Experience Design Research Articles

Convergence of Conversational AI with IoT and AR/VR: A systematic review of emerging applications and industry transformations

Integrating conversational AI with emerging technologies fundamentally transforms human-computer interaction across multiple sectors and applications. This article comprehensively analyzes how conversational AI converges with the Internet of Things (IoT) and Augmented Reality/Virtual Reality (AR/VR) technologies to create more intuitive, responsive, and immersive user experiences. By systematically examining current implementations, we explore the synergistic relationships between these technologies in smart environments, healthcare systems, industrial operations, and educational platforms. The article reveals that while this technological convergence offers unprecedented opportunities for automation, personalization, and enhanced user engagement, it also presents significant challenges regarding system integration, data privacy, and security. The findings indicate that successful implementation requires careful consideration of infrastructure requirements, user experience design, and privacy frameworks. This article contributes to the growing body of knowledge on multi-modal technology integration. It provides insights for researchers, developers, and industry practitioners working towards the next generation of intelligent interactive systems. The article concludes by identifying critical areas for future research and development in this rapidly evolving field.

Toolkit for Inclusion of User Experience Design Guidelines in the Development of Assistants Based on Generative Artificial Intelligence

This study addresses the need to integrate ethical, human-centered principles into user experience (UX) design for generative AI (GenAI)-based assistants. Acknowledging the ethical and societal challenges posed by the democratization of GenAI, this study developed a set of six UX design guidelines and 37 recommendations to guide development teams in creating GenAI assistants. A card-based toolkit was designed to encapsulate these guidelines, applying color theory and Gestalt principles to enhance usability and understanding. The design science research methodology (DSRM) was followed, and the toolkit was validated through a hands-on workshop with software and UX professionals, assessing usability, user experience, and utility. The quantitative results indicated the high internal consistency and effectiveness of the toolkit, while the qualitative analysis highlighted its capacity to foster collaboration and address GenAI-specific challenges. This study concludes that the toolkit improves usability and utility in UX design for GenAI-based assistants, though it identifies areas for future enhancement and the need for further validation across varied contexts.

How Does Generation Z Imagine the Future of “Laundry Care” Experiences? A Scenario-Based Exploration of User Expectations

Amid the rapid evolution of technology, Generation Z, as digital natives, the unique perspectives have continually presented human–computer interaction research with challenges and innovation. This study aims to explore the expectations of Generation Z regarding the future “laundry care” experiences using mixed methods. The scenario-building approach and participatory experiments were used to elicit user expectations. The results revealed six dimensions of expected “laundry care” experiences. Additionally, expert designers were invited to subjectively evaluate the expectation themes, and the importance and prioritization of the user expectations were determined. The evaluations by expert designers also revealed consensus and differences in priorities and importance between designers and Generation Z. The significance of this study lies in the valuable insights into the expectations of Generation Z, offering implications and recommendations for innovation and experience design in future “laundry care.” The results provide a valuable design framework to guide designers and product developers.

Implementation of an information system for tuberculosis in healthcare facilities in Indonesia: evaluation of its effectiveness and challenges

BackgroundTuberculosis (TB) surveillance in Indonesia is currently supported by the recording and reporting technology Tuberculosis Information System (Sistem Informasi Tuberkulosis [SITB]). SITB is used by all health workers responsible for TB programs in health facilities or hospitals throughout Indonesia. The satisfaction and ease of use of SITB affect the speed and accuracy of TB case reporting. Therefore, evaluating the information system’s quality is crucial. SITB utilization is comprehensively assessed using the End-User Computing Satisfaction (EUCS) method, which considers the dimensions of content, accuracy, timeliness, and ease of use. Furthermore, the effectiveness of the user interface using heuristic evaluation methods is critical. The primary objective of this study is to conduct a comprehensive evaluation of the System for Information on Tuberculosis (SITB) focusing on its usability and user satisfaction.MethodsThis study employed a multi-method design approach. First, a heuristic evaluation was conducted by three expert user experience designers. Second, a cross-sectional survey of 115 SITB users was carried out across all health facilities in the Special Region of Yogyakarta, Indonesia, for reporting TB cases, using the EUCS method. Finally, in-depth interviews were conducted in 10 health facilities, focusing on identifying specific attributes that needed improvement to enhance user satisfaction.ResultsThe evaluation indicated that user convenience and timeliness require improvement, as well as the match between the system and the real world and error prevention, as shown in the heuristic evaluation of the SITB user interface. These findings were confirmed through interviews that identified the need for user manuals, server repairs, and information and SITB forms that are suitable for TB management in the field. The overarching assessment of the SITB reveals persistent challenges in data entry, attributed to the functionality of the application, thereby potentially impacting user satisfaction.ConclusionsSITB application requires “major” improvements to make recording, reporting, and tracing activities more efficient and precise. Moreover, the integration of existing information systems in healthcare facilities is essential to support the tuberculosis surveillance reporting system in Indonesia.

실제 맥락에서의 학습전이에 관한 민속방법론적 연구: 미디어 리터러시 수업 사례 분석

Objectives This study aims to understand learning experiences in real contexts as a core learning science inquiry topic regarding embodiment and transfer in learning. Methods This study relied on ethnomethodology (EM) as a learning science research method on learning experiences in real contexts. EM opened up the possibility of systematic observation and analysis of embodied experiences and situated learning through qualitative analysis of the composition of real-time situational contexts created by the interaction between agents and practical reasoning and behavior, thereby providing an important research methodology for learning science. EM played an important role in exploring how learners’ internal understanding of concepts they encounter is expressed and changed in the process of embodiment, that is, interaction. The subject of analysis in this study was a 16-hour media literacy class conducted at the graduate school of H University. Results First, transfer in learning has a dynamic characteristic that continuously appears throughout the learning process. Second, transfer appears in the process of interacting with various factors and recognizing situations to utilize knowledge. Third, transfer is not simply applying knowledge, but is achieved through the process of reconstructing and deeply understanding knowledge in various situations. Conclusions Transfer in learning is created in the process of integrating knowledge through continuous interaction between participants. In other words, transfer is created in the process of the flow of situational context, which is the interaction with various factors experienced to utilize knowledge. The teaching strategy that promotes transfer can be viewed as a role that maximizes the room for learners to choose their own judgment and actions by opening a space for participation where they can use all the resources that they can take in their own context, including the knowledge. In future research on the design of learning experiences, it is necessary to pay attention to the dynamic conditions and settings of the flow of micro-contexts created by the situational inference and actions revealed by the interaction between agents, which are important key points of learning design.

Artificial intelligence and network science as tools to illustrate academic research evolution in interdisciplinary fields: The case of Italian design.

In this paper, we explore the application of Artificial Intelligence and network science methodologies in characterizing interdisciplinary disciplines, with a specific focus on the field of Italian design, taken as a paradigmatic example. Exploratory data analysis and the study of academic collaboration networks highlight how the field is evolving towards increased collaboration. Text analysis and semantic topic modelling identified the evolution of research interest over time, defining a ranking of pairs of keywords and three prominent research topics: User-Centric Experience Design, Innovative Product Design and Sustainable Service Design. Our results revealed a significant transformation in the field, with a shift from individual to collaborative research, as evidenced by the increasing complexity and collaboration within groups. We acknowledge the limitations faced by this work, suggesting that the methodology may be primarily suitable for bibliometric and more silos-like disciplines. However, we emphasize the urgency for the scientific community to address the future of research not indexed by large open-access databases like OpenAlex.

Developing and Facilitating a Workplace Communication Workshop for Engineering Student Interns: Implications for Practice

In this paper, Engeström’s third-generation activity theory (AT; 2001) is adopted as an analytic tool to analyze a workplace communication workshop for engineering students and an experienced educator’s cognition and practices. Curricular elements of the workshop and the educator’s pedagogical approach are analyzed together with the motivation for a specific learning experience design and the rationale for adopting such practices. AT served as an invaluable analytic lens for our reflection on the workshop’s design, its activities, and the educator’s cognition and practices. This reflection provides a worked sample for AT-based reflective practice and strategies for developing workplace communication workshops. It is concluded that by using AT as an analytic tool for reflection, educators can effectively reflect upon and analyze their course design and teaching practices, thereby externalizing their knowledge, skills, and attitudes. Educators can develop their expertise through such a reflective process and create more engaging and effective courses. We also recommend that AT be adopted as an analytic tool in reflective practice modules in communication teacher education and training programs to enable prospective and novice teachers to engage in reflective practice and purposefully develop their teaching expertise throughout their careers.

Perancangan Desain UI/UX Website E-Learning Berbasis Learning Management System dengan Metode Design Thinking

This research aims to develop a user interface (UI) and user experience (UX) design for a Learning Management System (LMS)-based e-learning platform for the Central Language Improvement (CLI) community at the Islamic University of Indonesia using the Design Thinking method. Following the empathize, define, ideate, prototype, and testing stages, this research involved administrators, mentors, and students in the development process. Data collection was conducted through direct observation and interviews, followed by analysis using user personas and mind mapping. Usability testing results showed good acceptance levels with Maze scores for Admin (75), Mentor (89), and Students (83), and a System Usability Scale (SUS) score of 75.2 indicating an "Acceptable" category with a "Good" rating. This research successfully produced a UI/UX design that meets user needs in supporting the learning process in the CLI UII community, with recommendations for further development on the admin interface and implementation of learning monitoring features.

Gamifying urban nature experiences

Nature experiences are important drivers of environmental awareness and responsibility, as literature has shown that people who feel a greater connectedness with nature tend to be more active in conservation action. Despite this, recent studies have shown that nature contact within urban space is in decline, which has led scholars to call for novel ways to reconnect urban dwellers with nature. With this in mind, this paper explores the potential of gamification to co-create engaging and immersive experiences of urban nature, following the insight that the sensory and emotional dimensions of nature experiences are crucial for the development of nature connectedness and conservation awareness. We draw on a qualitative study on the emotional experience of a mixed-reality narrative developed for an historical botanical garden in Lisbon, in which game elements, namely treasure-hunting and rewards, are integrated into an urban nature experience. The study devised a methodology inspired by non-representational and creative methodologies, which comprised a series of performative workshops aimed to understand the emplaced emotional and sensory connections with the environment during the experience of the gamified mixed-reality narrative. Our findings allowed us to understand how gamification techniques in urban nature experiences can stimulate nature connectedness by encouraging sensory contact and appreciation of beauty, and promote environmental responsibility by emphasizing conservation issues. We conclude the paper by discussing the possibilities of further applications of gamification within the design of urban nature experiences.

THIN OVERLAYS OF STEEL FIBER REINFORCED CONCRETE AND CONTINUOUSLY REINFORCED CONCRETE STATE OF THE ART IN BELGIUM

In Belgium, resurfacing of existing roads with cement concrete has been a common practice for over a decade, with approximately 500 km of roads overlaid with continuously reinforced concrete pavement (CRCP). This interest expanded to include thin resurfacings (<15 cm) of steel fibrous reinforced concrete (SFRC) and thin continuously reinforced concrete (TCRCP) due to the advantages offered by steel fibrous reinforced concrete in terms of lower fiber content and better incorporation possibilities. Experimental sections constructed since 1982, covering nearly 25 km of roads, have explored the use of SFRC and TCRCP overlays on both old concrete and bituminous pavements. The study reveals promising outcomes for thin overlays in SFRC, particularly when applied over bituminous underlayers, showcasing remarkable and durable bond strength. The best results were achieved with new leveling courses with an overall open structure. On old concrete pavements, achieving an adequate bond is crucial for success, necessitating intensive roughening of the existing surface. Grout application showed minimal improvement in bond strength. TCRCP overlays, particularly those with a thickness of 14 cm, demonstrated satisfactory performance with no significant issues. Utilizing welded-wire fabric for reinforcement can offer cost savings and facilitate construction under traffic conditions. This research, conducted with financial assistance from the IRSIA organization and supervised by a Working Party chaired by Prof. dr. ir. F. Van Cauwelaert, aims to establish practical guidelines for thin resurfacing and explores the relationship between empirical experience and thickness design computations. The study underscores the potential of thin concrete resurfacings in the rehabilitation of the Belgian road network, emphasizing careful consideration of bond strength and overlay thickness for successful implementation. (Abstract generated by AI tool ChatGPT 4)

Expert Consensus on Developing Information and Communication Technology-Based Patient Education Guidelines for Rheumatic Diseases in the Korea.

This study aimed to identify key priorities for the development of guidelines for information and communication technology (ICT)-based patient education tailored to the needs of patients with rheumatic diseases (RDs) in the Republic of Korea, based on expert consensus. A two-round modified Delphi study was conducted with 20 rheumatology, patient education, and digital health literacy experts. A total of 35 items covering 7 domains and 18 subdomains were evaluated. Each item was evaluated for its level of importance, and the responses were rated on a 4-point Likert scale. Consensus levels were defined as "high" (interquartile range [IQR] ≤ 1, agreement ≥ 80%, content validity ratio [CVR] ≥ 0.7), "Moderate" (IQR ≥ 1, agreement 50-79%, CVR 0.5-0.7), and "Low" (IQR > 1, agreement < 50%, CVR < 0.5). Strong consensus was reached for key priorities for developing guidelines in areas such as health literacy, digital health literacy, medical terminology, user interface, and user experience design for mobile apps. Chatbot use and video (e.g., YouTube) also achieved high consensus, whereas AI-powered platforms such as ChatGPT showed moderate-to-high agreement. Telemedicine was excluded because of insufficient consensus. The key priorities identified in this study provide a foundation for the development of ICT-based patient education guidelines for RDs in the Republic of Korea. Future efforts should focus on integrating digital tools into clinical practice to enhance patient engagement and improve clinical outcomes.

Artificial Intelligence Applications in Behavioral Analysis for Advancing User Experience Design

Artificial Intelligence Applications in Behavioral Analysis for Advancing User Experience Design

The Impact of Artificial Intelligence AI in Enhancing Experience Design of Physical Products

The Impact of Artificial Intelligence AI in Enhancing Experience Design of Physical Products

How telepresence and perceived enjoyment mediate the relationship between interaction quality and continuance intention: Evidence from China Zisha-ware Digital Museum.

The rapid development of digital technologies and the diversification of user needs have made digital museums significant platforms for cultural dissemination and education, attracting unprecedented attention. This study aims to investigate how interaction quality influences users' psychological responses and their continuance intention to use digital museums. By integrating the Stimulus-Organism-Response (S-O-R) model and telepresence theory, this study proposes a novel model to examine users' continuance intention. A questionnaire survey of visitors to the China Zisha-ware Digital Museum (CZDM) yielded 414 valid responses, which were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that: 1) The interaction quality of digital museums (i.e., interactivity, vividness, and authenticity) and users' psychological responses (i.e., telepresence, perceived enjoyment) significantly affect users' continuance intention to varying degrees. 2) Telepresence significantly mediates the relationship between interaction quality and continuance intention. 3) Perceived enjoyment serves as an important mediator between interactivity, vividness, and continuance intention, while its mediating role between authenticity and continuance intention is not significant. This study offers theoretical and practical insights for optimizing digital museum user experience design to enhance continuance intention, while also promoting the dissemination of digital culture and supporting educational efforts.

Conceptualizing Meaningful Experiences

Despite increased interest in experience and experience design in hospitality, tourism, and leisure, the field remains emergent. For experience design to mature in research and practice, clear consensus conceptualization of key constructs, like memorable, meaningful, and transformative experiences, is needed. While existing research identifies emotions as the key to memorable experiences, more conceptual work is needed to understand the unique impact and process behind meaningful experiences. This paper proposes an expanded conceptualization of the impact and process associated with meaningful experiences. We suggest that as individuals reflect on existing experiential (i.e., autobiographical) memories, they can extract insight from those memories. If any of the extracted insights connect with core sources of meaning, then the individuals perceive their experience as meaningful. Suggestions for potential strategies to design for meaningful experiences are also shared.

인공지능을 활용한 데이터 기반 가상 사용자를 활용한 참여적 디자인 연구 - 중국 피트니스 앱 KEEP을 중심으로

In the era of digital transformation, artificial intelligence is playing an increasingly important role in optimizing user experience and interaction design. This study proposes a method using artificial intelligence to create data-based virtual users and integrate these virtual users into the participatory design process to plan and produce products that better meet user needs. This approach reduces the time and cost of traditional user research, decreases researcher bias, and more accurately reflects the true characteristics and needs of diverse user groups. The study uses China's fitness app Keep as a case study, utilizing artificial intelligence to collect and organize quantitative and qualitative data, and creates three typical virtual users representing healthy, overweight, and underweight user groups. These virtual users participated in the UI design process, and feedback and requirements from the virtual users provided design improvement solutions for layout, interaction efficiency, and personalized features. Comparative analysis and user surveys have verified that participatory design based on virtual users created with artificial intelligence is effective in improving user experience. The methods proposed in this study are expected to further disseminate user-centered design and enhance the quality of design.

The Influence of Anthropomorphism and Presence on the Acceptance Intention of Makeup Image Optimization Recommendation Systems Utilizing Deep Learning Technology: Focusing on the Mediating Effect of Cognitive Absorption

This study was conducted to understand the relationship between HCI (Human-Computer Interaction) factors, user cognitive absorption, and acceptance intention in makeup image optimization recommendation systems. A preliminary survey and main survey were carried out targeting adults in their twenties, and various statistical methods including frequency analysis, exploratory and confirmatory factor analysis, and structural equation modeling were used to analyze the data using SPSS and AMOS programs. The results of the study confirmed that the survey items consistently and reliably measured each variable through reliability and validity analysis, and the model’s high fit was proven through principal component analysis and confirmatory factor analysis. Correlation analysis showed significant positive relationships between all variables, and most paths in hypothesis testing through structural equation modeling were statistically significant. In particular, a significant partial mediating effect was found in the path where anthropomorphism affects acceptance intention mediated by curiosity. This means that HCI factors such as anthropomorphism and presence positively influence the acceptance intention of the recommendation system through various aspects of cognitive absorption, such as user engagement, temporal dissociation, curiosity, and pleasure. These results provide important implications for user-centered service design and improvement, suggesting that it is possible to move towards increasing user satisfaction and loyalty by accurately reflecting individual user needs and preferences. Additionally, the findings promote a deeper understanding of technological innovation in the beauty industry and user experience design, laying the foundation for effective user-centered service development.

From commerce to art: Transformation of intervention through the interactions of virtual and urban space in Karaköy

Having been subject to various spatial interferences amid rapid urbanization, Karaköy is one of Istanbul’s central neighbourhoods whose identity has significantly transformed in the last years. This paper focuses on Karaköy’s streets which were once the centre of trade, have now been replaced by artistic collective constructs. The study aims to document this transformation, considering various physical and social aspects of urban space, while highlighting a new form of “urban intervention” through virtual spaces. It questions how virtual environments can be considered as a mode of intervention in urban space and delves into the transitions from ordinary commerce places to artistic urban spaces. Validating user-space interaction, the technological interference of social networks with physical space creates virtual centres of attraction, improving the popularity of places. The field research focuses on the environs of Tersane Avenue, Mumhane Avenue and Ali Paşa Değirmeni Street in Karaköy, attending to spaces where commerce once took place –now replaced by artistic collective constructs and articulations. Captured virtual-spatial interventions are operationalized in three stages: First, functional transformations are analysed at the street-scale. This is followed by analyzing images and quantitative data extracted from social network databases. Finally, the up-to-date spatial analyses are constructed, and the intersections of virtual and urban spaces are evaluated. Findings show that the user experience and pleasure-based design elements bear the interaction between virtual and urban space, additionally, the virtual-spatial intervention encompasses the transformation of urban space beyond conventional practices aimed at structural and functional change.

ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING UI/UX DESIGN FOR DEVELOPING GREEN AND SUSTAINABLE SOFTWARE APPLICATIONS: A MULTIVOCAL LITERATURE REVIEW PROTOCOL WITH PRELIMINARY RESULTS

One of the critical phases in software development that must be done accurately is the design of the user interface and user experience design. The way in which users are involved with a system is predominantly shaped by two essential elements: user interface (UI), which refers to the look and feel of the product, and user experience (UX), which encompasses the entire process of the interaction by the user. Our study focuses on the relationship between sustainability and UI/UX design, examining how these design components can be used to create environmentally friendly software with little negative effects on the environment. This protocol describes how factors and principles of sustainable UI/UX design can be ascertained systematically with a special focus on the use of AI in green software engineering. This paper investigates sustainable UI/UX by reviewing literature through a Multivocal literature review (MLR), followed by empirical validation with UX practitioners and researchers. Some specific interesting fields to work are the concept of less but better, energy saving, and AI approaches to the problem. The outcomes are intended as a pathway to a more environmentally responsible design to help researchers and practitioners. Objectives: The objectives of this study is to find key factors and principles of UI/UX design that help in making software more eco-friendly, study the role of AI in enhancing UI/UX design, and explore AI-based practices that contribute to sustainable software development.

"Sometimes I just wanna be outside": A qualitative analysis of experiences with accessing community greenspace among people living with chronic mobility disability.

Exposure to nature is associated with better mental health in the general population, but prior evidence suggests that people living with severe, chronic mobility impairment from paralysis due to spinal cord injury (SCI) may not experience similar benefits. Since many people living with SCI use wheelchairs and other medical devices for mobility, further exploration of how people living with mobility disability experience greenspace is needed to achieve equity in access to all public places. We assessed experiences with accessing greenspace reported in a sample of people living with chronic SCI and the meanings they ascribe to these experiences for their health and quality of life. A thematic content analysis of the qualitative interview data from a mixed-methods study of community activity patterns among adults with SCI was conducted. Three major themes emerged: important accessibility features, strategies used to enable access, and psychosocial consequences of greenspace accessibility. These results suggest that people living with chronic mobility impairment have unmet needs for outdoor recreation that can be addressed through urban planning approaches that prioritize input from people with lived disability experience and universal design for creating equitable greenspace access, as well as ongoing policy work that aims to expand access to assistive technology needed for outdoor community activities.