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Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1 Issue 4, December 2017

Wordometer Systems for Everyday Life
Olivier Augereau, Charles Lima Sanches, Koichi Kise, Kai Kunze
Article No.: 123
DOI: 10.1145/3161601

We present in this paper a detailed comparison of different algorithms and devices to determine the number of words read in everyday life. We call our system the “Wordometer”. We used three kinds of eye tracking systems in our...

Warming Up to Cold Start Personalization
Nikola Banovic, John Krumm
Article No.: 124
DOI: 10.1145/3161175

Smart agents face abandonment if they are unable to provide value to the users from the very first interaction. Existing smart agents take time to learn about new users before they can offer them personalized services. We present a method for...

Bites‘n’Bits: Inferring Eating Behavior from Contextual Mobile Data
Joan-Isaac Biel, Nathalie Martin, David Labbe, Daniel Gatica-Perez
Article No.: 125
DOI: 10.1145/3161161

We collect and analyze mobile data about everyday eating occasions to study eating behavior in relation to its context (time, location, social context, related activities and physical activity). Our contributions are three-fold. First, we deployed...

A Comparative Evaluation of Spatial Targeting Behaviour Patterns for Finger and Stylus Tapping on Mobile Touchscreen Devices
Daniel Buschek, Julia Kinshofer, Florian Alt
Article No.: 126
DOI: 10.1145/3161160

Models of 2D targeting error patterns have been applied as a valuable computational tool for analysing finger touch behaviour on mobile devices, improving touch accuracy and inferring context. However, their use in stylus input is yet unexplored....

Predicting the Suitability of Service Animals Using Instrumented Dog Toys
Ceara Byrne, Jay Zuerndorfer, Larry Freil, Xiaochuang Han, Andrew Sirolly, Scott Cilliland, Thad Starner, Melody Jackson
Article No.: 127
DOI: 10.1145/3161184

Working dogs1 are significantly beneficial to society; however, a substantial number of dogs are released from time consuming and expensive training programs because of unsuitability in behavior. Early prediction of successful service dog...

RF-Copybook: A Millimeter Level Calligraphy Copybook based on commodity RFID
Liqiong Chang, Jie Xiong, Ju Wang, Xiaojiang Chen, Yu Wang, Zhanyong Tang, Dingyi Fang
Article No.: 128
DOI: 10.1145/3161191

As one of the best ways to learn and appreciate the Chinese culture, Chinese calligraphy is widely practiced and learned all over the world. Traditional calligraphy learners spend a great amount of time imitating the image templates of reputed...

SnapLink: Fast and Accurate Vision-Based Appliance Control in Large Commercial Buildings
Kaifei Chen, Jonathan Fürst, John Kolb, Hyung-Sin Kim, Xin Jin, David E. Culler, Randy H. Katz
Article No.: 129
DOI: 10.1145/3161173

As the number and heterogeneity of appliances in smart buildings increases, identifying and controlling them becomes challenging. Existing methods face various challenges when deployed in large commercial buildings. For example, voice command...

RADAR: Road Obstacle Identification for Disaster Response Leveraging Cross-Domain Urban Data
Longbiao Chen, Xiaoliang Fan, Leye Wang, Daqing Zhang, Zhiyong Yu, Jonathan Li, Thi-Mai-Trang Nguyen, Gang Pan, Cheng Wang
Article No.: 130
DOI: 10.1145/3161159

Typhoons and hurricanes cause extensive damage to coast cities annually, demanding urban authorities to take effective actions in disaster response to reduce losses. One of the first priority in disaster response is to identify and clear road...

Money Drives: Can Monetary Incentives based on Real-Time Monitoring Improve Driving Behavior?
Yehoshua Shuki Cohen, Erez Shmueli
Article No.: 131
DOI: 10.1145/3161417

This paper examines the effectiveness of monetary incentives based on real-time monitoring as means to improve driving behavior of company car drivers. We conducted a 5-months 60-drivers field study with one of the largest public transportation...

Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation
Mariella Dimiccoli, Juan Marín, Edison Thomaz
Article No.: 132
DOI: 10.1145/3161190

Recent advances in wearable camera technology and computer vision algorithms have greatly enhanced the automatic capture and recognition of human activities in real-world settings. While the appeal and utility of wearable camera devices for...

Privacy-preserving Image Processing with Binocular Thermal Cameras
Erin Griffiths, Salah Assana, Kamin Whitehouse
Article No.: 133
DOI: 10.1145/3161198

Today, cameras and digital image processing are transforming industries and the human environment with rich, informative sensing. However, image processing is not utilized nearly as much in homes where concerns about image privacy dominate. In a...

ObjectSkin: Augmenting Everyday Objects with Hydroprinted Touch Sensors and Displays
Daniel Groeger, Jürgen Steimle
Article No.: 134
DOI: 10.1145/3161165

Augmenting everyday objects with interactive input and output surfaces is a long-standing topic in ubiquitous computing and HCI research. Existing approaches, however, fail to leverage the objects' full potential, particularly in highly curved...

CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban Data
Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu
Article No.: 135
DOI: 10.1145/3161411

Chain businesses have been dominating the market in many parts of the world. It is important to identify the optimal locations for a new chain store. Recently, numerous studies have been done on chain store location recommendation. These studies...

Modelling Passengers' Reaction to Dynamic Prices in Ride-on-demand Services: A Search for the Best Fare
Suiming Guo, Chao Chen, Yaxiao Liu, Ke Xu, Dah Ming Chiu
Article No.: 136
DOI: 10.1145/3161194

In emerging ride-on-demand (RoD) services such as Uber and Didi (in China), dynamic prices play an important role in regulating supply and demand, trying to improve the service quality for both drivers and passengers. In this paper, we take a new...

Auth ‘n’ Scan: Opportunistic Photoplethysmography in Mobile Fingerprint Authentication
Takahiro Hashizume, Takuya Arizono, Koji Yatani
Article No.: 137
DOI: 10.1145/3161189

Recent commodity smartphones have biometric sensing capabilities, allowing their daily use for authentication and identification. This increasing use of biometric systems motivates us to design an opportunistic way to sense user's additional...

Effects of Lateral Eye Displacement on Comfort While Reading from a Video Display Terminal
Malcolm Haynes, Thad Starner
Article No.: 138
DOI: 10.1145/3161177

Some small field-of-view (FOV) head worn displays (HWD), like Epson's Moverio BT-300, are mounted directly in the user's line of sight. In contrast, Google Glass is mounted “out of the way” and above the line of sight. Other displays...

iTour: Making Tourist Maps GPS-Enabled
Chih-Hsiang Hsu, Chia-Lun Ku, Yung-Ju Chang, Yu-Shuen Wang, Uyn-Dinh Trân, Wen-Hao Cheng, Chu-Yuan Yang, Ching-Yu Hsieh, Chun-Cheng Lin
Article No.: 139
DOI: 10.1145/3161167

Although tourist maps are useful resources for people to visit scenic areas, they are also commonly distorted and omit details according to the purposes and functions of a map. In this paper, we present iTour, a semi-automatic system that turns...

CTS: A Cellular-based Trajectory Tracking System with GPS-level Accuracy
Xingyu Huang, Yong Li, Yue Wang, Xinlei Chen, Yu Xiao, Lin Zhang
Article No.: 140
DOI: 10.1145/3161185

GPS has been widely used for locating mobile devices on the road map. Due to its high power consumption and poor signal penetration, GPS is unfortunately unsuitable to be used for continuously tracking low-power devices. Compared with GPS-based...

3DLoc: 3D Features for Accurate Indoor Positioning
Zengshi Huang, Naijie Gu, Jianlin Hao, Jie Shen
Article No.: 141
DOI: 10.1145/3161409

A variety of indoor applications require both accurate location and orientation, such as indoor navigation and augmented reality. This paper presents 3DLoc, with which you can find your location and orientation by pointing your smartphone camera...

Early Destination Prediction with Spatio-temporal User Behavior Patterns
Ryo Imai, Kota Tsubouchi, Tatsuya Konishi, Masamichi Shimosaka
Article No.: 142
DOI: 10.1145/3161197

Predicting user behavior makes it possible to provide personalized services. Destination prediction (e.g. predicting a future location) can be applied to various practical applications. An example of destination prediction is personalized GIS...