Filtered by themeUser engagement16 papersclear ✕

Harnessing AI potential in E-Commerce: improving user engagement and sales through deep learning-based product recommendationsZhang · 2024Artificial intelligence (AI) has become a game-changing influence in e-commerce, reshaping the way businesses inter­ act with customers and increasing operational efficiency. In today’s digital era, AI technologies are being progressively embedded into e-commerce platforms to enhance the user experience, improve processes, and drive business growth. One of the primary areas where AI demonstrates its potential is in personalized product recommendations. This study explores the development of AI-driven recommendations regarding product design, sales, and customer experience in e-commerce environments. The research employs a quantitative approach to explore how AI technologies can enhance various facets of online retail. Using purposive sampling, 439 consumers and 356 sellers from diverse regions of China participated in an online survey designed to gather insights into their interactions with AI-driven recommendations. Data analysis was rigorously conducted using Lisrel 10.20 and Smart PLS 3 software, focusing on validating hypotheses related to AI’s influence on consumer behavior and business outcomes. Key findings include AI’s significant role in boosting productiv­ ity, enhancing sales figures, and enriching consumer experiences through personalized recommendations. This research provides a deeper insight into AI’s potential in e-commerce and provides recommendations for businesses focused on using AI technology to increase user engagement and increase sales in digital marketing.

UX of AI & PersonalizationResearch Papers

Computers in Human Behavior Reports2024Computers have gone from being a workplace tool to something we carry in our pockets. This explosion of technological growth has been supported by HCI researchers and product designers as they strive to predict and meet user needs by studying user intentions toward, and experiences with, technology to improve usability. However, psychological research shows that device usage does not come without a psychological cost to the user, an impact apparently under-considered in HCI research. We surveyed users (n = 211) on their feelings about their experiences with different aspects and types of technology when the technology performed contrary to expectations. We found that technology that was frustrating to use or performed below expectations led to users reporting more negative feelings towards their use of the technology. Findings indicate that the user experience could be improved by considering user frustration and feelings towards technology in the design process. Funding sources This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

UX of AI & PersonalizationResearch Papers

Designing Safe and Engaginf AI Experiences for Children - Towards the Definition of Best Practices in UIUX designGrazia Ragone, Paolo Buono, Rosa Lanzilotti · 2024This workshop proposal focuses on best practices in UI/UX design for AI applications aimed at children, emphasising safety, engagement, and ethics. It aims to address the challenge of measuring the safety, trustworthiness, and reliability of interactions between children and AI systems. Through collaborative discussions, participants will explore effective design strategies and ethical guidelines while developing methodologies for assessing the safety and reliability of AI interactions with children. This proposal seeks to foster responsible and child-centered AI design practices within the CHI community.

UX of AI & PersonalizationResearch Papers

Analyzing behavioral intentions toward Generative Artificial Intelligence: the case of ChatGPTDongyan Nan · 2024Generative artificial intelligence (AI) is an innovative AI technology that has garnered considerable attention worldwide. This study aimed to facilitate the development of such technologies by examining the factors affecting individuals’ inten­ tions toward generative AI (e.g., ChatGPT). Concretely, we developed a causal model by extending the expectation confirmation model with information system success theory, privacy concerns, and perceived innovativeness. Then, we tested the model by analyzing survey-based data from 252 Korean ChatGPT users. As a result, we found that anteced­ ent variables -information quality, system quality, privacy concerns, and perceived innovativeness- play notable roles in affecting users’ intentions to continually use and recommend generative AI ChatGPT. Overall, the current research is one of the first attempts to track the variables influencing individuals’ intentions to continually use and recommend in the context of generative AI ChatGPT.

UX of AI & PersonalizationResearch Papers

Utilizing emotion recognition technology to enhance user experience in real- timeYuanyuan Xu · 2024In recent years, advancements in human-computer interaction (HCI) have led to the emergence of emotion recognition technology as a crucial tool for enhancing user engagement and satisfaction. This study investigates the application of emotion recognition technology in real-time environments to monitor and respond to users’ emotional states, creating more personalized and intuitive interactions. The research employs convolutional neural networks (CNN) and long short-term memory networks (LSTM) to analyze facial expressions and voice emotions. The experimental design includes an experimental group that uses an emotion recognition system, which dynamically adjusts learning content based on detected emotional states, and a control group that uses a traditional online learning platform. The results show that real-time emotion monitoring and dynamic content adjustments significantly improve user experiences, with the experimental group demonstrating better engagement, learning outcomes, and overall satisfaction. Quantitative results indicate that the emotion recognition system reduced task completion time by 14.3%, lowered error rates by 50%, and increased user satisfaction by 18.4%. These findings highlight the potential of emotion recognition technology to enhance user experiences. However, challenges such as the complexity of multimodal data integration, real-time processing capabilities, and privacy and data security issues remain. Addressing these challenges is crucial for the successful implementation and widespread adoption of this technology. The paper concludes that emotion recognition technology, by providing personalized and adaptive interactions, holds significant promise for improving user experience and offers valuable insights for future research and practical applications.

UX of AI & PersonalizationResearch Papers

Toward an Interactive Reading Experience: Deep Learning Insights and Visual Narratives of Engagement and EmotionJayasankar Santhosh, Akshay Palimar Pai et al. · 2024Engagement and emotion are critical components that significantly influence a reader’s experience during a reading task. Despite the crucial role of engagement and emotions in shaping our reading experience, accurately tracking these dynamic states during actual reading remains a significant challenge. This study bridges this gap by detecting engagement and emotion levels during a reading task by leveraging the power of state-of-the-art deep learning models and investigating the correlations between the engagement levels and emotions. An experiment was conducted involving 18 university students reading 14 documents followed by a questionnaire to rate their levels of engagement, valence, and arousal after reading each document. A Tobii 4C eye-tracker with a pro license along with an Empatica E4 wristband were utilized to record behavioral and physiological data from the participants. A range of deep learning models were utilized for computing the engagement, valence, and arousal values, employing both user-independent and user- dependent methods. Our investigation revealed distinct yet complementary strengths in two deep learning models: Transformer excelled in user-independent detection of engagement and emotion with an accuracy of 80.38% (engagement), 71.28% (arousal) and 73.98% (valence) while ResNet shined in the user-dependent setting with an accuracy of 93.56% (engagement), 90.62% (arousal) and 88.70% (valence) which highlights the interplay between individual differences and reading dynamics. Intriguingly, we observed strong, document-specific correlations between engagement and emotion states, suggesting that different texts evoke unique affective responses. We developed an interactive dashboard visualizing predicted engagement and emotions, offering real-time feedback and personalized learning possibilities. The dashboard features an engagement gauge that displays the reader’s level of engagement based on predicted class probabilities, and an emotion emoji serving as a visual cue that illustrates the predicted emotional state of the reader. This technology can inform the design of dynamic interfaces that adjust to individual reading styles and emotional responses, potentially enhancing comprehension and involvement. INDEX TERMS Digital reading, physiological sensing, eye tracking, deep learning, affective state.

UX of AI & PersonalizationResearch Papers

Roles of artificial intelligence experience, information redundancy, and familiarity in shaping active learning: Insights from intelligent personal assistantsWang, Sun · 2023Artificial Intelligence (AI) is increasingly being integrated into educational settings, with Intelligent Personal Assistants (IPAs) playing a significant role. However, the psychological impact of these AI assistants on fostering active learning behaviors needs to be better understood. This research study addresses this gap by proposing a theoretical model to outline and predict active learning dynamics. Data was col- lected from 237 validated questionnaires and analyzed using partial least squares structural equation modeling. Our results confirm most hypotheses advanced in our model, and information redundancy has an unexpected negative and indirect influ- ence on active learning, while perceived familiarity and system quality are positive drivers. Crucial mediators such as perceived usefulness, ease of use, and conveni- ence significantly positively influence active learning outcomes. Interestingly, the relationship between perceived ease of use, perceived convenience, and active learn- ing is positively moderated by AI experience. The most striking and unexpected finding of this study is the preference of university students for familiar systems over high-tech learning methods. This result challenges the common belief that the younger generation is always eager to adopt the latest technology. Instead, our find- ings suggest that students value convenience and familiarity over novelty in learn- ing systems. This preference is reflected in their systematic evaluation, where con- venience and familiarity are considered top priorities. This study provides valuable insights into the potential of AI to enrich the learning experience, thus making it especially relevant to professionals interested in artificial intelligence in interna- tional business education.

UX of AI & PersonalizationResearch Papers

Choice-based Personalization in MOOCs: Impact on Activity and Perceived ValueIlana Ram · 2023Personalization in education describes instruction that is tailored to learners’ inter­ ests, attributes, or background and can be applied in various ways, one of which is through choice. In choice-based personalization, learners choose topics or resources that fit them the most. Personalization may be especially important (and under- used) with diverse learners, such as in a MOOC context. We report the impact of choice-based personalization on activity level, learning gains, and satisfaction in a Climate Science MOOC. The MOOC’s learning assignments had learners choose resources on climate-related issues in either their geographic locale (Personalized group) or in given regions (Generic group). 219 learners completed at least one of the two assignments. Over the entire course, personalization increased learn­ ers’ activity (number of course events), self-reported understanding of local issues, and self-reported likelihood to change climate-related habits. We found no differ­ ences on assignment completion rate, assignment length, and self-reported time-on- task. These results show that benefits of personalization extend beyond the original task and affect learners’ overall experience. We discuss design and implications of choice-based personalization, as well as opportunities for choice-based personaliza­ tion at scale.

UX of AI & PersonalizationResearch Papers

Adaptive user modelling in car racing games using behavioural and physiological dataTheodosis Georgiou, Yiannis Demiris · 2015Personalised content adaptation has great potential to increase user engage- ment in video games. Procedural generation of user-tailored content increases the self-motivation of players as they immerse themselves in the virtual world. An adap- tive user model is needed to capture the skills of the player and enable automatic game content altering algorithms to fit the individual user. We propose an adaptive user modelling approach using a combination of unobtrusive physiological data to iden- tify strengths and weaknesses in user performance in car racing games. Our system creates user-tailored tracks to improve driving habits and user experience, and to keep engagement at high levels. The user modelling approach adopts concepts from the Trace Theory framework; it uses machine learning to extract features from the user’s physiological data and game-related actions, and cluster them into low level primi- tives. These primitives are transformed and evaluated into higher level abstractions such as experience, exploration and attention. These abstractions are subsequently used to provide track alteration decisions for the player. Collection of data and feed- back from 52 users allowed us to associate key model variables and outcomes to user responses, and to verify that the model provides statistically significant decisions per- sonalised to the individual player. Tailored game content variations between users in our experiments, as well as the correlations with user satisfaction demonstrate that our algorithm is able to automatically incorporate user feedback in subsequent procedural content generation. B Theodosis Georgiou theodosis.georgiou08@imperial.ac.uk Yiannis Demiris y.demiris@imperial.ac.uk 1 Personal Robotics Laboratory, Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, South Kensington, London SW7 2BT, UK 123 268 T. Georgiou, Y. Demiris

UX of AI & PersonalizationResearch Papers

CONSUMER ACCEPTANCE AND USE OF INFORMATION TECHNOLOGY: EXTENDING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGYViswanath Venkatesh · 2012This paper extends the unified theory of acceptance and use of technology (UTAUT) to study acceptance and use of technology in a consumer context. Our proposed UTAUT2 incorporates three constructs into UTAUT: hedonic motivation, price value, and habit. Individual differences—namely, age, gender, and experience—are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. Results from a two-stage online survey, with technology use data collected four months after the first survey, of 1,512 mobile Internet consumers supported our model. Compared to UTAUT, the extensions proposed in UTAUT2 produced a substantial improvement in the variance explained in behavioral intention (56 percent to 74 percent) and technology use (40 percent to 52 percent). The theoretical and managerial implications of these results are discussed.

UX of AI & PersonalizationResearch Papers

Library and Information Science ResearchMaja Kuhar, Tanja Merˇcun · 2022In the field of digital libraries, research on user experience is sparse, especially in terms of emotions, impressions, and stimulation evoked by interaction with the digital library. Given the many different methods and tools available for assessing user experience, two questionnaires and eye-tracking were explored to see how each can contribute to understanding user experience in digital libraries. An eye-tracking study with 30 participants was carried out using two digital libraries. Analysis of the questionnaires revealed that overall, one digital library was experienced more positively, with the difference most evident in the hedonic quality. The eye-tracking data revealed different gaze patterns in the two digital libraries, with significant difference in measure values particularly on the search boxes. When eye-tracking was combined with the questionnaire data, several corre­ lations were found, indicating that the search box position and the intuitiveness of the homepage had an impact on the user experience.

Emotional DesignResearch Papers

A review of immersive virtual reality serious games to enhance learning and trainingDavid Checa, Andres Bustillo · 2020The merger of game-based approaches and Virtual Reality (VR) environments that can enhance learning and training methodologies have a very promising future, reinforced by the widespread market-availability of affordable software and hardware tools for VR-environ- ments. Rather than passive observers, users engage in those learning environments as active participants, permitting the development of exploration-based learning paradigms. There are separate reviews of VR technologies and serious games for educational and training purposes with a focus on only one knowledge area. However, this review covers 135 proposals for serious games in immersive VR-environments that are combinations of both VR and serious games and that offer end-user validation. First, an analysis of the forum, nationality, and date of publication of the articles is conducted. Then, the application domains, the target audience, the design of the game and its technological implementation, the performance evaluation proce- dure, and the results are analyzed. The aim here is to identify the factual standards of the proposed solutions and the differences between training and learning applications. Finally, the study lays the basis for future research lines that will develop serious games in immersive VR- environments, providing recommendations for the improvement of these tools and their successful application for the enhancement of both learning and training tasks.

Emotional DesignResearch Papers

Drivers of Consumers' Emotional Engagement with Everyday Products: An Intensive Review of the Literature and an Attempt to Conceptualize the Consumer-Product Interactions Within the Emotional Design Process2017....................................................................................................................................................... iii

Emotional DesignResearch Papers

Design Research on Maker Office Space Based on User ExperienceJiaqi Chi, Jinqi Xu · 2022The maker office space is a new type of office space that has gradually come into everyone’s view since 2014 when the country put forward the concept of “Mass Entrepreneurship and Innovation”. With the continuous development of the country, the era of experience economy comes, people no longer simply need the basic functions of space, but pay more attention to the experience. Therefore, this paper integrates user experience into the design of maker office space to find the demand of users. We analyze the design points of user experience in office space from various aspects, propose the design strategy of user experience in maker office space, and propose innovative thinking and inspiration for the design of maker office space in the future.

HCI & Adaptive InterfacesResearch Papers

INSPIRING ENGAGEMENT THROUGH THE USER EXPERIENCE:Lisa Joy Gumerman · 2014INSPIRING ENGAGEMENT THROUGH THE USER EXPERIENCE: A PROJECT WITH THE FORT COLLINS MUSEUM OF DISCOVERY This project focused on user experience to create a plan for a web application that would increase engagement with the audience of a local museum. With the support of the Fort Collins Museum of Discovery, the researcher performed user experience research to create an interactive feature on the museum's website that can showcase the experiences and history and science content the museum has to offer. The project was conducted using a human-centered design framework and focused on engagement and user experience. Activity theory and the user experience framework drove the method. The process started with five stakeholder interviews, then proceeded to four observation sessions, five personas, and rounds of prototyping and testing. The final deliverable to the Fort Collins Museum of Discovery was a project plan – including specific design, content and technology recommendations resulting from research and development – they can use to implement the web application on their currently existing site to increase engagement and their audience size. ii

HCI & Adaptive InterfacesResearch Papers

UTOPIA: Participatory Design from Scandinavia to the WorldYngve Sundblad · 2011Studies and design of information technology support for workplaces, especially workshop floors, office floors and hospital floors, have a strong tradition in Scandinavia, involving workplace users and their trade unions and other stakeholders. The projects emphasize the active cooperation between researchers and workers in the organizations to help improve their work situation. This tradition is analyzed in its historic perspective, starting with the roots in Norway in the early 1970s while highlighting the seminal UTOPIA project from the early 1980s. Today computer use and interaction possibilities are changing quickly with use contexts and application types radically broadening. Technology no longer consists of static tools belonging only to the workplace; it permeates work activity, homes, and everyday lives. The Scandinavian tradition of user involvement in development is facing up with the challenges of new contexts. The influence on past and current practices for international ICT system design is described and analyzed.

HCI & Adaptive InterfacesResearch Papers