer boycotts, marketing has paid little attention to consumer boycott involvement. The value-attitude-behavior model serves two purposes: firstly, it evaluates the effect of religiosity on consumer attitudes that lead to boycott involvement, examining this relationship from both a traditional viewpoint and the perspective of Fiqh Muamalat. Secondly, it aims to investigate the role of consumer attitudes as a mediator between religiosity and boycott involvement. The sample consists of 330 Malaysian consumers. Data were acquired via an online survey and analysed using partial least squares structural equation modeling in SmartPLS version 3.2.9. According to the findings, both religiosity and consumer attitudes have a positive effect on boycott involvement, with consumer attitudes mediating the relationship between religiosity and boycott involvement. This study has contributed greatly to the theory and practice of boycotts from both conventional aspects and from an Islamic perspective. As a result, from a theoretical standpoint, this study contributes to the existing literature on boycott involvement and enhances understanding regarding how religiosity affects boycott involvement. As a result, religiosity has a positive impact on boycott involvement, aligning with Muamalat principles. Consumer attitudes act as mediators, emphasizing ethical and religious concerns over economic action. Furthermore, legislators and business owners should be attentive to consumers' religious beliefs to avoid unfairly boycotting user involvement.

Human Firewall Simulator for Enhancing Security Awareness against Business Email Compromise

Chief executive officers (CEOs) can turn out to be the weakest link to an organization’s security and attackers know that if they successfully exploit or impersonate someone who has a high level of access like CEOs or chief finance officers (CFOs), they instantly gain great advantage. The problem comes when attacker manages to take control of email accounts of the CEOs and CFOs and sends an email to another staff in the organization, he/she is likely to take it seriously, act accordingly and quickly as possible, and may be wire cash to an account directed by the “CEO/CFO,” and/or get away with private or sensitive corporate information. Because of the nature of these attack methods, detection and protection are very difficult since the attackers take advantage of the human weakness which is the weakest link. The main aim of this study is to provide a solution to protect every surface of the organization. By developing a human firewall, working with the already existing technical solutions offers the solution to remaining problem of human weakness. This research developed a simulator to train the users with the latest trends the attackers are using making them do it right (flagging, reporting, not clicking suspicions links) and making email security part of their responsibility. This makes employee become human firewall. The results from the simulator are displayed in charts as number of employees who passed the test, number of employees who will click on the malicious links, number of employees who will download the dangerous attachments, number of employees who will reply to phishing emails, average awareness of the organization, and how individual employees performed. While organizations have made progress over the years, security is a never-ending process that requires improvement day by day. Since no one in the organization’s structure is immune including the top most in the cadre (i.e., CEO), complexity in understanding and awareness creation is more wanting than before. Integrating human firewall into existing security measures as the last line of defense in email communication against business email compromise frauds offers this solution because it has preventive as well as reactive measures both geared toward maximizing email security. A simulation of the attacks to analyze the user involvement to breaching the security followed by an evaluation simulation after integrating human firewall to the organization’s email security shows success level. The results from the test show the different success levels, that is, results from pre-assessment definitely show low success level since staff/employees have not been made aware/trained to profile or flag compared to when the employees/staff have gone through the training/awareness. Post-assessment indicates high success level because actions from employees turned into human firewall know how to take proper action, for example, flagging, not clicking malicious links. The organization should update its policies to accommodate and reinforce rules on the employees to ensure that the tool is used regularly and actions taken on user deemed a threat to the organizational email security.

Comparing Self-Fitting Strategies for Over-the-Counter Hearing Aids

Fewer than 20% of US adults with hearing loss use hearing aids due to barriers like high cost. Over-the-counter (OTC) hearing aids offer a potential solution, incorporating self-fitting strategies via smartphone apps. Self-fitting strategies have been validated for Food and Drug Administration (FDA)-approved OTC hearing aids compared with prescription-based approaches. However, no direct comparative analysis exists between in situ audiometry and self-adjustment strategies using self-fitting OTC (OTC-SF) hearing aids. To compare self-adjustment and in situ audiometry self-fitting strategies in OTC-SF hearing aids for adults with mild to moderate hearing difficulties. A crossover, within-participant pseudorandomized clinical trial was conducted between July and November 2023. Twenty-eight participants were pseudo-randomly assigned to 1 of the 2 self-fitting strategies, and they experienced both interventions for 4 consecutive weeks. The self-adjustment group manually adjusted settings, including overall gain and spectral tilt, using Lexie B2 hearing aids, while the in situ audiometry group used Lexie B2 Plus hearing aids (Lexie Hearing by hearX Group), with an automated fitting based on in situ tests conducted through the app. The primary outcome was Abbreviated Profile of Hearing Aid Benefit (APHAB). Secondary outcomes were International Outcome Inventory for Hearing Aids (IOI-HA), speech-in-noise tests (DIN and QuickSIN), and real-ear measurements (REMs). Measures were completed at baseline and after the 4-week field trial using each strategy. Twenty-eight participants (mean [SD] age, 60.2 [12.0] years) were included; 14 men and 14 women. Self-adjustment and in situ audiometry strategies produced no clinically meaningful differences across various outcome measures, including overall APHAB benefit (Cohen d = 0.2; 95% CI, -0.2 to 0.6) and overall IOI-HA satisfaction (Rosenthal r = 0.0; 95% CI, -0.3 to 0.2). Self-adjustment users reported higher satisfaction (Rosenthal r = -0.4; 95% CI, -0.6 to -0.1) and longer daily use (Rosenthal r = -0.3; 95% CI, -0.5 to 0.0) compared with those using in situ audiometry. No clinically meaningful differences were observed in speech-in-noise benefit and real-ear measurements. In this clinical trial of OTC-SF hearing aids, self-adjustment and in situ audiometry strategies resulted in similar outcomes. However, self-adjustment may produce higher satisfaction and longer daily use, highlighting the potential advantages of active user involvement in the fitting process. Further investigation is needed for long-term outcomes. ClinicalTrials.gov Identifier: NCT05782153.

Using Technology to Improve the Mental Capacity Assessment and Deprivation of Liberty Safeguards Process.

The process of mental capacity act (MCA) assessment and depravation of liberty safeguarding (DoLS) was identified as an area for improvement. The project aimed to ensure that patients admitted to hospital for care and treatment were appropriately assessed if there is doubt about their mental capacity and that the subsequent legal process of DoLS is followed as needed. The project group sought to address this issue using clinical informatics through the electronic health record and data reports to re-design the process. User involvement was key to ensure the process and key pieces of documentation were designed to be easy for staff to use with responsibilities clearly defined. The importance of operational staff having good visibility of the end-to-end process was key to allow staff to identify and address any gaps in the process in real time without the need for escalation by the safeguarding team. A robust data report further supports the safeguarding team to effectively manage this group of vulnerable patients. The project has significantly increased appropriately the number of MCA assessments undertaken and subsequent DoLS applications submitted to local authority partners.

Rapid review method series: interim guidance for the reporting of rapid reviews

Rapid reviews (RRs) are produced using abbreviated methods compared with standard systematic reviews (SR) to expedite the process for decision-making. This paper provides interim guidance to support the complete reporting...

Patients' perspectives on feedback interventions to support adherence to long-term medication: a systematic review with thematic synthesis of qualitative evidence

Abstract Background Medication optimisation is a global issue with up to 50% of people not taking medicines as prescribed. Numerous interventions have been developed to address this, many of them including feedback on behaviour and outcomes. Understanding patients’ views on such interventions is essential for successful adoption and use. Purpose The purpose of this systematic review is to: (1) Understand patients’ perspectives and experiences of medication adherence feedback interventions and (2) Identify barriers and facilitators which influence their implementation within practice. Methods CINAHL, MEDLINE, EMBASE, PubMED, PsycINFO and Google Scholar were systematically searched to identify relevant studies. The inclusion criteria included; studies with qualitative or mixed method designs describing patients’ perspectives on medication adherence feedback interventions, primary studies with adult participants on long-term medications and studies involving interventions suitable for self-management in primary or community care. Quality assessment was completed using the Mixed Methods Appraisal Tool. The review was reported using the PRISMA and conducted using ENTREQ guidelines. Data were extracted and analysed using thematic synthesis (NVivo 20). Findings were presented narratively. Results From the 1,031 records screened, ten studies were included. Five studies were conducted in the United States, two in the United Kingdom, and one in the Netherlands, Canada, and Tanzania, respectively. Medication adherence interventions included the use of therapeutic drug monitoring methods and digital adherence technologies such as mHealth and eHealth for people living with asthma, HIV, coronary heart disease, hypertension, and type 2 diabetes. Patients found interventions acceptable if they were simple to use, allowed control over data sharing options, incorporated audio visual cues, and provided emotional and motivational support. Building trust between patients and healthcare providers and the resulting benefit of shared decision-making were also considered key factors for intervention success. However, developing interventions without user input was identified as a potential barrier to intervention implementation. Patients expressed an overall desire to have interventions tailored to meet their personal needs and preferences, highlighting the importance of placing user needs at the centre of intervention development. Conclusion Placing user needs at the centre of adherence intervention development is crucial for successful implementation. Further research which facilitates user involvement in co-designing interventions to compliment patients’ characteristics and preferences would be key for intervention implementation.

Analysis of factors affecting Accounting Information System Performance

Currently, Bank Majalengka is facing challenges in optimizing the performance of its accounting information system to support operational efficiency and the preparation of accurate financial reports. Technical obstacles, such as system errors or human error, often affect the performance of accounting information systems, hindering smooth transactions and reporting. This research aims to determine the influence of Education and Training Programs, User Involvement and Personal Technical Ability at Bank Majalengka. This research uses quantitative descriptive. The population in this research is employees of Bank Majalengka. The research sample was determined using a non-probability sampling technique with a purposive sampling method. Aims to obtain samples that match the research criteria. The sample used was 48 Bank Majalengka employees who used an accounting information system. The analytical method used in this research is multiple regression analysis with the help of SPSS version 26 software. The results of this research show that Education and Training Programs and Personal Technical Capabilities have a significant effect on Accounting Information System Performance. Meanwhile, user involvement does not have a significant effect on the performance of the accounting information system.

Participatory Design Thinking: A User-Centered Approach to Computer Science Innovation

Traditional design thinking, while valuable, has limitations in user involvement. This paper proposes Participatory Design Thinking (PDT), a novel approach that addresses these limitations by placing users at the core of the entire design process in computer science (CS) projects (2). In this study, the shortcoming of traditional design thinking in user centricity was discussed and core principles and benefits of PDT are presented. Then, the practical implementation of PDT in CS, including user selection, training, and integration throughout the design stages were investigated. Finally, the potential impact of PDT on CS innovation and propose directions for future research were explored.