Page 45 - Handbook of Electronic Assistive Technology
P. 45

32  HANDBOOK OF ELECTRONIC ASSISTIVE TECHNOLOGY



                One difficulty – linked to a lack of awareness – that is often described by neuropsycholo-
             gists working with those with cognitive impairments, is ‘concreteness’. People exhibiting
             concreteness may be oriented toward the present environment and unable to reflect on their
             own behaviour, or think symbolically or in abstract terms (Salas et al., 2013). Concreteness
             is not to be thought of as an impairment to specific cognitive abilities, instead patients that
             are concrete in their thinking experience the world in a different way to those who can ori-
             ent their actions from a conceptual point of view. It could be challenging to introduce EAT
             for patients exhibiting concreteness, especially if the technology requires lengthy training,
             at moments when the patient is not experiencing the difficulty that the technology is there
             to support. For example, if a patient has difficulty with memory and is being taught how to
             use a reminding technology, or even a pencil and paper diary, they may not see the purpose,
             because they say their memory is fine, perhaps citing upcoming events that they remember.
             For patients presenting in this way, it may be necessary to be creative in the way that EAT
             is introduced, and to use techniques that help people become aware of their need for an
             intervention beyond the immediate moments when they have difficulties (Salas et al., 2013).

             Motivation
             Motivation is one aspect of intentional behaviour. It involves the ability to initiate activity
             and, alongside self-awareness, it is another important factor associated with outcomes
             of rehabilitation and technology use (O’Neill and Gillespie, 2017; Wood and Worthington,
             2001).  Those with motivational deficits may present with difficulties in thinking of
             things to do or in initiating activities, even when they are able to carry out quite com-
             plex activities. Some respond well to environmental cues, they will eat or drink what is
             put in front of them, but others will need explicit instructions or prompts (Lezak et al.,
             2004). Understanding the nature of motivation disorders will give an indication of how
             likely a person is to respond to therapeutic interventions or benefit from different types of
             technology. Oddy, Worthington and Francis’ (2009) framework for motivational disorders
             considers the role of arousal and fatigue levels, and six stages of goal-directed activity:
             (1) idea generation, (2) selection, (3) formulation of a plan, (4) initiation, (5) monitoring
             and (6) review and reinforcement. When used to guide assessment and formulation, the
             model can help select the most appropriate interventions, but it may also help a person
             and their family to understand the nature of their difficulties and avoid the frustration
             that commonly occurs in the context of these deficits (Oddy et al., 2009). This framework
             is transferable to the context of an assistive technology assessment, as technology can be
             employed or designed in such a way that supports and promotes its use. For example,
             automated verbal instructions can be provided by a device to reduce the detrimental effect
             that being unable to recall operation instructions may have on initiating use (Cullen et al.,
             2008). Microprompting software can be embedded to support users to correctly set up
             and benefit from devices safely (O’Neill et al., 2010). Environmental or wearable technol-
             ogy can make integrated devices aware of the context that surrounds them (O’Neill and
             Gillespie, 2017), and automatically deliver the required support, prompt or encourage
             users to engage with the device (Oddy and Ramos, 2013; Ramos et al., 2014).
   40   41   42   43   44   45   46   47   48   49   50