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The handedness (i.e. the side of the holding and operating hand) is an important contextual information to optimise the one-handed smartphone interaction. In this paper, we present a deep-learning-based technique for unobtrusive handedness prediction in one-handed smartphone interaction. Our approach is built upon a multilayer LSTM (Long-Short-Term Memory) neural network, and processes the built-in motion-sensor data of the phone in real time. Compared to the existing approaches, our approach eliminates the need of extra user actions (e.g., on-screen tapping and swiping), and predicts the handedness based on the picking-up action and the holding posture before the user performs any operation on the screen. Our approach is able to predict the handedness when a user is sitting, standing, and walking at an accuracy of 97.4%, 94.6%, and 92.4%, respectively. We also show that our approach is robust to the turbulent noise with an average accuracy of 94.6% for the situations of users in the transportation tools (e.g., bus, train, and scooter). Furthermore, the presented approach can classify users' real-life single-handed smartphone usage into left- and right-handed with an average accuracy of 89.2%. [ABSTRACT FROM AUTHOR]

In order to study the performance evaluation of spatial governance of village and town business communities, this paper establishes a five-dimensional system: industrial upgrading (I), environmental renovation (E), life quality (L), humanistic characteristics (H), and governance of society (G) based on the PSR (pressure–state–response) model. In the study, twelve village and town business communities of different types in the Anji County of China are selected as empirical cases; field research and information interviews are conducted in each sample community; the constructed project libraries and constructed ledgers in the past three years are adopted. The GIS 10.2 software is used to draw a policy fund distribution map for spatial governance, compare and study the core characteristics of financial investment for spatial governance in each sample community, and reveal how important the application of the evaluation system is for its performance analysis. The "precise strategies" and "driving foundations" of the spatial governance of village and town business communities are summarized. [ABSTRACT FROM AUTHOR]

Low-cost virtual-reality (VR) head-mounted displays (HMDs) with the integration of smartphones have brought the immersive VR to the masses, and increased the ubiquity of VR. However, these systems are often limited by their poor interactivity. In this paper, we present GestOnHMD, a gesture-based interaction technique and a gesture-classification pipeline that leverages the stereo microphones in a commodity smartphone to detect the tapping and the scratching gestures on the front, the left, and the right surfaces on a mobile VR headset. Taking the Google Cardboard as our focused headset, we first conducted a gesture-elicitation study to generate 150 user-defined gestures with 50 on each surface. We then selected 15, 9, and 9 gestures for the front, the left, and the right surfaces respectively based on user preferences and signal detectability. We constructed a data set containing the acoustic signals of 18 users performing these on-surface gestures, and trained the deep-learning classification pipeline for gesture detection and recognition. Lastly, with the real-time demonstration of GestOnHMD, we conducted a series of online participatory-design sessions to collect a set of user-defined gesture-referent mappings that could potentially benefit from GestOnHMD. [ABSTRACT FROM AUTHOR]

In this research, we conducted an elicitation study with 54 participants to evaluate user-defined mobile gestures given three types of operations, handheld postures, and interaction spaces, respectively, to investigate the effects of these factors on mental model. The results of the elicitation study revealed that each of the three factors significantly affected the users' mental models, which could be reflected by the characteristics (e.g., nature, number of steps, and spatial utility) of the user-defined mobile gestures. In addition, we found that users tended to assign different roles to mid-air and on-screen gestures based on their motor ability given a handheld gesture and their interpretation of the characteristics and requirements of an operation. We further derived a set of gestures commonly defined in the elicitation study for a list of representative operations, and we share our insights into users' mental models and the implications on future mobile-gesture design in different contexts. [ABSTRACT FROM AUTHOR]

Paper, as a traditional material for art and communication, shows great potential as a medium for organic user interfaces, with its ubiquity and flexibility. However, controlling and powering the sensors and actuators that enable interactive paper-crafts has not been fully explored. We present a method of selective inductive power transmission (SIPT) to support interactive paper-crafts. The novelty of this method is that the power transmitter can be controlled to selectively activate one specific receiver at a time through inductive power transferring with multiple receivers. This was achieved by changing the output frequency of the power transmitter to match the impedance of the receivers. The receivers could be embedded or printed to drive paper-crafts. Based on inductor–capacitor oscillating circuit and a function generator with a power amplifier, we developed two different prototypes of SIPT. By comparing the performance of both prototypes, we discussed the advantages and disadvantages of the two systems, and their applications in different contexts of paper-crafts. In addition, we proposed the instructions for using SIPT in developing interactive paper-crafts. With this technology and instructions, we hope to facilitate users to easily design new types of paper-craft systems without being concerned about the arrangement of wire connections to power supply on a massive scale. [ABSTRACT FROM AUTHOR]

In the rapidly transforming landscape of modern world, people unconsciously refrain from interacting in public spaces, containing their communications that are extensive and universal, within home and relatively individually. The mass connectivity and technological advancement created new cultural values, thus altering the human perception of the world around him. This state of affairs is jeopardizing some of the cultural identities that have surmounted few centuries, shaping the values and associated customs of numerous generations. Furthermore, the computer technology became integrated exceedingly with the modern culture, which prompted us to introduce and explore the avenues of cultural computing that is the familiar ground of the modern society. With the intention of promoting values of distinct cultures, which will greatly assist in enhancing the social relationship, we have developed a framework to communicate literature through digital media, which introduced the platform to create Poetry Mix-up. [ABSTRACT FROM AUTHOR]