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Research on visual menus, specifically panel and pie menus, has gained widespread attention in recent times. However, limited research focuses on the mid-air interaction when comparing these two menu types. This study aimed to conduct a comprehensive comparison between panel and pie menus in the context of cursor-based mid-air interaction within a photo booth setting. The evaluation involved analyzing muscle activities, performance metrics, and user experience to quantify the differences between the two menus across three menu operations. Our results indicated that the pie menu offered notable advantages by reducing muscular loads, achieving shorter task completion times, and delivering an overall more enjoyable user experience, making it a preferable choice for mid-air interaction in photo booth settings. Conversely, the panel menu exhibited superior scores of learnability and demonstrated enhanced accuracy in the switching operation, suggesting that it might be a better choice for complex and precision-demanding tasks. [ABSTRACT FROM AUTHOR]

The goal of vehicular automation is to enhance driver comfort by reducing the necessity for active engagement in driving. This allows for the performance of non-driving-related tasks (NDRTs), with attention shifted away from the driving process. Despite this, there exists a discrepancy between current in-vehicle display configurations and the escalating demands of NDRTs. This study investigates drivers' preferences for in-vehicle display configurations within highly automated driving contexts. Utilizing virtual reality head-mounted displays (VR-HMDs) to simulate autonomous driving scenarios, this research employs Unity 3D Shape for developing sophisticated head movement tracking software. This setup facilitates the creation of virtual driving environments and the gathering of data on visual attention distribution. Employing an orthogonal experiment, this experiment methodically analyses and categorizes the primary components of in-vehicle display configurations to determine their correlation with visual immersion metrics. Additionally, this study incorporates subjective questionnaires to ascertain the most immersive display configurations and to identify key factors impacting user experience. Statistical analysis reveals that a combination of Portrait displays with Windshield Head-Up Displays (W-HUDs) is favored under highly automated driving conditions, providing increased immersion during NDRTs. This finding underscores the importance of tailoring in-vehicle display configurations to individual needs to avoid distractions and enhance user engagement. [ABSTRACT FROM AUTHOR]

Mobile games are developing rapidly as an important part of the national economy. Gameplay is an important attribute, and a game's icon sometimes determines the user's initial impression. Whether the user can accurately perceive gameplay and affective quality through the icon is particularly critical. In this article, a two-stage perceptual matching procedure is used to evaluate the perceptual quality of six categories of games whose icons include characters as elements. First, 60 highly visual matching icons were selected as second-stage objects through classification tasks. Second, through the semantic differential method and correlation analysis, highly visual matching icons' affective matching quality was measured. Finally, a series of icon samples were determined, and element analysis was carried out. Several methods were proposed for improving the perceptual quality of game icons. Studying the perceptual matching relationship can better enhance the interaction between designers, developers, and users. [ABSTRACT FROM AUTHOR]

Rural tourism has become a hot topic in China in the context of the nation's rural revitalisation. Rural tourism allows tourists to experience local life and promotes local economic development. However, there is considerable controversy over the landscape design of ancient Chinese villages. Many problems, such as how to design and protect the landscape of these ancient villages and how to improve the tourist experience, are not resolved. For our research object, we selected the ancient Gaotiankeng Village in Kaihua County, Zhejiang Province. Using questionnaires, image interviews, and some user experience techniques such as mental maps, we collected user experience data by assessing design cases. The visualisation method presented a wide range of experience in the landscape and planning field. This study primarily used computer image processing, image entropy calculation, and colour mapping to process the data. A visualisation framework was defined to highlight the landscape aesthetics, landscape service, and tourists' emotion. The results indicated the relationship of three elements. The objective of our study was to develop a method of landscape design and planning that can effectively enhance tourists' experience and provide practical suggestions for rural landscapes and relatively better services. [ABSTRACT FROM AUTHOR]