COMMUNICATION AND INFORMATION BARRIERS TO HEALTH ASSISTANCE FOR DEAF PATIENTS

IN BRAZIL, recent regulations require changes in private and public health systems to make special services available to deaf patients. in the present article, the researchers analyze the perceptions of 25 sign language using patients regarding this assistance. The researchers found communication difficulties between these patients and health services staff, as well as a culture clash and a harmful inability among the service providers to distinguish among the roles of companions, caretakers, and professional translator/interpreters. Thus, it became common for the patients to experience prejudice in the course of treatment and information exchange, damage to their autonomy, limits on their access to services, and reduced efficacy of therapy. The researchers conclude that many issues must be dealt with if such barriers to health access are to be overcome, in particular the worrying degree of exclusion of deaf patients from health care systems.

Cross-situational and supervised learning in the emergence of communication

Scenarios for the emergence or bootstrap of a lexicon involve the repeated interaction between at least two agents who must reach a consensus on how to name N objects using H words. Here we consider minimal models of two types of learning algorithms: cross-situational learning, in which the individuals determine the meaning of a word by looking for something in common across all observed uses of that word, and supervised operant conditioning learning, in which there is strong feedback between individuals about the intended meaning of the words. Despite the stark differences between these learning schemes, we show that they yield the same communication accuracy in the limits of large N and H, which coincides with the result of the classical occupancy problem of randomly assigning N objects to H words.