In the digital age, visual communication design is shifting from static aesthetics to dynamic interaction. This paper examines how computer vision can enhance interactivity in mobile environments. This study propose a real-time interactive framework that captures user behavior, analyzes intent, and dynamically updates visual feedback. Grounded in human-computer interaction principles, the model bridges technical logic and user experience. The system leverages camera-based input and lightweight vision algorithms for on-device processing. Experimental results show improved response, coherence, and user satisfaction compared to traditional designs. The framework supports adaptive, context-aware interactions on handheld and wearable devices. The results contribute to mobile HCI by advancing responsive visual design for immersive and user-centered applications. Findings offer practical guidance for designing intelligent, perception-driven interfaces in real-world mobile contexts.

This study investigates patterns of mobile device usage and their association with digital communication behavior through a behavioral segmentation approach. Grounded in the Uses and Gratifications (U&G) theory and the Technology Acceptance Model (TAM), the research classifies users based on multidimensional interaction metrics such as screen time, app usage frequency, and engagement regularity. A descriptive-analytical methodology was employed using a large-scale behavioral dataset, allowing for both empirical clustering and theoretical interpretation. The analysis identified five distinct user categories that reflect varying degrees of digital engagement, ranging from utilitarian users to habitual and emotionally invested users. The findings indicate that motivations such as information-seeking, entertainment, social connectivity, and habitual usage play significant roles in shaping mobile usage patterns.

The purpose of this article was to examine best practices for designing inquiry-based contextual instructional content and determining the pedagogical uses and impacts of communities of practice for supporting mobile learning activities. In this convergent parallel mixed methods case study, mobile learning experiences were accessed by physicians, nurses, and healthcare professionals at medical organizations across Ontario. Impact was measured by the learning outcomes and experiences of study participants. Findings highlighted the effectiveness of context-specific, situated learning content for application of learned skills, integration of new knowledge, and identification of best practices. Synchronous discussion forums were examined for collaboration and communication during mobile learning, and asynchronous forums were ideal for post-learning collaboration, problem-solving and resource sharing.

This study explored the factors influencing the continued intention to use mobile money transfer services among university students in Ghana. The UTAUT was used as the research theoretical framework while the analysis was conducted with SPSS and SmartPLS. The results demonstrate that the continued intention to use mobile money transfer services is influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived service quality. Also, perceived service quality was found to be a significant predictor of the actual use of mobile money transfer services. The study further revealed that the continued intention to use was a positive determinant of the actual usage of mobile money transfer services. The implications of these and other findings of the study are discussed.

Self-expression is a vital practice for a functioning social life. Wearables have become expressive everyday products, while studies showed how physical collocation can be an opportunity for social technology. This article identifies a perspective for future design of wearables as an extension of the body in its social context: designing for diversity in expression with respect to social boundaries. The collected literature demonstrates the development of new forms of expressive wearables that challenges norms of dress and three groups of participatory methods enable re-search into everyday life practices. The two initial studies—inquiring into everyday life and exploring the wearable design for new practices—exemplify these methods and point a way forward with a focus for design on distinct practices of self-expression.

Two studies investigated the concept of following a lead vehicle as a navigational aid. The first video-based study (n=34) considered how drivers might use a real-world lead vehicle as a navigational aid, whist the second simulator-based study (n=22) explored how an Augmented Reality (AR) virtual car, presented on a head-up display (HUD), may aid navigation around a complex junction. Study 1 indicated that a lead vehicle is most valued as a navigation aid just before/during a required maneuver. During the second study the dynamic virtual car (which behaved like a real vehicle) resulted in greater confidence and lower workload than a static virtual car that “waits” at the correct junction exit, but resulted in more gaze concentration. It is concluded that a virtual car may be a valuable element of a navigation system, in combination with other forms of information, to completely fulfil all a driver's navigational task requirements.

Typified by the multi-touch interface in tablet, the paradigm for the human-computer interface of information technology (IT) devices has recently changed. Although many studies investigate determinants of adopting IT in the workplace, only a few of these studies acknowledge the motives behind IT adoption for personal use, particularly in an Arabian culture. Based on Theory of Reasoned Actions, this research model evaluates the influences of social norms and attitudes on the behavioral intention to adopt tablet computer by sample of college students in Kuwait. The model also examines three external determinants: attachment motivation, personal innovativeness, and perceived enjoyment. Further, we use structural equation modeling that provides a satisfactory explanation for 56% of the variance in the behavioral intentions to adopt tablets. The perceived enjoyment emerges as the strongest determinant followed by attitude, attachment motivation, and personal innovation. Unexpectedly, social norms have little influence on the behavioral intentions to adopt tablets.