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Abstract
The need to study representative users is widely accepted within the human-computer interaction (HCI) community. While exceptions exist, and alternative populations are sometimes studied, virtually any introduction to the process of designing user interfaces will discuss the importance of understanding the intended users as well as the significant impact individual differences can have on how effectively individuals can use various technologies. HCI researchers are expected to provide relevant demographics regarding study participants as well as information about experience using similar technologies. Yet in the field of accessibility, we continue to see studies that do not appropriately include representative users. Highlighting ways to remedy this multifaceted problem, we argue that expectations regarding how accessibility research is conducted and reported must be raised if this field is to have the desired impact with regard to inclusive design, the information technologies studied, and the lives of the individuals studied.
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Randolph AB, Moore Jackson MM. Assessing Fit of Nontraditional Assistive Technologies. ACM TRANSACTIONS ON ACCESSIBLE COMPUTING 2010. [DOI: 10.1145/1786774.1786777] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
There is a variety of brain-based interface methods which depend on measuring small changes in brain signals or properties. These methods have typically been used for nontraditional assistive technology applications. Non-traditional assistive technology is generally targeted for users with severe motor disabilities which may last long-term due to illness or injury or short-term due to situational disabilities. Control of a nontraditional assistive technology can vary widely across users depending upon many factors ranging from health to experience. Unfortunately, there is no systematic method for assessing usability of nontraditional assistive technologies to achieve the best control. The current methods to accommodate users through trial-and-error result in the loss of valuable time and resources as users sometimes have diminishing abilities or suffer from terminal illnesses. This work describes a methodology for objectively measuring an individual’s ability to control a specific nontraditional assistive technology, thus expediting the technology-fit process.
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