Haptic Feedback for Passengers Using Public Transport

Jacob, Ricky; Shalaik, Bashir; Winstanley, Adam C.; Mooney, Peter

doi:10.1007/978-3-642-21984-9_3

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…Most transit tools designed to assist blind and low-vision bus riders focus on two issues: helping identify the correct bus to board when waiting at a bus stop [4,27] or providing alerts for an upcoming stop while riding the bus [21,22]. We are interested in addressing a prerequisite challenge: helping visually impaired riders find and verify bus stop locations through the use of physical landmarks and detailed bus stop descriptions (e.g., the presence of benches, bus shelters).…”

Section: Related Workmentioning

confidence: 99%

Improving public transit accessibility for blind riders by crowdsourcing bus stop landmark locations with Google street view

Hara

Azenkot

Campbell

et al. 2013

Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility

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Low-vision and blind bus riders often rely on known physical landmarks to help locate and verify bus stop locations (e.g., by searching for a shelter, bench, newspaper bin). However, there are currently few, if any, methods to determine this information a priori via computational tools or services. In this paper, we introduce and evaluate a new scalable method for collecting bus stop location and landmark descriptions by combining online crowdsourcing and Google Street View (GSV). We conduct and report on three studies in particular: (i) a formative interview study of 18 people with visual impairments to inform the design of our crowdsourcing tool; (ii) a comparative study examining differences between physical bus stop audit data and audits conducted virtually with GSV; and (iii) an online study of 153 crowd workers on Amazon Mechanical Turk to examine the feasibility of crowdsourcing bus stop audits using our custom tool with GSV. Our findings reemphasize the importance of landmarks in non-visual navigation, demonstrate that GSV is a viable bus stop audit dataset, and show that minimally trained crowd workers can find and identify bus stop landmarks with 82.5% accuracy across 150 bus stop locations (87.3% with simple quality control).

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Section: Related Workmentioning

confidence: 99%

Improving public transit accessibility for blind riders by crowdsourcing bus stop landmark locations with Google street view

Hara

Azenkot

Campbell

et al. 2013

Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility

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“…In this system the authors use orientation information along with location for navigation assistance. Haptic feedback has been used in various other systems including alerting passengers using public transport of the arrival at their bus stop using the GPS sensor on the user's mobile device where feedback is provided using the vibration alarm in the phone (Jacob et al 2011a). …”

Section: Haptics As a Modality 622mentioning

confidence: 99%

What’s up that Street? Exploring Streets Using a Haptic GeoWand

Jacob

Mooney

Winstanley

2012

Advances in Location-Based Services

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In this paper we describe a Location-based Service (LBS) 'point to query' system called Haptic GeoWand where we use the orientation of the user to retrieve information for that user along a given street. Haptic GeoWand provides the user with location, orientation, and distance information using varying vibration patterns. This helps to reduce the visual mobile interaction required from the user. With the textual description of query results we use the vibration alarm to provide haptic feedback to the user about the availability and distance to their desired points of interests (POI) along a particular path or street. To test the usability of Haptic GeoWand we developed two mobile prototypes -whereHaptics and whichHaptics. The distance to Point of Interest (POI) information is provided by the whereHaptics which uses vibration feedback of varying frequency to represent distance to the POI. The whichHaptics uses vibration alarms of varying frequency to deliver information about the density of features along a particular street. With our system we demonstrate that the user can point and query the availability of POI along the street which are not directly visible to them but are along the path he/she intends to take. After selecting a POI, the user can follow this route without increased cognitive burden of interaction with the mobile interface. The user is not required to constantly look at the mobile screen. Haptics has proven to be powerful notification technique used to convey quantitative information. To test the system we integrated this with OpenStreetMap as the spatial data source.

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“…Examples include: knowledge discovery for a tourist in a city (Robinson et al, 2009a(Robinson et al, , 2009b and notifications for users who are using public transport (Jacob, Shalaik et al, 2011). There is potential for integration of haptics into mobile GIS.…”

Section: Haptic Feedback For Pedestrian Navigationmentioning

confidence: 99%

“…Jacobson (2002) provides a good overview of the accessibility and usability issues in representing spatial information through multimodal interfaces using visual, audio, and haptics modes. Haptic feedback has been used in various other systems like alerting passengers using public transport about the arrival at the destination bus stop to help them prepare for disembarking (Jacob, Shalaik, Winstanley, & Mooney, 2011).…”

Section: Introductionmentioning

confidence: 99%

Pedestrian navigation using the sense of touch

Jacob

Winstanley

Togher

et al. 2012

Computers, Environment and Urban Systems

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a b s t r a c tHaptics is a feedback technology that takes advantage of the human sense of touch by applying forces, vibrations, and/or motions to a haptic-enabled user device such as a mobile phone. Historically, human-computer interaction has been visual, data, or images on a screen. Haptic feedback can be an important modality in Mobile Location-Based Services like -knowledge discovery, pedestrian navigation and notification systems. In this paper we describe a methodology for the implementation of haptics in four distinct prototypes for pedestrian navigation. Prototypes are classified based on the user's navigation guidance requirements, the user type (based on spatial skills), and overall system complexity. Here haptics is used to convey location, orientation, and distance information to users using pedestrian navigation applications. Initial user trials have elicited positive responses from the users who see benefit in being provided with a ''heads up'' approach to mobile navigation. We also tested the spatial ability of the user to navigate using haptics and landmark images based navigation. This was followed by a test of memory recall about the area. Users were able to successfully navigate from a given origin to a Destination Point without the use of a visual interface like a map. Results show the users of haptic feedback for navigation prepared better maps (better memory recall) of the region as compared to the users of landmark images based navigation.

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Haptic Feedback for Passengers Using Public Transport

Cited by 10 publications

References 14 publications

Improving public transit accessibility for blind riders by crowdsourcing bus stop landmark locations with Google street view

Improving public transit accessibility for blind riders by crowdsourcing bus stop landmark locations with Google street view

What’s up that Street? Exploring Streets Using a Haptic GeoWand

Pedestrian navigation using the sense of touch

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