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Audiovisual accessibility is traditionally seen as a means of providing access for people with sensory impairments, be it sight or hearing loss (Orero, 2004). Recently, a much broader perspective opened as some also see it as a way of providing linguistic accessibility (Díaz Cintas, 2005; Orero & Matamala, 2007) or even as services that cater for the specific needs of people who "cannot, or cannot properly, access the audiovisual content in its original form" (Greco, 2016: 23). This article fits squarely into this trend as it reports on a survey-based study set out to find out preferences regarding linguistic accessibility in the cinema among unimpaired senior citizens in Poland. On the whole, 40 people aged 60 or more took part in the study. Results show that senior citizens are more likely to choose voice-over and dubbing over subtitling. This could be because the majority of participants declared that they experience discomfort or difficulties when reading subtitles. As a result, they are willing to use a mobile app that would enable them to listen to audio subtitles in the cinemas.

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A wireless sensor-actuator network is formed by nodes capable of sensing and acting upon its environment. Typical challenges in designing such networks include distributed signal processing, synchronisation and communication, as well as deployment of network nodes and scalable architectures for these networks. In this paper, we look at the application of neural networks to individual nodes in a wireless network, which result in a wireless sensor-actuator neural network model. We explain how the combination of sensor network and neural network technology can describe a system which maintains desired characteristics such as scalability and adaptability. We show further that such model can be successfully applied to an evacuation routing scenario.

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