Anhong Guo

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While most smartphones today have a rich set of sensors that could be used to infer input (<i>.e.g.</i>, accelerometer, gyroscope, microphone), the primary mode of interaction is still limited to the front-facing touchscreen and several physical buttons on the case. To investigate the potential opportunities for interactions supported by built-in sensors,(More)
The physical constraints of smartwatches limit the range and complexity of tasks that can be completed. Despite interface improvements on smartwatches, the promise of enabling productive work remains largely unrealized. This paper presents <i>WearWrite</i>, a system that enables users to write documents from their smartwatches by leveraging a crowd to help(More)
Wearable and contextually aware technologies have great applicability in task guidance systems. Order picking is the task of collecting items from inventory in a warehouse and sorting them for distribution; this process accounts for about 60% of the total operational costs of these warehouses. Current practice in industry includes paper pick lists and(More)
This 6-page paper was written using the WearWrite system for Android Wear smartwatches. WearWrite lets an author direct a crowd to complete the complex task of writing a paper from their smartwatch. The author injects necessary expertise, while the crowd does the actual writing. This document contains three versions of the paper in sequence: first, the(More)
User identification and differentiation have implications in many application domains, including security, personalization, and co-located multiuser systems. In response, dozens of approaches have been developed, from fingerprint and retinal scans, to hand gestures and RFID tags. In this work, we propose CapAuth, a technique that uses existing, low-level(More)
Experiments suggest that using head-up displays like Google Glass to support parts picking for distribution results in fewer errors than current processes. Making Glass opaque instead of transparent further improves selection efficiency. The Web extra at is a video demonstrating that order picking assisted by head-up display(More)
The world is full of physical interfaces that are inaccessible to blind people, from microwaves and information kiosks to thermostats and checkout terminals. Blind people cannot independently use such devices without at least first learning their layout, and usually only after labeling them with sighted assistance. We introduce <i>VizLens</i> - an(More)
Visually impaired people can struggle to use everyday appliances with inaccessible control panels. To address this problem, we present ApplianceReader - a system that combines a wearable point-of-view camera with on-demand crowdsourcing and computer vision to make appliance interfaces accessible. ApplianceReader sends photos of appliance interfaces that it(More)
Manual order picking is an important part of distribution. Many techniques have been proposed to improve pick efficiency and accuracy. Previous studies compared pick-by-HUD (Head-Up Display) with pick-by-light but without the explicit pick confirmation that is typical in industrial environments. We compare a pick-by-light system designed to emulate deployed(More)
Common appliances have shifted toward flat interface panels, making them inaccessible to blind people. Although blind people can label appliances with Braille stickers, doing so generally requires sighted assistance to identify the original functions and apply the labels. We introduce <i>Facade</i> - a crowdsourced fabrication pipeline to help blind people(More)