scholarly journals Component interface design for flexible user-centric automation and assistive devices

2008 ◽  
Author(s):  
Wen-Hsian Chang ◽  
Chi-Sheng Shih ◽  
Jane Liu
Keyword(s):  
Interface Design ◽  
Assistive Devices ◽  
User Centric ◽  
Component Interface

scholarly journals Extending assistive devices: using the existing interface versus using a new interface

2021 ◽  
Vol 3 (12) ◽  
Author(s):  
Nirit Yuviler-Gavish ◽  
Eitan Kribu ◽  
Avi Weiss ◽  
Uri Ben-Hanan
Keyword(s):  
Mental Model ◽  
Interface Design ◽  
Assistive Devices ◽  
Assistive Device ◽  
Rough Terrain ◽  
Special Cases

AbstractThe current research examined whether or not the interface of an extender attached to an assistive device should be identical to the interface of the assistive device. Given the profile of assistive devices such as wheelchairs and the need to extend them in special cases such when maneuvering over rough terrain or obstacles such as stairs and steep inclines, the interface design of these extenders (attached to existing assistive devices) should be evaluated. We have simulated a carrying platform for a wheelchair that is larger than the user’s regular wheelchair. We have examined whether participants used to handling their wheelchair, when asked to operate the carrying platform, handle the latter’s interface better or worse than their wheelchair’s interface. Participants (61) were assigned to one of two between-participants groups. Both groups were trained to navigate a wheelchair using the wheelchair’s interface and then operated the carrying platform. The Familiar Interface group navigated the carrying platform using the wheelchair’s interface, and the New Interface group navigated it with a new interface. The results demonstrated that the Familiar Interface group took longer to perform the task and collided more often with obstacles, compared to the New Interface group. The greater number of collisions can be linked directly to an erroneous mental model of the carrying platform’s size. The insights we reach can be linked to both extenders attached to an assistive device and other technological extenders.

Model-Based Development of User-Centric Automation and Assistive Devices/Systems

2012 ◽  
Vol 6 (3) ◽  
pp. 388-400 ◽  
Author(s):  
Tsung-Yen Chen ◽  
Yu-Chi Huang ◽  
Ting-Shuo Chou ◽  
Chi-Sheng Shih ◽  
J. W. S. Liu
Keyword(s):  
Assistive Devices ◽  
Model Based ◽  
User Centric

E-Commerce and its Impact on Future HCI Work

2000 ◽  
Vol 44 (12) ◽  
pp. 2-762-2-765 ◽  
Author(s):  
Pawan R. Vora
Keyword(s):  
Interface Design ◽  
Customer Experience ◽  
Computer Interface ◽  
The Internet ◽  
Human Computer Interface ◽  
Business Objectives ◽  
User Centric ◽  
End To End ◽  
The Way

Increasing focus on e-commerce will change the way we look at human-computer interface design. In particular, we will need to be more customer-centric – in addition to being user-centric – and incorporate both usability and business objectives in our designs. Our designs will need to consider the end-to-end customer experience rather than focusing simply on the functional objectives of the application itself. The customer experience itself will determine how the users/customers view the company itself in terms of a viable and trustworthy brand on an off the Internet. To achieve these goals, we will need to address some fundamental issues related to the ART ( Access, Relationship, and Trust) of designing interfaces. Although our profession is well suited for this role because of our user-centric roots, the onus will be on us to step up to the challenge and own the end-to-end customer experience.

Model-Based User Interface Generation for Mobile Tourism Applications and Services

2010 ◽  
pp. 161-179
Author(s):  
M. O. Adigun ◽  
A. O. Ipadeola ◽  
O. O. Olugbara
Keyword(s):  
User Interface ◽  
User Satisfaction ◽  
Interface Design ◽  
Automatic Generation ◽  
Model Based ◽  
Mobile Computing Environment ◽  
Interface Generation ◽  
User Centric ◽  
User Interface Generation ◽  
High Degree

The purpose of this chapter is to describe a model-based approach for automatic generation of usercentric interfaces for an individual mobile tourist. The generation of user-centric interfaces can provide a tourist with self-customized interfaces for efficient accessibility to mobile applications and services. The authors’ polymorphic logical description (PLD) model is an interface description created at design time to address the diverse needs and preferences of users in a mobile computing environment. A PLD consists of three important modeling elements, namely, polymorphic task modeling (PTM), polymorphic abstract modeling (PAM) and polymorphic concrete modeling (PCM). A toolkit was developed based on the model-based PLD approach to user interface design. The toolkit achieves user-centric and multidevice interface generation with a high degree of dynamism and flexibility. The evaluation results of user satisfaction of the toolkit and usability of the generated interfaces are provided.

scholarly journals Research on TikTok APP Based on User-Centric Theory

2019 ◽  
Vol 3 (1) ◽  
pp. 28 ◽  
Author(s):  
Jiang Xiao Yu
Keyword(s):  
Big Data ◽  
User Experience ◽  
Interface Design ◽  
Production Model ◽  
Personalized Service ◽  
Vast Amount ◽  
Short Video ◽  
User Centric ◽  
Recommended Algorithm

<p><em>TikTok App, as a music short video social platform, has become a popular style in short video field in 2018, dues to its huge user base and vast amount of content. From the perspective of user centric theory, TikTok optimizes the user experience in the aspects of UCD design, content production and form innovation, personalized service and so on. It satisfies the user’s needs and achieves the user’s goals. In terms of user experience, TikTok has optimized the experience in terms of interface design, human-computer interactive, UGC and PGC and OGC content production model, content micro narrative modes and recommended algorithm technology based on big data, which enhanced user loyalty.</em></p>

Interface Design

2002 ◽  
Vol 11 (2) ◽  
pp. 8-11
Author(s):  
Kevin Caves ◽  
Frank DeRuyter ◽  
David R. Beukelman
Keyword(s):  
Interface Design
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