Assessment of the use of a human-computer vision interaction framework

Ponsa, Pere; Manresa-Yee, Cristina; Batlle, David; Varona, Javier

doi:10.1109/hsi.2009.5091019

Cited by 3 publications

(4 citation statements)

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“…They centred their study on the graphical event toolbar and a set of new recommendations to improve the user interface in ways such as location, visibility, size or colour use. This paper does not describe in detail the ergonomics of the hands-free interface, readers interested in more detail about these techniques are directed to prior work (Ponsa et al, 2009). Moreover, the non-disabled users tested the hands-free interface while working on pre-defined tasks with an interface of a domotic house (in laboratory conditions).…”

Section: Testingmentioning

confidence: 99%

“…Two evaluations of the prototype were carried out: the first one in a centre with disabled users, and the second one in an external group with non-disabled users. The method to embed the system in the centre for disabled users and their first experiences are briefly explained in previous work , as is the evaluation of the external group (Ponsa et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

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User experience to improve the usability of a vision-based interface

Manresa-Yee

Ponsa

Varona

et al. 2010

Interacting with Computers

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a b s t r a c tWhen we develop an input device for users to communicate with computers, we have to take into account that end-users must consider the utilization of the device to be effective, efficient and satisfactory. Users whose expectations are unmet by the interface will tend to abandon it. In this paper we present a vision-based interface for motor-impaired users; a multidisciplinary group developed this interface. The user's preferences are a critical issue when selecting an access device; therefore, user requirements should be included in the design. Usability evaluation should be integrated into relevant phases of software development. In order to evaluate the design, we present a process with multiple user studies at different development stages. We describe the combination of a development project and its implementation, with user experience considerations embedded in the process. Finally, we studied the performance of the interface through several tests, paying special attention to satisfaction and fatigue. From our results we observed that although several users found the interface tiring, their satisfaction level was encouraging, suggesting the interface is usable.

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Section: Testingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

User experience to improve the usability of a vision-based interface

Manresa-Yee

Ponsa

Varona

et al. 2010

Interacting with Computers

Self Cite

View full text Add to dashboard Cite

show abstract

“…Tracking was accomplished using intensity gradients in the video frames. Using the same interface, eight users with movement disabilities reportedly controlled the temperature and lighting of a room [Ponsa et al (2009)].…”

Section: Related Workmentioning

confidence: 99%

Dedications and Acknowledgments

2017

Drawing Physics

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We prove all randomized sampling methods produce outliers. Given a computable measure P over natural numbers or infinite binary sequences, there is no method that can produce an arbitrarily large sample such that all its members are typical of P. The second part of this dissertation describes a computationally inexpensive method to approximate Hilbertian distances. This method combines the semi-least squares inverse techinque with the canonical modern machine learning technique known as the kernel trick. In the task of distance approximation, our method was shown to be comparable in performance to a solution employing the Nyström method. Using the kernel semi-least squares method, we developed and incorporated the Kernel-Subset-Tracker into the Camera Mouse, a video-based mouse replacement software for people with movement disabilities. The Kernel-Subset-Tracker is an exemplar-based method that uses a training set of representative images to produce online templates for positional tracking. Our experiments with test subjects show that augmenting the Camera Mouse with the Kernel-Subset-Tracker improves communication bandwidth statistically significantly.

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Section: Related Workmentioning

confidence: 99%