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  • Providing Semi-private Feedback on a Shared Public Screen by Controlling Presentation Onset
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-11-23
    Peter Beshai; Ricardo Caceffo; Kellogg S. Booth

    We describe a novel technique to provide semi-private feedback on a shared public screen. The technique uses a no-onset presentation that takes advantage of perceptual limitations in human vision to avoid alerting other users to feedback directed at one individual user by suppressing the sudden onset of the feedback. Three experiments evaluated the effectiveness of the technique and appropriate timing

  • Toward Quantifying Ambiguities in Artistic Images
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-11-06
    Xi Wang; Zoya Bylinskii; Aaron Hertzmann; Robert Pepperell

    It has long been hypothesized that perceptual ambiguities play an important role in aesthetic experience: A work with some ambiguity engages a viewer more than one that does not. However, current frameworks for testing this theory are limited by the availability of stimuli and data collection methods. This article presents an approach to measuring the perceptual ambiguity of a collection of images

  • The Effect of Gender and Attractiveness of Motion on Proximity in Virtual Reality
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-11-06
    Katja Zibrek; Benjamin Niay; Anne-Hélène Olivier; Ludovic Hoyet; Julien Pettre; Rachel McDonnell

    In human interaction, people will keep different distances from each other depending on their gender. For example, males will stand further away from males and closer to females. Previous studies in virtual reality (VR), where people were interacting with virtual humans, showed a similar result. However, many other variables influence proximity, such as appearance characteristics of the virtual character

  • How the Presence and Size of Static Peripheral Blur Affects Cybersickness in Virtual Reality
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-11-06
    Yun-Xuan Lin; Rohith Venkatakrishnan; Roshan Venkatakrishnan; Elham Ebrahimi; Wen-Chieh Lin; Sabarish V. Babu

    Cybersickness (CS) is one of the challenges that has hindered the widespread adoption of Virtual Reality and its applications. Consequently, a number of studies have focused on extensively understanding and reducing CS. Inspired by previous work that has sought to reduce CS using foveated rendering and Field of View (FOV) restrictions, we investigated how the presence and size of a static central window

  • A Systematic Review of Empirical Measures of Workload Capacity
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-10-19
    Alexander Thorpe; Keith Nesbitt; Ami Eidels

    The usability of the human-machine interface is dependent on the quality of its design and testing. Defining clear criteria that the interface must meet can assist the implementation and evaluation process. These criteria may be based on performance, the quality of users’ experience, error prevention, or the broad utility of the interface. In this article, we motivate the use for workload capacity

  • Learning the Vibrotactile Morse Code Alphabet
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-08-03
    Myrthe A. Plaisier; Daphne S. Vermeer; Astrid M. L. Kappers

    Vibrotactile Morse code provides a way to convey words using the sense of touch with vibrations. This can be useful in applications for users with a visual and/or auditory impairment. The advantage of using vibrotactile Morse code is that it is technically easy to accomplish. The usefulness of tactile Morse code also depends on how easy it is to learn to use without providing a visual representation

  • On the Perception Analysis of User Feedback for Interactive Face Retrieval
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-08-03
    Yuchun Fang; Wei Zhang; Ningjie Liu

    In this article, we explore the coherence of face perception between human and machine in the scenario of interactive face retrieval. In the part of human perception, we collect user feedback to the stimuli of a target face and groups of displayed candidate face images in a face database with a large number of subjects. In the part of machine vision, we compare the benchmark features and general metrics

  • Feature Weighted Linguistics Classifier for Predicting Learning Difficulty Using Eye Tracking
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-05-09
    Saurin S. Parikh; Hari Kalva

    This article presents a new approach to predict learning difficulty in applications such as e-learning using eye movement and pupil response. We have developed 12 eye response features based on psycholinguistics, contextual information processing, anticipatory behavior analysis, recurrence fixation analysis, and pupillary response. A key aspect of the proposed approach is the temporal analysis of the

  • Three Perceptual Dimensions for Specular and Diffuse Reflection
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-05-09
    Matteo Toscani; Dar’ya Guarnera; Giuseppe Claudio Guarnera; Jon Yngve Hardeberg; Karl R. Gegenfurtner

    Previous research investigated the perceptual dimensionality of achromatic reflection of opaque surfaces, by using either simple analytic models of reflection or measured reflection properties of a limited sample of materials. Here, we aim to extend this work to a broader range of simulated materials. In a first experiment, we used sparse multidimensional scaling techniques to represent a set of rendered

  • Establishing Vibration-Based Tactile Line Profiles for Use in Multimodal Graphics
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-05-09
    Jennifer L. Tennison; P. Merlin Uesbeck; Nicholas A. Giudice; Andreas Stefik; Derrick W. Smith; Jenna L. Gorlewicz

    Vibration plays a significant role in the way users interact with touchscreens. For many users, vibration affords tactile alerts and other enhancements. For eyes-free users and users with visual impairments, vibration can also serve a more primary role in the user interface, such as indicating streets on maps, conveying information about graphs, or even specifying basic graphics. However, vibration

  • Does It Ping or Pong? Auditory and Tactile Classification of Materials by Bouncing Events
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2020-05-15
    Yuri De Pra; Federico Fontana; Hanna Järveläinen; Stefano Papetti; Michele Simonato

    Two experiments studied the role of impact sounds and vibrations in classification of materials. The task consisted of feeling on an actuated surface and listening through headphones to the recorded feedback of a ping-pong ball hitting three flat objects respectively made of wood, plastic, and metal, and then identifying their material. In Experiment 1, sounds and vibrations were recorded by keeping

  • Keppi: A Tangible User Interface for Self-Reporting Pain.
    ACM Trans. Appl. Percept. (IF 1.378) Pub Date : 2018-12-14
    Alexander T Adams,Phil Adams,Elizabeth L Murnane,Mike Elfenbein,Shruti Sannon,Geri Gay,Tanzeem Choudhury,Pamara F Chang

    Motivated by the need to support those self-managing chronic pain, we report on the development and evaluation of a novel pressure-based tangible user interface (TUI) for the self-report of scalar values representing pain intensity. Our TUI consists of a conductive foam-based, force-sensitive resistor (FSR) covered in a soft rubber with embedded signal conditioning, an ARM Cortex-M0 microprocessor

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