The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0): An overview and recent progress

Demers, Louise; Weiss-Lambrou, Rhoda; Ska, Bernadette

doi:10.3233/tad-2002-14304

Cited by 380 publications

(261 citation statements)

References 12 publications

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“…The QUEST ascertains a person's positive or negative valuation of assistive device dimensions, as influenced by expectations, perceptions, attitudes and personal standards (Stickel, Ryan, Rigby, & Jutai, 2002). The psychometric properties of the QUEST 2.0 have been verified for individuals with disabilities and can be used for both adults and adolescents (Demers, Ska, Girous, & Weiss-Lambrou, 1999;Demers et al, 2002). The QUEST is a questionnaire that can be self-administered or interview-based and requires respondents to rate their satisfaction with the assistive technology across 12 variables on a five point scale.…”

Section: Questmentioning

confidence: 99%

“…The Quebec User Evaluation of Satisfaction with assistive Technology (QUEST 2.0) is an outcome measure that focuses on consumer satisfaction with assistive technology (Demers, Weiss-Lambrou, & Ska, 2002). The QUEST ascertains a person's positive or negative valuation of assistive device dimensions, as influenced by expectations, perceptions, attitudes and personal standards (Stickel, Ryan, Rigby, & Jutai, 2002).…”

Section: Questmentioning

confidence: 99%

See 1 more Smart Citation

Implementing an iPad-based alternative communication device for a student with cerebral palsy and autism in the classroom via an access technology delivery protocol

Desai¹,

Chow²,

Mumford

et al. 2014

Computers & Education

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Section: Questmentioning

confidence: 99%

Section: Questmentioning

confidence: 99%

Implementing an iPad-based alternative communication device for a student with cerebral palsy and autism in the classroom via an access technology delivery protocol

Desai¹,

Chow²,

Mumford

et al. 2014

Computers & Education

View full text Add to dashboard Cite

“…Th e scale r anges fr om 1 (not satisfied at all) to 5 (very satisfied ). The QUEST measures sa tisfaction with the use of the ATD (comfort, weight, durability, simplicity), the device its elf (dime ns ions , effecti veness, usability, safety), and services received (Brown-Tri olo, 2002 ; Dem er s, Weiss-Lambrou, & Ska, 2002). According to the literature re view, limite d a pplicati ons have used the QUEST as a measureme nt of satisfaction with computer-related ATDs (Derosier & Farber, 2005 ).…”

Section: Methodsmentioning

confidence: 99%

Computer-Related Assistive Technology: Satisfaction and Experiences Among Users With Disabilities

Burton

Nieuwenhuijsen

Epstein

2008

Assistive Technology

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Many people with disabilities use assistive technology devices (ATDs) for computer access. The specific focus of this exploratory study was (a) to assess the experiences, opinions, and satisfaction levels of 24 individuals with disabilities using computer-related ATDs; (b) to investigate their awareness of health risk factors related to computer usage; and (c) to examine the psychosocial impact of computer-related ATDs on users. Data were collected via telephone interviews with 24 individuals with physical disabilities who had experience using one or more ATDs. The Quebec User Evaluation with Assistive Technology instrument was used to evaluate users' satisfaction with ATDs in a number of dimensions, including their physical attributes. The Psychosocial Impact of Assistive Devices Scale measured the psychosocial impact (i.e., independence, competence, and adequacy) of an ATD on users. Additional questions were posed to gather information about user's opinions and experiences. Training appeared to be an important component for ATD users, many of whom preferred a setting to try out devices rather than group or individual training. Respondents with visual impairments revealed a higher level of adaptability versus those without visual impairments (p = .001). Additional research is needed to develop specific survey items focused on users of computer-related ATDs and the evaluation of the psychosocial impact of ATDs on computer users.

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“…However, for service provisioning in a ubiquitous environment, this user satisfaction is affected not only by the service contents but also by the devices they used. Different devices with different characteristics and functionalities may impact user satisfaction with respect to certain aspects such as cognitive convenience, usability, and efficiency [3,12,20].…”

Section: User Satisfaction-focused Solutionsmentioning

confidence: 99%

A Service-oriented device selection solution based on user satisfaction and device performance in a ubiquitous environment

Tang

Kim

2014

Multimed Tools Appl

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Ubiquitous computing provides the vision of a smart space filled with various smart devices and services where users can navigate with seamless interaction. To achieve such an intelligent scene, service providers attempt to fulfill the functional requirements of users as well as their non-functional demands, such as user satisfaction. Such non-functional demands depend on required services as well as the devices that execute them. For instance, different devices may provide different user satisfaction for an identical service. Currently, selecting a desired device for a requested service is generally completed manually. However, it is a challenge to match a desired device to a service in the aforementioned smart environment because a service is an abstract concept associated with user intention and experience, whereas a device is a concrete item associated with physical functionalities. Therefore, an automatic mechanism is imperative to balance the benefits and drawbacks of selecting a specific device to instantiate a particular service for a certain consumer. The objective of the current paper is to propose a solution that automatically selects one device among multiple devices with overlapping or identical functionalities for a specific given service to achieve maximum user satisfaction. To achieve this, the device selection procedure in a ubiquitous environment is decomposed into four tasks: 1) filtering to obtain candidate devices that are functionally available for the given service, 2) predicting user satisfaction with these candidate devices considering historic usage, 3) estimating device performance based on available device resources, and 4) selecting the top-ranked device to achieve maximum user satisfaction. This study constructs a quantitative metric for selecting a device for a certain service by quantitating service-oriented device performance based on available device resources and predicting user satisfaction considering historic usage. This method is validated through a comparison to another quantitative solution that considers user preference and a method that simply considers device capabilities. Using an example scenario, the overall hit rate of this proposed method exceeds those of the other two methods, and the experimental results indicate that the proposed method is helpful for automatically selecting a user-desired device for a specific service.

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The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0): An overview and recent progress

Cited by 380 publications

References 12 publications

Implementing an iPad-based alternative communication device for a student with cerebral palsy and autism in the classroom via an access technology delivery protocol

Implementing an iPad-based alternative communication device for a student with cerebral palsy and autism in the classroom via an access technology delivery protocol

Computer-Related Assistive Technology: Satisfaction and Experiences Among Users With Disabilities

A Service-oriented device selection solution based on user satisfaction and device performance in a ubiquitous environment

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