Interaction between a Disabled Person and a Scanning Communication Aid: Towards an Automatic Adjustment of the Scanning Rate Adapted to the User

Ghedira, Souhir; Pino, Pierre; Bourhis, Guy

doi:10.1007/978-3-540-70540-6_181

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…The following two rules (the anticipations/errors algorithm) are thus implemented [Ghedira et al 2008]. …”

Section: Algorithm For An Adaptive Adjustment Of Tscanmentioning

confidence: 99%

Conception and Experimentation of a Communication Device with Adaptive Scanning

Ghedira¹,

Pino²,

Bourhis³

2009

ACM Trans. Access. Comput.

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For some people with motor disabilities and speech disorders, the only way to communicate and to have some control over their environment is through the use of a controlled scanning system operated by a single switch. The main problem with these systems is that the communication process tends to be exceedingly slow, since the system must scan through the available choices one at a time until the desired message is reached. One way of raising the speed of message selection is to optimize the elementary scanning delay in real time so that it allows the user to make selections as quickly as possible without making too many errors. With this objective in mind, this article presents a method for optimizing the scanning delay, which is based on an analysis of the data recorded in "log files" while applying the EDiTH system [Digital Teleaction Environment for People with Disabilities]. This analysis makes it possible to develop a human-machine interaction model specific to the study, and then to establish an adaptive algorithm for the calculation of the scanning delay. The results obtained with imposed scenarios and then in ecological situations provides a confirmation that our algorithms are effective in dynamically adapting a scan speed. The main advantage offered by the procedure proposed is that it works on timing information alone and thus does not require any knowledge of the scanning device itself. This allows it to work with any scanning device.

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“…The following two rules (the anticipations/errors algorithm) are thus implemented [Ghedira et al 2008]. …”

Section: Algorithm For An Adaptive Adjustment Of Tscanmentioning

confidence: 99%

Conception and Experimentation of a Communication Device with Adaptive Scanning

Ghedira¹,

Pino²,

Bourhis³

2009

ACM Trans. Access. Comput.

Self Cite

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“…The player component allows the customization of the AAC and the interface between several input interaction modes (pointing device, eye tracker, joystick, speech recognition, on/off switch). The platform also allows various control modes to be configured (pointing, time delay click, scanning system [16]) according to the abilities of disabled people. Table 1.…”

Section: Description Of the Sokeyto Plateformmentioning

confidence: 99%

“…Scanning strategy. The SoKeyTo platform makes it possible to define several interaction modes, including the scanning technique [16]. The configuration parameters are the scanning direction (row then column or column then row, the specification of the scanning block, the scanning speed, the associated visual feedbacks, etc.…”

Section: Specification Interfacementioning

confidence: 99%

User Centred Method to Design a Platform to Design Augmentative and Alternative Communication Assistive Technologies

Vella

Clastres-Babou

Vigouroux

et al. 2022

Lecture Notes in Computer Science

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We describe a co-design approach to design the online WebSoKeyTo used to design AAC. This co-design was carried out between a team of therapists and a team of human-computer interaction researchers. Our approach begins with the use and evaluation of an existing SoKeyTo AAC design application. This step was essential in the awareness and definition of the needs by the therapists and in the understanding of the poor usability scores of SoKeyTo by the researchers. We then describe the various phases (focus group, brainstorming, prototyping) with the co-design choices retained. An evaluation of WebSoKeyTo is in progress.

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“…In character-level disambiguation mode (Table 4), the rate is 10.32 for the same parameters, and ranges from 8.56 to 13.00 wpm. Although in this paper we fix the scan period and weights, this is done merely to obtain an estimation of the performance, and to draw conclusions about the systems, but the parameters have to be measured running an experiment with users, and the scan period adapted specifically for each user [12], [22], [35]. Figure 6 shows the weighted number of keystrokes according to w C for both disambiguation modes.…”

Section: Journal Of Theoretical and Applied Electronic Commerce Researchmentioning

confidence: 99%

Text Entry in the E-Commerce Age: Two Proposals for the Severely Handicapped

Miró-Borrás

Bernabeu-Soler

2009

J. theor. appl. electron. commer. res.

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People with severe motor disabilities have extreme access difficulties with all kinds of web services especially when they want not only to surf the web, but also write some text, e.g., to participate in an e-activity. Several problems arise when using traditional scanning systems, such as the low text entry rate, the time consuming task of learning the scan matrix layout, or simply, the poor visibility of the web page due to the large surface needed to display the complete scan matrix on the screen. We propose a reduced virtual keyboard based on scanning with only one switch as input device. The scan matrix consists of only three cells, so ambiguity is present due to the assignment of 26 characters to the three keys. Word-level and character-level disambiguation modes are explored using a mathematical model, and the text entry rates for an expert user were 15.9 and 10.3 words per minute respectively, using a scan period of 0.5 seconds. This keyboard could be embedded into a web page using a Java applet, JavaScript code or a Flash application, or be programmed as an independent application.

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Interaction between a Disabled Person and a Scanning Communication Aid: Towards an Automatic Adjustment of the Scanning Rate Adapted to the User

Cited by 3 publications

References 2 publications

Conception and Experimentation of a Communication Device with Adaptive Scanning

Conception and Experimentation of a Communication Device with Adaptive Scanning

User Centred Method to Design a Platform to Design Augmentative and Alternative Communication Assistive Technologies

Text Entry in the E-Commerce Age: Two Proposals for the Severely Handicapped

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