Human-centered design as a tool to improve employee experience: The case of a US plant-based food manufacturer

U.S. organizations are facing a self-resignation problem. Employees are leaving their jobs in rates never seen before mainly due to human dissatisfactions. The high staff turnover rates put organizations in jeopardy compromising their entire operation. Organizations that are not able to retain and attract local talent can incur in ergonomics, quality, productivity problems and additional business risks. We propose an empirical study conducted in a plant-based food company located in the Northwest of the United States, facing a turnover problem, to bring new knowledge in the field of employee experience. Based on the Human-Centered Design (HCD) and case study methodologies, we conducted 152 in-depth interviews with the operational workforce from the company of the case study to discover the employee needs. Later, we evaluated data obtained from the interviewees applying HCD principles (convergent and divergent techniques). After grouping our data, we identified ten themes "communication", "training", "accountability", "management", "trust", 'safety", "equipment functionality", "favoritism", "food safety", "recognition", "culture", and "work environment". We propose the themes can help decision makers to ideate organizational strategies to improve the employee experience perspective by aiming the satisfaction of human needs and human's role in the manufacturing setting.

Building Virtual Health Training Tools for Residents: A Design Thinking Approach.

The COVID-19 pandemic drove a rapid transition to virtual care experiences for graduate medical trainees. Core training competencies have expanded to incorporate virtual contexts, however there is limited knowledge of the optimal design of virtual care training tools for learners. In this study, we describe the application of a Design Thinking approach to the identification and co-design of novel training tools to support residents and precepting attending physicians in virtual ambulatory care practice. We applied the model of "Empathize, Define, Ideate, Prototype, and Test" via a mixed methods approach to (1) explore the needs, preferences, and concerns of Internal Medicine residents and outpatient precepting attendings regarding virtual ambulatory care training environments, and (2) evaluate, prototype, and test potential training tools. Eleven residents and eight attending physicians participated. Identified learner needs and problem areas included: improving virtual visit technical skills; acquiring virtual communication skills; adapting to the loss of shared in-person learning space and optimizing virtual learning environments; remediating non-virtual procedural competencies; and educating on new documentation requirements. Key solution areas included: virtual precepting support tools; digital information and education dissemination tools; and strategies for management of technical issues. Several prototypes were proposed, with a single tool (a virtual preceptor tip sheet) deployed in clinical practice. Residents found the workshop program improved their understanding of Design Thinking and its relevance to healthcare. Ultimately, Design Thinking can be deployed to engage medical trainees and precepting attendings in the effective development of novel educational tools for the virtual care learning environment.

Home Care 2041: Signals from the Future

Technological evolution has made available tools capable of connecting the patient to treating doctors and health facilities for ordinary activities and carrying out medical investigations directly at the patient's home, thanks to increasingly sophisticated devices. The restrictions on the movement of people due to the COVID-19 pandemic have encouraged the use of tools already available to doctors and patients but have also accelerated the development of ongoing projects. The Italian Society of Ergonomics and Human Factors SIE has created a multidisciplinary working group that has tried to imagine the shape of home care in the next twenty years. The study is based on integrating the "Human-Centered Design” and "Strategic Foresight” processes. According to their skills, the eight researchers have tried to identify the trends that will most influence the future, designing the possible scenarios in which home care will take place. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Improving the Engagement of Underrepresented People in Health Research Through Equity-Centered Design Thinking: Qualitative Study and Process Evaluation for the Development of the Grounding Health Research in Design Toolkit.

BACKGROUND: Health inequalities are rooted in historically unjust differences in economic opportunities, environment, access to health care services, and other social determinants. Owing to these health inequalities, the COVID-19 pandemic has disproportionately affected underserved populations, notably people of color, incarcerated and formerly incarcerated individuals, and those unable to physically distance themselves from others. However, people most strongly impacted by health disparities, and the pandemic, are not frequently engaged in research, either as researchers or as participants, resulting in slow progress toward improving health equity. Establishing ways to foster the engagement of historically excluded people is crucial to improving health equity through patient-centered health research. OBJECTIVE: This study aimed to assess the use of equity-centered design thinking (EDT) for engaging community members in research prioritization related to COVID-19. The co-design methods and subsequent production of a toolkit that can be used for engagement were assessed through process evaluation and qualitative methods. METHODS: Process evaluation and qualitative inquiry, using reflexive thematic analysis, were undertaken to examine the use of EDT. Patient community members and stakeholders remotely partnered with design and health researchers in a year-long digital process to cocreate capacity-building tools for setting agenda for research regarding the impact of COVID-19 on health outcomes. Through a series of 3 workshops, 5 community partners engaged in EDT activities to identify critical challenges for the health and well-being of their communities. The subsequent tools were tested with 10 health researchers who provided critical input over the course of 2 workshops. Interviews with co-designers, project materials, and feedback sessions were used in the process evaluation and finalization of an equity-centered toolkit for community engagement in research. Data from the co-design process, meetings, workshops, and interviews were analyzed using reflexive thematic analysis to identify salient themes. RESULTS: Process evaluation illustrated how the EDT co-design process offered an approach to engage patient partners and community stakeholders in health-related research around COVID-19. The participants expressed satisfaction with design thinking approaches, including creative activities and iterative co-design, as a means of working together. Thematic analysis identified 3 key themes: the value of authentic partnerships, building trust and empathy through design, and fostering candid dialogue around health and social issues impacting historically underrepresented and underinvested communities. CONCLUSIONS: The project addressed the need to test EDT strategies for fostering inclusive community engagement in health research agenda setting and provided an alternative to traditional top-down models. Despite the increasing use of human-centered design in health, few projects explicitly include equity in design thinking approaches. The use of methods and tools to intentionally engage underrepresented stakeholders in the process of research agenda setting and equitably sharing power between researchers and community members may improve health research, ultimately improving health equity.

A framework for designing AI systems that support community wellbeing.

Introduction: Designing artificial intelligence (AI) to support health and wellbeing is an important and broad challenge for technologists, designers, and policymakers. Drawing upon theories of AI and cybernetics, this article offers a design framework for designing intelligent systems to optimize human wellbeing. We focus on the production of wellbeing information feedback loops in complex community settings, and discuss the case study of My Wellness Check, an intelligent system designed to support the mental health and wellbeing needs of university students and staff during the COVID-19 pandemic. Methods: The basis for our discussion is the community-led design of My Wellness Check, an intelligent system that supported the mental health and wellbeing needs of university students and staff during the COVID-19 pandemic. Our system was designed to create an intelligent feedback loop to assess community wellbeing needs and to inform community action. This article provides an overview of our longitudinal assessment of students and staff wellbeing (n = 20,311) across two years of the COVID-19 pandemic. Results: We further share the results of a controlled experiment (n = 1,719) demonstrating the enhanced sensitivity and user experience of our context-sensitive wellbeing assessment. Discussion: Our approach to designing "AI for community wellbeing," may generalize to the systematic improvement of human wellbeing in other human-computer systems for large-scale governance (e.g., schools, businesses, NGOs, platforms). The two main contributions are: 1) showcasing a simple way to draw from AI theory to produce more intelligent human systems, and 2) introducing a human-centered, community-led approach that may be beneficial to the field of AI.

Designing an AI Assistant for Student Telehealth: A Case Study Using Human-Centered Design

The interactions of AI systems in human-autonomy teams are designed to support user understanding, confidence, and trust. This research puts these useful interactions in a broader context of how a healthcare team could work to best meet the goals of the human user. The use of technology including AI and automation solutions to deliver various virtual healthcare services has substantially increased over the past two years following the COVID-19 pandemic. This paper presents a case study on following a service design thinking methodology to investigate the potential impact of AI solutions on the patient-user experience targeted at university student patients using telehealth services. The service design thinking approach is focused on the whole user experience and quality of service. It incorporates temporal processes and considerations of the user's needs throughout their healthcare journey. User needs and requirements were elicited using interviews with a subject matter expert from the healthcare domain and with graduate student users. The collected data were analyzed and used to create two personas and storyboard scenarios. Then, three patient journey maps were created. The first 'As Is' journey map demonstrates the patients' pain points. Then, two alternative journey maps were developed to illustrate solutions using AI assistance, providing a holistic view of the patient experience during the telehealth journey. Low-fidelity prototypes and wireframes were produced in the prototyping phase. The added value of the journey map is that it shows where in the patient journey the AI assistant should best be integrated to reduce the risk and increase patient benefits. Moreover, the project identifies five main stages of the telehealth journey and offers key design improvements at each stage. For example, the process improvements point out how using an AI assistant can reduce time and effort by guiding the patient through the decision-making process to navigate the care options. Similarly, the AI assists the healthcare provider by gathering and integrating the patients' required health information to accelerate the care process. © 2022 IEEE.

International Collaboration to Develop a Remote Monitoring Web App for COVID-19 Patients in Armenia: Design and Development With Agile Methodology.

BACKGROUND: COVID-19 has led to over 500 million cases and 6.2 million deaths around the world. Low- and middle-income countries (LMICs) like Armenia face unique infrastructure, financial, and capacity challenges that in many cases result in worse outcomes. Health care facilities across Armenia experienced a shortage of resources, including hospital beds and oxygen, which was further exacerbated by the war with neighboring Azerbaijan. Without a framework for home-based care, health care facilities were severely strained by COVID-19 patients who had prolonged oxygen requirements but were otherwise clinically stable. OBJECTIVE: This paper describes our approach to establishing an international collaboration to develop a web app to support home monitoring of patients with COVID-19 with persistent oxygen requirements. METHODS: The app was developed using a rapid, coordinated, and collaborative approach involving an international group of clinicians, developers, and collaborators. Health screening, monitoring, and discharge forms were developed into a lightweight OpenMRS web app and customized for the local Armenian context. RESULTS: The software was designed and developed over 2 months using human-centered design and agile sprints. Once live, 5087 patient records were created for 439 unique patients. CONCLUSIONS: This project suggests a promising framework for designing and implementing remote monitoring programs in LMICs, despite pandemic and geopolitical challenges.

A Mobile Application-Based Relational Agent as a Health Professional for COVID-19 Patients: Design, Approach, and Implications.

Relational Agents' (RAs) ability to maintain socio-emotional relationships with users can be an asset to COVID-19 patients. The goal of this research was to identify principles for designing an RA that can act as a health professional for a COVID-19 patient. We first identified tasks that such an RA can provide by interviewing 33 individuals, who had recovered from COVID-19. The transcribed interviews were analyzed using qualitative thematic analysis. Based on the findings, four sets of hypothetical conversations were handcrafted to illustrate how the proposed RA will execute the identified tasks. These conversations were then evaluated by 43 healthcare professionals in a qualitative study. Thematic analysis was again used to identify characteristics that would be suitable for the proposed RA. The results suggest that the RA must: model clinical protocols; incorporate evidence-based interventions; inform, educate, and remind patients; build trusting relationships, and support their socio-emotional needs. The findings have implications for designing RAs for other healthcare contexts beyond the pandemic.

Supporting communities of practice - A Journey to effective problem-solving [version 1, peer review: 2 approved with reservations, 1 not approved]

In contexts of scarce resources, varied assets, and diverse communities, engaging local stakeholders in the problem-solving process is critical to develop interventions for HIV prevention and treatment. Communities of practice (CPs) - groups of people organized around a key purpose and a delivery point - can develop expertise in identifying their local community's key challenges and selecting viable solutions. We propose a framework for systematically understanding the stages a CP may go through as it develops its capacity to identify and solve problems and implement good practices. Our framework is based on the experience of practitioners of the LISTEN model (Local Initiatives Scaled Through Enterprise Networks) in eight local-level CPs in Kenya and Eswatini. LISTEN seeks to help CPs integrate continuous improvement processes, data, and human-centered design into their development and solutioning activities. The four stages in our framework for a CP's problem-solving journey are: 1) Community Identity: Identify and understand the community's purpose and goals, and build rapport with its members and leaders;2) Quick Win: Use a process of human-centered design to obtain a rapid and clear success in addressing a problem that the local community has identified for itself and which it can tackle with its own resources;3) Stewardship: Support the CP in addressing more complex or long-term issues, including links to other CPs at the localcommunity or higher levels to disseminate knowledge and obtain resources and support, where needed;and 4) Evolution: Support the CP as it transitions into potentially new structures or functions. For each stage of the framework, we describe the kinds of support that may be provided to the CP in the LISTEN model, and the types of tools that could be developed to assist them in problem-solving and in disseminating sustainable solutions. Copyright © 2020. Hanschke C et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Human-centered design of clinical decision support for management of hypertension with chronic kidney disease.

BACKGROUND: Primary care providers face challenges in recognizing and controlling hypertension in patients with chronic kidney disease (CKD). Clinical decision support (CDS) has the potential to aid clinicians in identifying patients who could benefit from medication changes. This study designed an alert to control hypertension in CKD patients using an iterative human-centered design process. METHODS: In this study, we present a human-centered design process employing multiple methods for gathering user requirements and feedback on design and usability. Initially, we conducted contextual inquiry sessions to gather user requirements for the CDS. This was followed by group design sessions and one-on-one formative think-aloud sessions to validate requirements, obtain feedback on the design and layout, uncover usability issues, and validate changes. RESULTS: This study included 20 participants. The contextual inquiry produced 10 user requirements which influenced the initial alert design. The group design sessions revealed issues related to several themes, including recommendations and clinical content that did not match providers' expectations and extraneous information on the alerts that did not provide value. Findings from the individual think-aloud sessions revealed that participants disagreed with some recommended clinical actions, requested additional information, and had concerns about the placement in their workflow. Following each step, iterative changes were made to the alert content and design. DISCUSSION: This study showed that participation from users throughout the design process can lead to a better understanding of user requirements and optimal design, even within the constraints of an EHR alerting system. While raising awareness of design needs, it also revealed concerns related to workflow, understandability, and relevance. CONCLUSION: The human-centered design framework using multiple methods for CDS development informed the creation of an alert to assist in the treatment and recognition of hypertension in patients with CKD.

Design thinking mindsets: Reconstituting failure to increase students' problem-solving skills

The researcher conducted an ex-post facto evaluation to investigate whether design thinking mindset curriculum has a positive effect on self-efficacy and belief in the students' ability to problem-solve. All students included in the evaluation were part of a sixth-grade Team 1 team day and participated remotely due to COVID-19. By analyzing both quantitative and qualitative data, the researcher sought to identify the extent to which self-efficacy and belief in one's ability to problem-solve increased, how researchers might create problem-seekers of our secondary students, and to gauge to what extent language acquisition for design thinking mindsets occurs with minimal exposure. In this dissertation in practice, the researcher's aim is to add to understanding about the effects of design thinking mindsets on the youngest secondary students and determine the relationship between exposure to design thinking mindsets and belief in the ability to problem-solve. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Human-Centered Design Approaches in Digital Mental Health Interventions: Exploratory Mapping Review.

BACKGROUND: Digital mental health interventions have a great potential to alleviate mental illness and increase access to care. However, these technologies face significant challenges, especially in terms of user engagement and adoption. It has been suggested that this issue stems from a lack of user perspective in the development process; accordingly, several human-centered design approaches have been developed over the years to consider this important aspect. Yet, few human-centered design approaches to digital solutions exist in the field of mental health, and rarely are end users involved in their development. OBJECTIVE: The main objective of this literature review is to understand how human-centered design is considered in e-mental health intervention research. METHODS: An exploratory mapping review was conducted of mental health journals with the explicit scope of covering e-mental health technology. The human-centered design approaches reported and the core elements of design activity (ie, object, context, design process, and actors involved) were examined among the eligible studies. RESULTS: A total of 30 studies met the inclusion criteria, of which 22 mentioned using human-centered design approaches or specific design methods in the development of an e-mental health solution. Reported approaches were classified as participatory design (11/27, 41%), codesign (6/27, 22%), user-centered design (5/27, 19%), or a specific design method (5/27, 19%). Just over half (15/27, 56%) of the approaches mentioned were supported by references. End users were involved in each study to some extent but not necessarily in designing. About 27% (8/30) of all the included studies explicitly mentioned the presence of designers on their team. CONCLUSIONS: Our results show that some attempts have indeed been made to integrate human-centered design approaches into digital mental health technology development. However, these attempts rely very little on designers and design research. Researchers from other domains and technology developers would be wise to learn the underpinnings of human-centered design methods before selecting one over another. Inviting designers for assistance when implementing a particular approach would also be beneficial. To further motivate interest in and use of human-centered design principles in the world of e-mental health, we make nine suggestions for better reporting of human-centered design approaches in future research.

A Framework for Self-Explaining Systems in the Context of Intensive Care

Ventilated intensive care patients represent a sizable group in the intensive care unit that requires special attention. Although intensive care units are staffed with more nurses per patient than regular wards, the situation is often precarious. A situation that has become more acute during the COVID-19 pandemic. Weaning from mechanical ventilation as well as the limited communication abilities pose substantial stress to the patients. The incapability to impart even basic needs may negatively impact the healing process and can lead to delirium and other complications. To support the communication and information of weaning patients as well as to foster patient autonomy, we are developing a smart environment that is tailored to the intensive care context. While the provision and connection of smart objects and applications for this purpose can be timeconsuming, self-organization and self-explainability may present helpful tools to reduce the effort. In this paper, we present a framework for self-explaining and semi-automatically interconnected ensembles of smart objects and ambient applications (that are integrated into smart spaces) used to realize the assistive environment. Based on a description language for these components, ensembles can be dynamically connected and tailored to the needs and abilities of the patients. Our framework has been developed and evaluated iteratively and has been tested successfully in our laboratory.

Designing a Framework for Remote Cancer Care Through Community Co-design: Participatory Development Study.

BACKGROUND: Recent shifts to telemedicine and remote patient monitoring demonstrate the potential for new technology to transform health systems; yet, methods to design for inclusion and resilience are lacking. OBJECTIVE: The aim of this study is to design and implement a participatory framework to produce effective health care solutions through co-design with diverse stakeholders. METHODS: We developed a design framework to cocreate solutions to locally prioritized health and communication problems focused on cancer care. The framework is premised on the framing and discovery of problems through community engagement and lead-user innovation with the hypothesis that diversity and inclusion in the co-design process generate more innovative and resilient solutions. Discovery, design, and development were implemented through structured phases with design studios at various locations in urban and rural Kentucky, including Appalachia, each building from prior work. In the final design studio, working prototypes were developed and tested. Outputs were assessed using the System Usability Scale as well as semistructured user feedback. RESULTS: We co-designed, developed, and tested a mobile app (myPath) and service model for distress surveillance and cancer care coordination following the LAUNCH (Linking and Amplifying User-Centered Networks through Connected Health) framework. The problem of awareness, navigation, and communication through cancer care was selected by the community after framing areas for opportunity based on significant geographic disparities in cancer and health burden resource and broadband access. The codeveloped digital myPath app showed the highest perceived combined usability (mean 81.9, SD 15.2) compared with the current gold standard of distress management for patients with cancer, the paper-based National Comprehensive Cancer Network Distress Thermometer (mean 74.2, SD 15.8). Testing of the System Usability Scale subscales showed that the myPath app had significantly better usability than the paper Distress Thermometer (t63=2.611; P=.01), whereas learnability did not differ between the instruments (t63=-0.311; P=.76). Notable differences by patient and provider scoring and feedback were found. CONCLUSIONS: Participatory problem definition and community-based co-design, design-with methods, may produce more acceptable and effective solutions than traditional design-for approaches.

Establishing a blockchain online travel agency with a human–computer interaction perspective

Purpose>This study aims to incorporate innovative technology (i.e. blockchain) into the design of an online travel agency (B-OTA). The authors accelerated the design of the prototype system through expert interviews to understand the convenience of the blockchain travel and accommodation platform for users. The authors further validated the prototype system design and improved reference capability through usability testing.Design/methodology/approach>Rapid prototyping of B-OTA was carried out through the Delphi method and literature compilation. Design validation of usability testing was conducted using modified systematic evaluation methodology. Prototype system suggestions and improvements were collected through feedback from test subjects.Findings>This study will be helpful for the development of B-OTAs and related technologies. Through usability testing, the authors verified that creating a familiar operating environment for users can reduce users’ fear of unfamiliar technology. The results of this research provide future B-OTA researchers and practitioners with design guidelines.Originality/value>Beyond the blockchain-related technologies used, few studies have reported experiences and interface design of B-OTAs. This study states that, as many human–computer interaction-related papers have pointed out, the basic prerequisite for successful interface design is a clearer definition of users’ needs during operation. User experience and user interface design should provide a good user experience.

Website Usability Evaluation using Human Centered Design (HCD) Approach

As a result of the COVID-19 pandemic that is endemic throughout the world including Indonesia, which forces all activities to be done at home, including teaching and learning activities. This study aims to see the level of usability on an online college website and provide input based on human-centered design. The method used is the Usability testing criteria by Nielsen and the task to respond to the HCD approach, and consider the Quality Requirement tree for the academic websites. The results of the evaluation in this study indicate that the value of usability acceptance by users on the online college website is at 3.52, meaning that the online college website is quite user-friendly. The average value for usability testing, they are 3.4 for learnability, 3.4 for efficiency, and 3.52 for satisfaction, while memorability and error rate both get a value of 3.5. © 2021 IEEE.

A Mobile Health Tool for Peer Support of Individuals Reentering Communities After Incarceration.

Individuals just released from prison, or returning citizens (RCs), face high mortality rates during the reentry period, with cardiovascular disease (CVD) being a leading cause. Peer mentors can support RCs' health, but they traditionally work in person, which may not always be feasible, particularly during pandemic outbreaks such as COVID-19. We used human-centered design to build a prototype of RCPeer, a web/mobile application (app) to support peer-led reentry efforts through CVD risk screening, action planning, linkage to resources addressing reintegration needs (e.g., housing, transportation), and goal-setting. We assessed feasibility, acceptability, and usability of RCPeer using mixed-methods. System Usability Scale (SUS) scores were 68 for peers and 66 for RCs, indicating good usability. Qualitative data suggests that RCPeer can support reentry tasks through RCs and peers sharing data, strengthen RC-peer relationships, and facilitate RCs meeting their goals. Future work is needed to enhance usability for RCs with limited technology experience.

Requirements for a Bespoke Intensive Care Unit Dashboard in Response to the COVID-19 Pandemic: Semistructured Interview Study.

BACKGROUND: Intensive care units (ICUs) around the world are in high demand due to patients with COVID-19 requiring hospitalization. As researchers at the University of Bristol, we were approached to develop a bespoke data visualization dashboard to assist two local ICUs during the pandemic that will centralize disparate data sources in the ICU to help reduce the cognitive load on busy ICU staff in the ever-evolving pandemic. OBJECTIVE: The aim of this study was to conduct interviews with ICU staff in University Hospitals Bristol and Weston National Health Service Foundation Trust to elicit requirements for a bespoke dashboard to monitor the high volume of patients, particularly during the COVID-19 pandemic. METHODS: We conducted six semistructured interviews with clinical staff to obtain an overview of their requirements for the dashboard and to ensure its ultimate suitability for end users. Interview questions aimed to understand the job roles undertaken in the ICU, potential uses of the dashboard, specific issues associated with managing COVID-19 patients, key data of interest, and any concerns about the introduction of a dashboard into the ICU. RESULTS: From our interviews, we found the following design requirements: (1) a flexible dashboard, where the functionality can be updated quickly and effectively to respond to emerging information about the management of this new disease; (2) a mobile dashboard, which allows staff to move around on wards with a dashboard, thus potentially replacing paper forms to enable detailed and consistent data entry; (3) a customizable and intuitive dashboard, where individual users would be able to customize the appearance of the dashboard to suit their role; (4) real-time data and trend analysis via informative data visualizations that help busy ICU staff to understand a patient's clinical trajectory; and (5) the ability to manage tasks and staff, tracking both staff and patient movements, handovers, and task monitoring to ensure the highest quality of care. CONCLUSIONS: The findings of this study confirm that digital solutions for ICU use would potentially reduce the cognitive load of ICU staff and reduce clinical errors at a time of notably high demand of intensive health care.

Observing the Patient Experience: Inside the Doctor's Office in a Pandemic

Focusing on the clinical doctor-patient consultation setting, this paper outlines the methodology and presents the results from a series of observational studies between doctor and patients undertaken in September and October 2020 within a public hospital setting during the COVID-19 pandemic. Using a design thinking methodology, the authors gained empathy and insights into the challenges experienced from both doctor and patient perspectives, during this period. This paper also discusses emergent themes from this qualitative investigation and examines the role of empathy in helping define the extent of the challenges that arose. As the first phase in a planned set of research phases, this work is informing and helping to shape subsequent ideation and design of multimedia related interventions to see if these human-centred design interventions can assist in improving the complex doctor-patient communication process. © 2021 IEEE.

Human-Computer Interaction in Digital Mental Health

Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI has not been well-combined into technological developments resulting in quality and safety concerns. Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services. AI is driving web-based and smartphone apps;mostly it is used for self-help and guided cognitive behavioral therapy (CBT) for anxiety and depression. Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems. The barriers for using AI in mental healthcare include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education and training, and socio-cultural adaptability. Apps, real-time machine learning algorithms, immersive technologies, and digital phenotyping are notable prospects. Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or stepped care in an adjunct approach. HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist in the digital therapeutic alliance.