Understanding Palm-Based Imaginary Interfaces

نویسندگان

  • Sean Gustafson
  • Bernhard Rabe
  • Patrick Baudisch
چکیده

Imaginary Interfaces are screen-less ultra-mobile interfaces. Previously we showed that even though they offer no visual feedback they allow users to interact spatially, e.g., by pointing at a location on their non-dominant hand. The primary goal of this paper is to provide a deeper understanding of palm-based imaginary interfaces, i.e., why they work. We perform our exploration using an interaction style inspired by interfaces for visually impaired users. We implemented a system that audibly announces target names as users scrub across their palm. Based on this interface, we conducted three studies. We found that (1) even though imaginary interfaces cannot display visual contents, users’ visual sense remains the main mechanism that allows users to control the interface, as they watch their hands interact. (2) When we remove the visual sense by blindfolding, the tactile cues of both hands feeling each other in part replace the lacking visual cues, keeping imaginary interfaces usable. (3) While we initially expected the cues sensed by the pointing finger to be most important, we found instead that it is the tactile cues sensed by the palm that allow users to orient themselves most effectively. While these findings are primarily intended to deepen our understanding of Imaginary Interfaces, they also show that eyes-free interfaces located on skin outperform interfaces on physical devices. In particular, this suggests that palmbased imaginary interfaces may have benefits for visually impaired users, potentially outperforming the touchscreenbased devices they use today. Author

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Trust Model for B2C E-Commerce Based on 3D User Interfaces

Lack of trust is one of the key bottle necks in e-commerce development. Nowadays many advanced technologies are trying to address the trust issues in e-commerce. One among them suggests using suitable user interfaces. This paper investigates the functionality and capabilities of 3D graphical user interfaces in regard to trust building in the customers of next generation of B2C e-commerce websit...

متن کامل

Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces

The performance of EEG-based Brain-Computer-Interfaces (BCIs) critically depends on the extraction of features from the EEG carrying information relevant for the classification of different mental states. For BCIs employing imaginary movements of different limbs, the method of Common Spatial Patterns (CSP) has been shown to achieve excellent classification results. The CSP-algorithm however suf...

متن کامل

Perception in Hand-Worn Haptics: Placement, Simultaneous Stimuli, and Vibration Motor Comparisons

Glove-based tactile interfaces are used for augmented reality, rehabilitation, teaching, and consumer electronics control. Yet questions remain regarding perception of tactile stimuli on the hands. In an effort to inform the design of such tactile interfaces, we investigate participants’ abilities to sense vibration on the hands. First, we examine the effect of stimulus location on recognition ...

متن کامل

EEG Classification of Different Imaginary Movements within the Same Limb

The task of discriminating the motor imagery of different movements within the same limb using electroencephalography (EEG) signals is challenging because these imaginary movements have close spatial representations on the motor cortex area. There is, however, a pressing need to succeed in this task. The reason is that the ability to classify different same-limb imaginary movements could increa...

متن کامل

A Latent Discriminative Model-Based Approach for Classification of Imaginary Motor Task from EEG Data

We consider the problem of classification of imaginary motor tasks from electroencephalography (EEG) data for brain-computer interfaces (BCIs) and propose a new approach based on hidden conditional random fields (HCRFs). HCRFs are discriminative graphical models that are attractive for this problem because they (1) exploit the temporal structure of EEG; (2) include latent variables that can be ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013