Discovering Statistics Using SPSS
Discovering Statistics Using SPSS
Instant tactile-audio map: enabling access to digital maps for people with visual impairment
Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility
Audio-haptic browser for a geographical information system
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
Making visual maps accessible to the blind
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: users diversity - Volume Part II
COSIT'11 Proceedings of the 10th international conference on Spatial information theory
Generating situated assisting utterances to facilitate tactile-map understanding: a prototype system
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
A haptic-audio interface for acquiring spatial knowledge about apartments
HAID'12 Proceedings of the 7th international conference on Haptic and Audio Interaction Design
Generating situated assisting utterances to facilitate tactile-map understanding: a prototype system
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
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We report on an experiment testing the VAVETaM (Verbally-Assisting Virtual-Environment Tactile Maps) approach for an intelligent multimodal tactile-map system, which was proposed to support blind and visually impaired people in acquiring survey knowledge. In the experiment, participants received two types of assisting utterances while exploring virtual tactile maps in a repeated-measures experiment: (1) only names of map objects and (2) additional information, for example, about spatial relations between the objects. The latter type of verbal assistance was similar to that which humans give when they are asked to verbally assist a map explorer. The virtual tactile maps were presented using a device for haptic human-computer interaction. The data indicate that the spatial knowledge map users acquire consists of two subtypes: knowledge of the structure of map entities that represent objects enabling locomotion (such as streets) and knowledge of the configuration of potential landmarks. Regarding both subtypes together, participants performed significantly better after learning the map with additional verbal information compared to receiving only information about the proper names of objects. A more fine-grained analysis shows that this improvement is only based on knowledge of the configuration of potential landmarks.