# title
HaptiMoto: Turn-by-Turn Haptic Route Guidance Interface for Motorcyclists

# abstract
A national study by the Australian Transport Safety Bureau revealed that motorcyclist deaths were nearly thirty times more prevalent than that of drivers of other vehicles. These fatalities represent approximately 5% of all highway deaths each year, yet motorcycles account for only 2% of all registered vehicles in the United States. Motorcyclists are highly exposed on the road, so maintaining situational awareness at all times is crucial. Route guidance systems enable users to efficiently navigate between locations using dynamic visual maps and audio directions, and have been well tested with motorists, but remain unsafe for use by motorcyclists. Audio/visual routing systems decrease motorcyclists' situational awareness and vehicle control, and thus elevate chances of an accident. To enable motorcyclists to take advantage of route guidance while maintaining situational awareness, we created HaptiMoto, a wearable haptic route guidance system. HaptiMoto uses tactile signals to encode the distance and direction of approaching turns, thus avoiding interference with audio/visual awareness. Our evaluations demonstrate that HaptiMoto is both intuitive and a safer alternative for motorcyclists compared to existing solutions.

# publicationOutlet
32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014)

# nameOfConference
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

# authors[].organizations[].label
Institute for Engineering Education and Innovation

# authors[].organizations[].label
Texas A&M Engineering Experiment Station (TEES)

# authors[].organizations[].label
Texas A&M Engineering Experiment Station (TEES)

# authors[].organizations[].label
Institute for Engineering Education and Innovation

# authors[].organizations[].label
Center for Remote Health Technologies and Systems

# authors[].organizations[].label
Texas A&M Engineering Experiment Station (TEES)

# authors[].organizations[].label
Institute for Engineering Education and Innovation

# publisher.label
Association for Computing Machinery (ACM)

# authorList[]
Prasad, M., Taele, P., Goldberg, D., & Hammond, T. A.

# editorList[]
Jones, M., Palanque, P. A., Schmidt, A., & Grossman, T.