@article {3142,
	title = {Factors that affect visually impaired users{\textquoteright} acceptance of audio and music websites},
	journal = {International Journal of Human Computer Studies},
	volume = {71},
	year = {2013},
	note = {This study focused on exploring Web usage behaviors of blind and low-vision users. It argued that TAM (Technology Acceptance Model) and information accessibility variables can jointly predict acceptance behavior for visually impaired users in a more comprehensive manner. The study tested the effect that perceived convinence and perceived reliability have on perceived ease of use, perceived usefulness and behavioral intention of visually impaired users. Participants were invited to complete a series of tasks and questionnaires. Results showed that although perceived convinence will impact the user{\textquoteright}s percieved ease of use of a website, it will not significantly affect the perceived usefulness. The assumptions that perceived reliability was positively related to the perceived ease of use and perceived usefulness were supported. The two predictors were also found to impact visually impaired users{\textquoteright} behaviorial intentions to use the website in the future.},
	pages = {321-334},
	publisher = {Elsevier},
	abstract = {The number of users with visual impairments is on the rise. Companies have an opportunity to increase their reach and revenue by ensuring their websites are accessible to these users. Developing websites around the needs of those with visual impairments is especially critical as the affluent Baby Boomer generation ages and is faced with a multitude of vision problems. Despite this fast growing, web-reliant population, little work has been done to develop a behavioral model that addresses its needs. Grounded in accessibility and acceptance theories, this research proposes a model that predicts Web usage behavior of blind and low-vision users. Our results show that one of the most widely used acceptance models does not predict the adoption behavior of visually impaired users as effectively as a modified model that includes information accessibility. Those with visual impairments decide to revisit a website based, in part, on its accessibility as well as its ease of use and usefulness. These results suggest that traditional acceptance models may predict the behavior of users with visual impairments better when reliability and convenience of access to Information are also considered. {\textcopyright}2012 Elsevier Ltd. All rights reserved.},
	keywords = {Accessibility, blind, usability, visual disability},
	issn = {1071-5819},
	doi = {10.1016/j.ijhcs.2012.10.015},
	url = {http://dx.doi.org/10.1016/j.ijhcs.2012.10.015},
	author = {Eleanor T. Loiacono and Soussan Djamasbi and Todor Kiryazov}
}
