APPLYING SPATIAL ABILITY ASSESSMENTS TO A PERSONALIZED NAVIGATION ASSISTANT
This paper hypothesizes that a navigation-assistance system (e.g., OnStar™) that is personalized to a single user’s goals, abilities, needs and preferences, can lead to better results than a non-personalized generic version. An experiment is proposed that uses individual performance on spatial ability tests as the basis for personalization. Each subject will be assessed on their “map rotation” abilities. Previous research shows that map rotation is a task involved in navigational map reading. When traveling in a direction (other than a straight line on a map) a person is faced with the rotation task and must choose between one of two strategies: physically rotate the map or mentally rotate the map geometry and accompanying text. Literature also documents the effects of rotation angle on a person’s ability to effectively complete the rotation task. Therefore, map rotation may not be measured in only binary terms (i.e. people can or can not rotate maps), but measured along a continuum, where different people are affected by different angles/rotation thresholds.
Our PNA is part of an ongoing project that
supports pedestrian travel in a city environment. In particular, the SmartBag system has been developed in the Wearable Computing Lab at
The study proposed here is the first in a series of interest. Beyond map rotation, other personalization points can be taken from spatial abilities including visual memory and self-location abilities. We hypothesize, based on previous research, that each of these have the potential to personalize a navigation system to the greatest benefit to an individual.