User modeling in a social network for cognitively disabled people

Abstract

Online communities are becoming an important tool in the communication and participation processes in our society. However, the most widespread applications are difficult to use for people with disabilities, or may involve some risks if no previous training has been undertaken. This work describes a novel social network for cognitively disabled people along with a clusteringbased method for modeling activity and socialization processes of its users in a noninvasive way. This closed social network is specifically designed for people with cognitive disabilities, called Guremintza, that provides the network administrators (e.g., social workers) with two types of reports: summary statistics of the network usage and behavior patterns discovered by a data mining process. Experiments made in an initial stage of the network show that the discovered patterns are meaningful to the social workers and they find them useful in monitoring the progress of the users.

The State of Web Accessibility for People with Cognitive Disabilities: A Rapid Evidence Assessment

“…Several interesting themes arose from this type of data. Even if the website or web app met the highest WCAG standards, if it was not relevant to or immediately useful for the participants, then participants tended to dislike the website/web app or rate it poorly [ 30 , 31 , 32 , 33 ]. Then, beyond pure accessibility or usability, other things that are important to people with cognitive disabilities, such as opportunities to build community, share their true identities, and share expertise [ 34 , 35 ].…”

“…Many studies, 14 to be exact, either developed novel tools through the study or explored the use of novel tools created by the authors [ 31 , 38 , 40 , 41 , 47 , 50 , 51 , 58 , 60 , 62 , 63 , 64 , 65 , 66 ]. Additionally, 17 studies [ 30 , 32 , 33 , 34 , 35 , 36 , 42 , 45 , 49 , 53 , 55 , 56 , 57 , 62 , 67 , 68 , 69 ] investigated the potential for existing apps or web-based tools to support web accessibility for PwCDs. Existing tools examined in these studies include: Google apps [ 53 ]; CAPTCHA [ 56 ]; FindMyApps [ 32 ] (very poorly rated by users in study); iOS Maps [ 62 ]; iPad Podcast [ 67 ]; Social Support Aid [ 45 ] (very poorly rated by users in study); Read and Write [ 35 ]; ICanEmail [ 35 ]; ReACT [ 33 ] (very poorly rated by users in study); DigiContact [ 69 ]; Existing Social Media Apps and Sites [ 30 , …”

“…Additionally, 17 studies [ 30 , 32 , 33 , 34 , 35 , 36 , 42 , 45 , 49 , 53 , 55 , 56 , 57 , 62 , 67 , 68 , 69 ] investigated the potential for existing apps or web-based tools to support web accessibility for PwCDs. Existing tools examined in these studies include: Google apps [ 53 ]; CAPTCHA [ 56 ]; FindMyApps [ 32 ] (very poorly rated by users in study); iOS Maps [ 62 ]; iPad Podcast [ 67 ]; Social Support Aid [ 45 ] (very poorly rated by users in study); Read and Write [ 35 ]; ICanEmail [ 35 ]; ReACT [ 33 ] (very poorly rated by users in study); DigiContact [ 69 ]; Existing Social Media Apps and Sites [ 30 , 34 , 36 , 57 ]; Existing Search Engines and Databases [ 42 , 55 ]; Newham Easy Read [ 68 ]; WebHelpDyslexia [ 49 ]. …”

“…Many studies, 14 to be exact, either developed novel tools through the study or explored the use of novel tools created by the authors [31,38,40,41,47,50,51,58,60,[62][63][64][65][66]. Additionally, 17 studies [30,[32][33][34][35][36]42,45,49,53,[55][56][57]62,[67][68][69] investigated the potential for existing apps or web-based tools to support web accessibility for PwCDs. Existing tools examined in these studies include:…”

Temporal modeling of basic human values from social network usage

“…Every day, millions of people use social media to share ideas, thoughts, and opinions with their friends, family, and acquaintances. These SNS data bring a wide range of opportunities for researchers to identify cognitive and psychological attributes such as basic human values (Chen, Hsieh, Mahmud, & Nichols, ), personality (Chua & Chua, ; Golbeck, Robles, & Turner, ), behavior (Arbelaitz, Martínez‐Otzeta, & Muguerza, ), and sentiment (Paltoglou, ). In this article, we focus on identifying the change of basic human value priorities of users from their social network uses.…”