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"INTERFACE"
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Designing with the mind in mind : simple guide to understanding user interface design guidelines
by
Johnson, Jeff, Ph. D
in
Design
,
Graphical user interfaces (Computer systems)
,
User interfaces (Computer systems)
2014,2013
In this completely updated and revised edition of Designing with the Mind in Mind, Jeff Johnson provides you with just enough background in perceptual and cognitive psychology that user interface (UI) design guidelines make intuitive sense rather than being just a list or rules to follow.Early UI practitioners were trained in cognitive psychology.
Critiquing the Concept of BCI Illiteracy
2019
Brain–computer interfaces (BCIs) are a form of technology that read a user’s neural signals to perform a task, often with the aim of inferring user intention. They demonstrate potential in a wide range of clinical, commercial, and personal applications. But BCIs are not always simple to operate, and even with training some BCI users do not operate their systems as intended. Many researchers have described this phenomenon as “BCI illiteracy,” and a body of research has emerged aiming to characterize, predict, and solve this perceived problem. However, BCI illiteracy is an inadequate concept for explaining difficulty that users face in operating BCI systems. BCI illiteracy is a methodologically weak concept; furthermore, it relies on the flawed assumption that BCI users possess physiological or functional traits that prevent proficient performance during BCI use. Alternative concepts to BCI illiteracy may offer better outcomes for prospective users and may avoid the conceptual pitfalls that BCI illiteracy brings to the BCI research process.
Journal Article
Brave NUI world : designing natural user interfaces for touch and gesture
by
Wigdor, Daniel
,
Wixon, Dennis
in
Haptic devices
,
Human-computer interaction
,
User interfaces (Computer science)
2011
Touch and gestural devices have been hailed as next evolutionary step in human-computer interaction. As software companies struggle to catch up with one another in terms of developing the next great touch-based interface, designers are charged with the daunting task of keeping up with the advances in new technology and this new aspect to user experience design. Product and interaction designers, developers and managers are already well versed in UI design, but touch-based interfaces have added a new level of complexity. They need quick references and real-world examples in order to make informed decisions when designing for these particular interfaces. Brave NUI World is the first practical book for product and interaction developers and designing touch and gesture interfaces. Written by developers of industry-first, multi-touch, multi-user products, this book gives you the necessary tools and information to integrate touch and gesture practices into your daily work, presenting scenarios, problem solving, metaphors, and techniques intended to avoid making mistakes. *Provides easy-to-apply design guidance for the unique challenge of creating touch- and gesture-based user interfaces *Considers diverse user needs and context, real world successes and failures, and a look into the future of NUI *Presents thirty scenarios, giving practitioners a multitude of considerations for making informed design decisions and helping to ensure that missteps are never made again
Human-robot interaction strategies for walker-assisted locomotion
This book presents the development of a new multimodal human-robot interface for testing and validating control strategies applied to robotic walkers for assisting human mobility and gait rehabilitation. The aim is to achieve a closer interaction between the robotic device and the individual, empowering the rehabilitation potential of such devices in clinical applications. A new multimodal human-robot interface for testing and validating control strategies applied to robotic walkers for assisting human mobility and gait rehabilitation is presented. Trends and opportunities for future advances in the field of assistive locomotion via the development of hybrid solutions based on the combination of smart walkers and biomechatronic exoskeletons are also discussed.
The vicarious brain, creator of worlds
Groping around a familiar room in the dark, relearning to read after a brain injury, navigating a virtual landscape through an avatar: all are expressions of vicariance--when the brain substitutes one process or function for another. Alain Berthoz shows that this capacity allows humans to think creatively in an increasingly complex world.-- Provided by publisher.
Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
by
Mon-Williams, Mark A.
,
Holt, Raymond J.
,
Mushtaq, Faisal
in
Activities of daily living
,
Automation
,
Biomedical and Life Sciences
2021
Background
Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literature on the use of BCI-robot systems for the rehabilitation of fine motor skills associated with hand movement and profile these systems from a technical and clinical perspective.
Methods
A search for January 2010–October 2019 articles using Ovid MEDLINE, Embase, PEDro, PsycINFO, IEEE Xplore and Cochrane Library databases was performed. The selection criteria included BCI-hand robotic systems for rehabilitation at different stages of development involving tests on healthy participants or people who have had a stroke. Data fields include those related to study design, participant characteristics, technical specifications of the system, and clinical outcome measures.
Results
30 studies were identified as eligible for qualitative review and among these, 11 studies involved testing a BCI-hand robot on chronic and subacute stroke patients. Statistically significant improvements in motor assessment scores relative to controls were observed for three BCI-hand robot interventions. The degree of robot control for the majority of studies was limited to triggering the device to perform grasping or pinching movements using motor imagery. Most employed a combination of kinaesthetic and visual response via the robotic device and display screen, respectively, to match feedback to motor imagery.
Conclusion
19 out of 30 studies on BCI-robotic systems for hand rehabilitation report systems at prototype or pre-clinical stages of development. We identified large heterogeneity in reporting and emphasise the need to develop a standard protocol for assessing technical and clinical outcomes so that the necessary evidence base on efficiency and efficacy can be developed.
Journal Article