Incidental learning of allocentric and egocentric strategies by both men and women in a dual-strategy virtual Morris Water Maze.

In studies of human navigation, an underlying assumption is that, by nature, navigators are proficient with and strongly biased toward using only one strategy, either allocentric (cognitive mapping) or egocentric (stimulus-response based). Further, research often suggests that males are allocentric navigators whereas females are egocentric navigators. We tested these binary assumptions using two versions of a virtual Morris water maze (MWM). The Dual-strategy maze could be solved using either an allocentric or an egocentric strategy. Preferred strategy was tested by alternating test and probe trials. Two "Forced-strategy" probe trials tested navigators' ability to use their non-preferred strategy. Participants then completed the Place maze that was best solved using an allocentric strategy. In the Dual-strategy maze, there was no particular order of acquisition of a preferred strategy and a quarter of participants switched strategies; this switching was bilateral (from egocentric to allocentric and vice-versa). Navigators were most competent in the use of their preferred strategy. Importantly, navigators did learn (incidentally) information related to their non-preferred strategy and were capable of using that strategy. This pattern of results was shown for both males and females, although females did show a stronger preference for egocentric navigation than did males. We concluded that navigators can use all environmental information available to them and that the tendency to view people as innately allocentric or egocentric navigators does not allow for more nuanced investigations of navigational ability. Such investigations would better inform research into deficits in spatial ability in clinical populations.

Transit apps for people with brain injury and other cognitive disabilities: the state of the art.

Individuals with cognitive disability have difficulty using public transit, but little research is directed toward this issue. Recent studies suggest that smartphones may be useful assistive devices in this context. Current objectives were to (1) survey research into difficulties people with cognitive disabilities experience when using public transit, (2) survey the current state of the art of transit and personal navigation applications (apps) and features, (3) recommend best existing transit apps for people with cognitive disability, and (4) recommend the best designs and features of these apps to developers of future transit apps. Potentially useful features were found in four categories: Transit apps for (1) individuals with cognitive disabilities and (2) healthy individuals, and personal navigation apps for (3) individuals with cognitive disabilities and (4) healthy individuals. A total of 159 apps were examined, but only seven were found specific to public transit for cognitive disability. By comparing research recommendations and currently available features, we identified several unmet needs. We note that there appears to be a shortage of apps for this population-function but that there is good research in the area and it is well suited to inform app development.

Simple gaze analysis and special design of a virtual Morris water maze provides a new method for differentiating egocentric and allocentric navigational strategy choice.

We present a novel method of combining eye tracking with specially designed virtual environments to provide objective evidence of navigational strategy selection. A simple, inexpensive video camera with an easily built infrared LED array is used to capture eye movements at 60Hz. Simple algorithms analyze gaze position at the start of each virtual maze trial to identify stimuli used for navigational orientation. To validate the methodology, human participants were tested in two virtual environments which differed with respect to features usable for navigation and which forced participants to use one or another of two well-known navigational strategies. Because the environmental features for the two kinds of navigation were clustered in different regions of the environment (and the video display), a simple analysis of gaze-position during the first (i.e., orienting) second of each trial revealed which features were being attended to, and therefore, which navigational strategy was about to be employed on the upcoming trial.