Optimal User Experience Research Articles

Revolutionizing User Engagement: Integrating Chatbot Technology for Real-Time Assistance and Interactive Dialogue in Human-Robot Interaction

This research paper explores the integration of chatbot technology to revolutionize human-robot interaction, focusing on enhancing user engagement through real-time assistance and interactive dialogue. The study delves into the architecture, functionalities, and practical applications of chatbot integration in robots, aiming to optimize user experience and interaction dynamics. Advancements in artificial intelligence and robotics have led to the development of innovative applications, one of which is the integration of chatbot programs into robots for guiding and engaging in real-time conversations with users. This research article presents an in-depth exploration of a robot equipped with a chatbot program, designed to assist users in various tasks while maintaining interactive and responsive communication. The study discusses the architecture, functionality, and practical implications of such a system, highlighting its potential in enhancing user experience and addressing challenges in human-robot interactions.

PENERAPAN METODE USER CENTERED DESIGN PADA USER INTERFACE & USER EXPERIENCE SISTEM ONLINE BOOKING SERVICE BERBASIS WEBSITE DI CV SALUYU MANDIRI PRATAMA

Today's technological developments encourage many companies to try to make it easier for the needs and convenience of online transactions, one of which is introducing a website-based booking service system and spare parts store. However, there are still challenges in designing optimal user interfaces and user experiences to achieve the company's business goals. This study aims to apply the User Centered Design (UCD) method to the appearance of an online booking service system and website-based spare parts shop at CV Saluyu Mandiri Pratama. User Centered Design (UCD) is an approach that focuses on the user in the entire manufacturing process, starting from user understanding, requirements gathering, prototyping, to user evaluation. The research methodology includes the stages of analyzing user needs and user context, creating interface concepts, developing prototypes, and evaluating users. Analysis of user needs is carried out through interviews, observation, and literature studies to understand user needs and preferences. Prototype development is carried out using interface creation tools that allow users to visually interact with the system. The results of this study are applications that pay attention to user needs and preferences, and provide optimal user experience. The User Centered Design (UCD) method has proven to be effective in assisting companies in designing systems that are more relevant and satisfying to users.

Effects of adaptation accuracy and magnitude in affect-aware difficulty adaptation for the multi-attribute task battery

In affective computing, classification algorithms are used to recognize users’ psychological states and adapt tasks to optimize user experience. However, classification is never perfect, and the relationship between adaptation accuracy and user experience remains understudied. It is also unclear whether the adaptation magnitude (‘size’ of action taken to influence user states) influences effects of adaptation accuracy. To evaluate impacts of adaptation accuracy (appropriate vs. inappropriate actions) and magnitude on user experience, we conducted a ‘Wizard of Oz’ study where 112 participants interacted with the Multi-Attribute Task Battery over three 11-minute intervals. An adaptation accuracy (50 % to 80 %) was preassigned for the first 11-minute interval, and accuracy increased by 10 % in each subsequent interval. Task difficulty changed every minute, and participant preferences for difficulty changes were assessed at the same time. Adaptation accuracy was artificially induced by fixing the percentage of times the difficulty changes matched participant preferences. Participants were also randomized to two magnitude conditions, with difficulty modified by 1 (low) or 3 (high) levels each minute. User experience metrics were assessed after each interval.Analysis with latent growth models offered support for linear increases in user experience across increasing levels of adaptation accuracy. For each 10 % gain in accuracy, results indicate a 1.3 (95 % CI [.35, 2.20]) point increase in NASA Task Load Index scores (range 6–60), a 0.40 (95 % CI [.18, 0.57]) increase in effort/importance (range 2–14), and 0.48 (95 % CI [.24, 0.72]) increase in perceived competence (range 2–14). Furthermore, the effect of accuracy on Task Load Index scores was modulated by adaptation magnitude. No effects were observed for interest/enjoyment or pressure/tension. By providing quantitative estimates of effects of adaptation accuracy on user experience, the study provides guidelines for researchers and developers of affect-aware technologies. Furthermore, our methods could be adapted for use in other affective computing scenarios.

The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization

Online platforms have a wealth of data, run countless experiments, and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is that incentives are misaligned: platforms are not optimizing for user happiness. We suggest the problem runs deeper, transcending the specific incentives of any particular platform, and instead stems from a mistaken foundational assumption. To understand what users want, platforms look at what users do. This is a kind of revealed-preference assumption that is ubiquitous in the way user models are built. Yet research has demonstrated, and personal experience affirms, that we often make choices in the moment that are inconsistent with what we actually want. The behavioral economics and psychology literatures suggest, for example, that we can choose mindlessly or that we can be too myopic in our choices, behaviors that feel entirely familiar on online platforms. In this work, we develop a model of media consumption where users have inconsistent preferences. We consider a platform which wants to maximize user utility, but only observes behavioral data in the form of the user’s engagement. We show how our model of users’ preference inconsistencies produces phenomena that are familiar from everyday experience but difficult to capture in traditional user interaction models. These phenomena include users who have long sessions on a platform but derive very little utility from it, and platform changes that steadily raise user engagement before abruptly causing users to go “cold turkey” and quit. A key ingredient in our model is a formulation for how platforms determine what to show users: they optimize over a large set of potential content (the content manifold) parametrized by underlying features of the content. Whether improving engagement improves user welfare depends on the direction of movement in the content manifold: For certain directions of change, increasing engagement makes users less happy, whereas in other directions on the same manifold, increasing engagement makes users happier. We provide a characterization of the structure of content manifolds for which increasing engagement fails to increase user utility. By linking these effects to abstractions of platform design choices, our model thus creates a theoretical framework and vocabulary in which to explore interactions between design, behavioral science, and social media. This paper was accepted by Yan Chen, behavioral economics and decision analysis. Funding: This work was supported by the Vannevar Bush Faculty Fellowship and Multidisciplinary University Research Initiative [Grant W911NF-19-0217]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/mnsc.2022.03683 .

VetConnect Cancer Navigator: Enhancing care for veterans with breast and gynecologic cancers.

554 Background: With women becoming the fastest-growing group in the Veteran population, the prevalence of breast and gynecologic cancers among Veterans is a growing concern. Studies have demonstrated higher rates of breast cancer among Veterans compared to nonveterans. As the number of women Veterans continues to rise, an increased incidence of breast and gynecologic cancers is expected. Unfortunately, efficient identification of newly diagnosed cases among Veterans is often lacking, leading to delays in diagnosis and treatment. The Breast/Gynecological System of Excellence (BGSOE) aims to ensure that Veterans with breast and gynecologic cancers receive state-of-the-art, guideline-adherent care, whether within the VA system or at outside institutions. Methods: To address this issue, BGSOE stakeholders collaborated to develop a comprehensive care coordination infrastructure called the VetConnect Cancer Navigator. This tool not only identifies newly diagnosed cases of breast and/or gynecologic cancers, but also provides additional navigation support to Veterans who may be receiving their cancer care within the VA or other healthcare systems. The development process involved designing a user-friendly interface, extracting relevant data, and integrating advanced analytics to optimize user experience. Continuous evaluations, both formal and informal, were conducted to ensure optimal usability and workflow fitness. In January 2023, the VetConnect Cancer Navigator was launched as a pilot program at the Durham VA Medical Center. Results: From January 2021 to June 2023, a total of 5,519 Veterans were identified with newly diagnosed breast and/or gynecologic cancers throughout the entire nationwide VA system. Since the launch of the navigator at the Durham VA Medical Center pilot site, it has successfully identified 37 Veterans with newly diagnosed breast and/or gynecologic cancers. Of these cases, 27 patients have been contacted by the dedicated nurse navigator, 22 have completed an intake form, and 18 have agreed to enroll in the BGSOE navigation program. Conclusions: The VetConnect Cancer Navigator represents a pioneering approach to the design and implementation of health information technology tools. As demonstrated through the pilot site, the navigator facilitates innovative coordination and delivery of healthcare, specifically tailored to the need of the BGSOE program, this tool significantly enhances the quality of care provided to Veterans with breast and/or gynecologic cancers. Through improved care coordination and navigation support, the VetConnect Cancer Navigator plays a crucial role in ensuring Veterans receive optimal, guideline-based care regardless of their treatment location within or outside the VA system.

Sports Visualization in the Wild: The Impact of Technical Factors on User Experience in Augmented Reality Sports Spectating.

The maturity of Augmented Reality (AR) technology allows for expansion into real-world applications, including visualizations for on-site sports spectating. However, it's crucial to understand the factors influencing user experience in AR applications. To optimize user experience, we conducted a user study where participants adjusted parameters to determine noticeable and disruptive values of latency, registration accuracy, and jitter using a mobile indirect AR prototype that simulates a rugby stadium experience. Our findings indicate that latency has the highest disruptive impact on users' experience, with registration accuracy following closely. Furthermore, when noticeable latency, registration accuracy, and jitter were combined, the user experience was negatively affected in a non-linear, combinatorial manner. This suggests that addressing factors individually is necessary but not enough for successful user experiences. By understanding these factors, developers can optimize AR experiences when creating immersive AR sports experiences and other large-scale AR applications to ensure maximum enjoyment for users.

Применение инновационных подходов в антикризисном управлении интернет-платформами

The article is devoted to the study of innovative methods of crisis management of Internet platforms, which are becoming an important component of the modern economic environment. In the course of the research, various methods of analysis are used, including a detailed examination of modern crisis management strategies and an analysis of successful cases of integration of innovations into Internet platforms. The obtained results emphasize the importance of innovative approaches for effectively overcoming crisis situations and ensuring the sustainability of Internet platforms, and the analysis of practical examples shows that innovations contribute to improving competitiveness, optimizing user experience and increasing the financial performance of Internet platforms. The results of the study emphasize the importance of innovation for crisis management of Internet platforms, which also defines the main aspects of the theory, including the core and protective shell, and also shows the possibilities of its transformation based on the integration of the principles of the theories of disruptive innovation by K. Christensen and technological revolutions by K. Perez. The study demonstrates that changing the protective shell of the theory of crisis management under the influence of institutional changes caused by technological transformations is an important element of successful crisis management of Internet platforms. Thus, this article provides valuable practical recommendations and contributes to the expansion of the theory of crisis management of Internet platforms. The contribution made to the field of crisis management emphasizes that innovations are an important tool for effectively overcoming crisis situations, increasing competitiveness and ensuring the sustainability of Internet platforms.

ASPECT-BASED SENTIMENT ANALYSIS TERHADAP ULASAN APLIKASI FLIP MENGGUNAKAN PEMBOBOTAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) DENGAN METODE KLASIFIKASI K-NEAREST NEIGHBORS (K-NN)

The rapid growth of online transactions in Indonesia has increased the demand for efficient interbank transfer solutions. However, the costs associated with such transactions have become a significant obstacle. Flip, a company with a vision to become a global leader in customer satisfaction-driven services, offers a solution to this challenge. This study proposes an aspect-based sentiment analysis method using the K-Nearest Neighbors (K-NN) algorithm to analyze user sentiment on key aspects, namely speed, security, and the cost of using the Flip application. The results of this research provide valuable information that can be used as a basis to provide insights, suggestions and recommendations to businesses, so they can create better solutions and promote optimal user experience. The research results show that the K-NN model has the ability to predict user psychology well in all aspects, with a significant level of accuracy, specifically speed (73.04%), security (86, 05%) and costs (80.11%). In addition, this study also compares two model validation methods: simple data splitting method and K-Fold cross-validation. Although the simple data splitting method has a higher average accuracy, K-fold cross-validation is considered superior as it provides a more accurate and reliable estimate of the overall performance of the model. Sentiment analysis results show that Flip app users tend to give negative feedback on speed and security, while they give positive feedback on cost. Therefore, the main recommendation is that the company PT Fliptech Lentera Inspirasi Pertiwi improves the speed and security aspects to increase user satisfaction with the Flip application. Therefore, this customer-centric service will continue to prioritize user satisfaction as its primary goal.

FLAME-VQA: A Fuzzy Logic-Based Model for High Frame Rate Video Quality Assessment

In the quest to optimize user experience, network, and service, providers continually seek to deliver high-quality content tailored to individual preferences. However, predicting user perception of quality remains a challenging task, given the subjective nature of human perception and the plethora of technical attributes that contribute to the overall viewing experience. Thus, we introduce a Fuzzy Logic-bAsed ModEl for Video Quality Assessment (FLAME-VQA), leveraging the LIVE-YT-HFR database containing 480 video sequences and subjective ratings of their quality from 85 test subjects. The proposed model addresses the challenges of assessing user perception by capturing the intricacies of individual preferences and video attributes using fuzzy logic. It operates with four input parameters: video frame rate, compression rate, and spatio-temporal information. The Spearman Rank–Order Correlation Coefficient (SROCC) and Pearson Correlation Coefficient (PCC) show a high correlation between the output and the ground truth. For the training, test, and complete dataset, SROCC equals 0.8977, 0.8455, and 0.8961, respectively, while PCC equals 0.9096, 0.8632, and 0.9086, respectively. The model outperforms comparative models tested on the same dataset.

PERANCANGAN DAN IMPLEMENTASI APLIKASI EDUKASI MENTAL HEALTH MENGGUNAKAN METODE DESIGN THINKING

This research aims to design and implement User Experience (UX) and User Interface (UI) in a Mental Health education application using the Design Thinking method. Mental health has become an increasingly important issue in society today, requiring efforts to provide effective education in this area. The Design Thinking method is used as the main approach in the application design process, involving four phases: understanding (empathize), observation (observe), ideation (ideate), and prototyping (prototype). Throughout the development process, active participation from various stakeholders is involved, including mental health experts, potential users, and the application development team. The application offers an intuitive and engaging interface, with a focus on adequate user experience and visually appealing design. Various features have been implemented, including splash screens, onboarding, login, home screens, mindfulness, classes, notifications, profiles, order history, and lists. Users can easily access educational materials on mental health, participate in interactive classes, and receive relevant notifications to reinforce their attention to mental health. Through this application, it is expected to increase awareness and understanding of the importance of mental health among the public. By combining good UX and UI principles with the Design Thinking approach, this educational application has the potential to provide an optimal user experience and enhance user engagement in mental health education.

User experiences during the transition to calibration-free sensors with remote monitoring while using automated insulin delivery -a qualitative study.

To evaluate the experiences of patients with type 1 diabetes following transition from a calibration-requiring to a calibration-free sensor and remote monitoring in the context of using automated insulin delivery (AID). Fifteen participants aged 7-65 years with type 1 diabetes participating in a longitudinal study used a Medtronic® advanced hybrid closed loop (AHCL) device with initially calibration-requiring then calibration-free sensors. Qualitative interviews were conducted ≥20 weeks following use of the calibration-requiring and ≥4 weeks after use of the calibration-free sensors/remote monitoring. Thematic analysis was used to identify key themes and subthemes. At baseline, mean diabetes duration was 14.5 years ( ± 10.9), mean Hba1c 54.8 mmol/mol ( ± 10.2) (7.2 ± 0.9%) and Time in range 75.4% ( ± 11.6). Participants reported a progressive improvement in digital and lifestyle integration, and device trust following transition to calibration-free sensors with remote monitoring potential. They also reported a reduced need for capillary glucose, increased device satisfaction and trust, and reduced burden of diabetes care. Negative aspects reported included periodic early sensor loss, and for some, impaired integration with mobile devices. Transitioning to calibration-free sensors with remote monitoring while using AHCL was associated with better user experience, including perceptions of improved quality of life and a reduced burden of diabetes care. Appropriate expectation setting, training, and ongoing support allow for the optimal user experience while using AHCL. https://www.anzctr.org.au, identifier ACTRN12621000360819.

Investigating the Impact of Service Quality on Customer Satisfaction and Subsequent Customer Loyalty in Bank Jago

In an increasingly competitive banking industry, it is important for banks to understand consumer satisfaction and build consumer loyalty in order to maintain market share and achieve sustainable growth. This research focuses on Bank Jago users, with the aim of analyzing the relationship between service quality, consumer satisfaction, and consumer loyalty in that context. This study uses a quantitative approach with purposive sampling method to collect and analyze data from 318 respondents who are Bank Jago users in the Bandung and Jabodetabek areas who have experience using Bank Jago services for at least 1 year. The data collection method was conducted through a questionnaire-based survey that was disseminated to a sample of bank users. The collected data were then analyzed using descriptive statistics and PLS-SEM to test the relationship between the observed variables. The results of the analysis show that service quality, especially in the indicators of Efficiency, Responsiveness, Site Organization, and User Friendliness provided by Bank Jago has a positive effect on customer satisfaction. The higher the quality of services provided by the bank, the higher the level of satisfaction felt by users. In addition, this study also revealed that consumer satisfaction has a positive influence on consumer loyalty in Bank Jago users. In other words, the more satisfied users are with the banking services provided by Bank Jago, the more likely they are to remain loyal as Bank Jago users in the future. This research makes an important contribution to Bank Jago in understanding the factors that affect the satisfaction and loyalty of their users. The findings of this research can be the basis for Bank Jago to improve the quality of their services, optimize user experience, and maintain consumer loyalty amid intense banking industry competition. In addition, this research also contributes to a broader understanding of the importance of service quality in creating consumer satisfaction and building consumer loyalty in the context of the banking industry.

HARNESSING THE POWER OF PROTOTYPING METHOD FOR ENGAGING RESPONSIVE WEB PROFILES

This research discusses the implementation of the prototyping method in enhancing institutional visibility through the development of responsive web profiles. Institutional visibility is key to achieving success and sustainable growth in today's digital era. Developing a responsive web profile increases visibility by providing optimal user experience across various devices and screen resolutions effectively. The prototyping method was the primary approach in developing this responsive web profile. It allows developers to create initial models that can be tested and evaluated before the full development of the web profile. The research explains the steps in developing a responsive web profile using prototyping. The results show that this method offers an efficient and practical approach to creating a responsive web profile, ensuring user satisfaction, and meeting the increasing expectations of users. Therefore, institutions should consider applying this prototyping method to strengthen their visibility through innovative, responsive web profiles. Responsive web profiles enable institutions to reach and engage their target audience through different devices, enhancing user engagement and providing consistent user experiences. The result shows that prototyping enhances institutional web profiles, improves user experience, and effectively increases visibility with high satisfaction, with an average of 83.2.

Dynamic User Routing, Paid and Free Users, Web applications, Content Delivery Network (CDN)

Abstract: This research paper introduces a novel approach for efficient routing between paid and free users in web applications by harnessing the capabilities of a Content Delivery Network (CDN). The primary objective of this study is to optimize user experience and resource allocation based on user type, aiming to deliver personalized content while maximizing resource utilization. The proposed routing mechanism dynamically directs users to the appropriate pages or content based on their subscription status, leveraging the integration of a CDN into the web application architecture. The paper thoroughly explores the implementation details, emphasizing the seamless interaction between the CDN and user authentication mechanisms, and investigates the routing algorithms employed to intelligently determine the most suitable content delivery path for each user type. Through comprehensive experimentation and evaluation, the research demonstrates the efficiency and scalability of the proposed approach. Various user scenarios are considered, and factors such as response time, resource utilization, and content availability are evaluated. The experimental results showcase the significant enhancement of the overall user experience achieved through the dynamic user routing mechanism, providing tailored content delivery while effectively managing resource allocation. The findings of this research contribute to the field of web application development, particularly in managing different user types and delivering personalized content. By effectively leveraging CDNs and implementing dynamic routing strategies, web applications can optimize user satisfaction, ensure efficient resource utilization, and accommodate varying user subscription models. This research offers valuable insights and practical implications for designing and implementing usercentric web applications that deliver customized experiences and efficiently allocate resources based on user types. The paper delves into the implementation details, highlighting the key components and functionalities of the proposed solution. It explores the integration of the CDN into the web application architecture, emphasizing the seamless interaction between the CDN and user authentication mechanisms. Additionally, it investigates the routing algorithms employed to intelligently determine the appropriate content delivery path for each user type.

Perancangan User Experience Aplikasi Android Konsultasi Skripsi dengan Metode User Centered Design

This research aims to design an Android application prototype using the User-Centered Design method, with a focus on evaluation through usability testing. The urgency of this research is driven by the importance of providing optimal user experiences in the development of Android applications, particularly in the context of thesis consultation applications, with the goal of enhancing user satisfaction and supporting business growth. The User-Centered Design method is employed as the primary approach in this research, involving steps such as user data collection, analysis, and iterative design based on user feedback. Usability testing is conducted through testing with users, aiming to identify issues and difficulties encountered by users while using the application. The usability testing process involved 5 participants, and the average test score obtained was 87.3. This test score indicates a very good level of usability. The results of this research are expected to provide valuable guidance for application developers in enhancing user experiences and better meeting user needs, ultimately achieving higher success.

메타버스를 위한 3D 디자인 시스템 분석 및 제안

This study defines the metaverse as a space where the real world and virtual space are converged, and analyzes and proposes a metaverse 3D design system to provide an optimized user experience. It compares and analyzes existing design systems. Based on Mike Wolfson's considerations, this paper derives the 3D design system for the metaverse. First, as a basic consideration, the name of each stage in the 3D design system hierarchy and design terms should use common terms. Presence should also be considered. Second, in the application and expansion of the existing design system, it is important to maintain consistency and unity by applying and extending design tokens and design components. Third, animation, camera, lighting, and audio are presented as unique specifications of the metaverse 3D design system. The 3D design system can optimize user experience by applying and extending the unique characteristics of the metaverse and the principles of existing design systems. It improves collaboration and efficiency and has scalability to apply to various metaverse environments.

Agile Design and AI Integration: Revolutionizing MVP Development for Superior Product Design

This paper delves into the integration of Artificial Intelligence (AI) into the design process of Minimum Viable Products (MVPs) to enhance efficiency, quality, and innovation. It particularly highlights the application and potential advantages of ChatGPT, a widely used natural language processing model, in MVP design. Firstly, the fundamental concepts and development of AI and ChatGPT are discussed. Subsequently, the potential benefits of ChatGPT are elucidated, including improved design efficiency, enhanced design quality and innovation, and optimized user experience. Furthermore, a ChatGPT-based framework for MVP design is proposed, encompassing key steps such as identifying target users and core functionalities, outlining product requirements, prototyping, user testing, and product launch. Lastly, the challenges and considerations associated with the application of ChatGPT are addressed, and future trends in AI technology for agile design are explored. Through the research and discussions presented in this paper, it is concluded that integrating AI into MVP design holds tremendous potential for enhancing design efficiency, optimizing design quality and innovation, and improving user experience. ChatGPT, as an advanced AI technology, provides designers with intelligent assistance and decision support, enabling them to better meet market demands, expedite product development cycles, and enhance product competitiveness. However, it is essential for designers to acknowledge the challenges associated with ChatGPT and adopt appropriate strategies to address them. Looking ahead, further advancements in AI technology and continuous learning and adaptation to emerging technologies by designers are anticipated, thus driving innovation and development in the field of agile design.

A Review onCloud Gaming

: The present paper mainly focuses on literature review of cloud gaming. cloud gaming model it emerges with the advancement of communication technologies and cloud computing. Moving towards PCs, smart phones consoles tablets, people can have opportunity to use the games via data streaming, despite of the computing power of devices. The Internet is the style of communication between the game, and device hosted on a cloud environment. The big data analytics models it is a having ability to work with these data, and provides inputs for predictive actions and assertive analysis. A technique is shown in this study to indicate and analyzing the players’ patterns in a virtual environment to optimize user experience. Using the visualization tools and Hadoop technology on a Cloud based cluster.

Contactless Real-Time Eye Gaze-Mapping System Based on Simple Siamese Networks

Human–computer interaction (HCI) is a multidisciplinary field that investigates the interactions between humans and computer systems. HCI has facilitated the development of various digital technologies that aim to deliver optimal user experiences. Gaze recognition is a critical aspect of HCI, as it can provide valuable insights into basic human behavior. The gaze-matching method is a reliable approach that can identify the area at which a user is looking. Early methods of gaze tracking required users to wear glasses with a tracking function and limited tracking to a small monitoring area. Additionally, gaze estimation was restricted to a fixed posture within a narrow range. In this study, we proposed a novel non-contact gaze-mapping system that could overcome the physical limitations of previous methods and be applied in real-world environments. Our experimental results demonstrated an average gaze-mapping accuracy of 92.9% across 9 different test environments. Moreover, we introduced the GIST gaze-mapping (GGM) dataset, which served as a valuable resource for learning and evaluating gaze-mapping techniques.

P170 Identifying predictors of axial spondyloarthritis flare onset using daily patient-reported data collected via a smartphone app

Abstract Background/Aims Smartphone apps for self-tracking symptoms and behaviour can offer novel insights into axial spondyloarthritis (axSpA) self-management and the experience of flares. Previous studies have predicted weekly flare occurrence in axSpA using physical activity data, and weekly flare occurrence in other rheumatic diseases using symptom data. However, no study has yet used daily flare, symptom and behaviour data to predict flare onset. The aims of this study were to examine the association between daily self-reported symptom and behaviour data with axSpA flare onset using data collected via a smartphone app. Methods A secondary analysis of 136 participants (Mage=52, 70% male) used clinical data collected at the Royal United Hospital for Rheumatic Diseases (Bath) and daily self-tracking data collected via the Project Nightingale smartphone app from 2018-21. Self-tracking data for 8 daily and 13 optional symptoms were scored on a 5-point scale. Participants recorded daily whether an axSpA flare started, continued, stopped or there was no flare. Paired t-tests were used to examine differences in symptoms during flare compared to non-flare days. A mixed effects binary logistic regression model was computed, with flare onset as the binary outcome, participant ID as the random effect, and the change (difference) in each symptom score from the preceding day as fixed effects. Odds ratios (OR) are reported to indicate the increased likelihood of flare onset given a one-point change in symptom score. Results Periods of flare were associated with greater anti-inflammatory use, lower confidence in self-management, more fatigue, worse mood, more pain, reduced exercise, worse sleep quality, and greater stress (p<.001), and lower adherence, more frequent chest pain, more hot flushes and greater impact of the menstrual cycle (p<.01) compared to periods without flare. The predictive model found that changes in certain symptoms and behaviours from the day preceding flare were associated with higher likelihood of flare onset: increased pain score (OR = 3.13, 95% CI [2.70, 3.70]), fatigue score (OR = 1.28, 95% CI [1.15, 1.43]) and anti-inflammatory use (OR = 1.25, 95% CI [1.08, 1.45]), and decreased amount of exercise (OR = 1.16, 95% CI [1.05, 1.30]). Conclusion This is the first study to use daily flare and symptom data to predict flare occurrence. Increases in pain, fatigue and anti-inflammatory use and decreased exercise from the day preceding flare significantly increased the likelihood of flare onset. Potential future integration of predictive flare features into smartphone apps for disease self-management could contribute to more effective prevention and targeting of imminent flares, to enhance individuals’ self-efficacy, disease outcomes and quality of life. Critically, such app development will require consideration of the needs and perspectives of people living with axSpA for optimal user experience. Disclosure A. Kypta-Vivanco: None. R. Barnett: None. R. Sengupta: Honoraria; Dr. Raj Sengupta has received honoraria or consultancy fees from Abbvie, Biogen, Novartis, Celgene, Lilly, Chugai, MSD and UCB. Grants/research support; Dr. Raj Sengupta has received grants/ research support from AbbVie, Celgene, Novartis and UCB. Other; Dr Raj Sengupta is also on the advisory boards for AbbVie, Biogen, Chugai, Lilly, Novartis and UCB.