Factors that affect visually impaired users' acceptance of audio and music websites

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.

► A model is proposed that predicts Web usage behavior of blind and low-vision users.
► A modified acceptance model better predicts behavior of visually impaired users.
► Information reliability and convenience help predict Web adoption by the blind.