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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 3, September 2017

Cognitive Heat: Exploring the Usage of Thermal Imaging to Unobtrusively Estimate Cognitive Load
Yomna Abdelrahman, Eduardo Velloso, Tilman Dingler, Albrecht Schmidt, Frank Vetere
Article No.: 33
DOI: 10.1145/3130898

Current digital systems are largely blind to users’ cognitive states. Systems that adapt to users’ states show great potential for augmenting cognition and for creating novel user experiences. However, most approaches for sensing...

Drone Near Me: Exploring Touch-Based Human-Drone Interaction
Parastoo Abtahi, David Y. Zhao, Jane L. E., James A. Landay
Article No.: 34
DOI: 10.1145/3130899

Personal drones are becoming more mainstream and are used for a variety of tasks, such as delivery and photography. The exposed blades in conventional drones raise serious safety concerns. To address this, commercial drones have been moving...

Camera Based Two Factor Authentication Through Mobile and Wearable Devices
Mozhgan Azimpourkivi, Umut Topkara, Bogdan Carbunar
Article No.: 35
DOI: 10.1145/3131904

We introduce Pixie, a novel, camera based two factor authentication solution for mobile and wearable devices. A quick and familiar user action of snapping a photo is sufficient for Pixie to simultaneously perform a graphical password...

Exploring How Drivers Perceive Spatial Earcons in Automated Vehicles
David Beattie, Lynne Baillie, Martin Halvey
Article No.: 36
DOI: 10.1145/3130901

Automated vehicles seek to relieve the human driver from primary driving tasks, but this substantially diminishes the connection between driver and vehicle compared to manual operation. At present, automated vehicles lack any form of continual,...

EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments
Abdelkareem Bedri, Gregory Abowd, Richard Li, Malcolm Haynes, Raj Prateek Kosaraju, Ishaan Grover, Temiloluwa Prioleau, Min Yan Beh, Mayank Goel, Thad Starner
Article No.: 37
DOI: 10.1145/3130902

Chronic and widespread diseases such as obesity, diabetes, and hypercholesterolemia require patients to monitor their food intake, and food journaling is currently the most common method for doing so. However, food journaling is subject to...

How to Remember What to Remember: Exploring Possibilities for Digital Reminder Systems
R. N. Brewer, M. R. Morris, S. E. Lindley
Article No.: 38
DOI: 10.1145/3130903

Digital reminder systems typically use time and place as triggers to remind people to perform activities. In this paper, we investigate how digital reminder systems could better support the process of remembering in a wider range of situations. We...

Participatory Sensing or Participatory Nonsense?: Mitigating the Effect of Human Error on Data Quality in Citizen Science
Matthias Budde, Andrea Schankin, Julien Hoffmann, Marcel Danz, Till Riedel, Michael Beigl
Article No.: 39
DOI: 10.1145/3131900

Citizen Science with mobile and wearable technology holds the possibility of unprecedented observation systems. Experts and policy makers are torn between enthusiasm and scepticism regarding the value of the resulting data, as their decision...

SeismoWatch: Wearable Cuffless Blood Pressure Monitoring Using Pulse Transit Time
Andrew M. Carek, Jordan Conant, Anirudh Joshi, Hyolim Kang, Omer T. Inan
Article No.: 40
DOI: 10.1145/3130905

The current norm for measuring blood pressure (BP) at home is using an automated BP cuff based on oscillometry. Despite providing a viable and familiar method of tracking BP at home, oscillometric devices can be both cumbersome and inaccurate with...

Rapid: A Multimodal and Device-free Approach Using Noise Estimation for Robust Person Identification
Yuanying Chen, Wei Dong, Yi Gao, Xue Liu, Tao Gu
Article No.: 41
DOI: 10.1145/3130906

Device-free human sensing is a key technology to support many applications such as indoor navigation and activity recognition. By exploiting WiFi signals reflected by human body, there have been many WiFi-based device-free human sensing...

Does this App Really Need My Location?: Context-Aware Privacy Management for Smartphones
Saksham Chitkara, Nishad Gothoskar, Suhas Harish, Jason I. Hong, Yuvraj Agarwal
Article No.: 42
DOI: 10.1145/3132029

The enormous popularity of smartphones, their rich sensing capabilities, and the data they have about their users have lead to millions of apps being developed and used. However, these capabilities have also led to numerous privacy concerns....

Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment
Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg
Article No.: 43
DOI: 10.1145/3131902

Eye contact is a crucial element of non-verbal communication that signifies interest, attention, and participation in social interactions. As a result, measures of eye contact arise in a variety of applications such as the assessment of the social...

Devices and Data and Agents, Oh My: How Smart Home Abstractions Prime End-User Mental Models
Meghan Clark, Mark W. Newman, Prabal Dutta
Article No.: 44
DOI: 10.1145/3132031

With the advent of DIY smart homes and the Internet of Things comes the emergence of user interfaces for domestic human-building interaction. However, the design trade-offs between the different representations of a smart home’s capabilities...

Remote Control by Body Movement in Synchrony with Orbiting Widgets: an Evaluation of TraceMatch
Christopher Clarke, Alessio Bellino, Augusto Esteves, Hans Gellersen
Article No.: 45
DOI: 10.1145/3130910

In this work we consider how users can use body movement for remote control with minimal effort and maximum flexibility. TraceMatch is a novel technique where the interface displays available controls as circular widgets with orbiting targets, and...

Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments
Nediyana Daskalova, Karthik Desingh, Alexandra Papoutsaki, Diane Schulze, Han Sha, Jeff Huang
Article No.: 46
DOI: 10.1145/3130911

Self-experiments allow people to investigate their own individual outcomes from behavior change, often with the aid of personal tracking devices. The challenge is to design scientifically valid self-experiments that can reach conclusive results....

Building Cognition-Aware Systems: A Mobile Toolkit for Extracting Time-of-Day Fluctuations of Cognitive Performance
Tilman Dingler, Albrecht Schmidt, Tonja Machulla
Article No.: 47
DOI: 10.1145/3132025

People’s alertness fluctuates across the day: at some times we are highly focused while at others we feel unable to concentrate. So far, extracting fluctuation patterns has been time and cost-intensive. Using an in-the-wild approach with 12...

If It’s Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations
Afsaneh Doryab, Victoria Bellotti, Alaaeddine Yousfi, Shuobi Wu, John M. Carroll, Anind K. Dey
Article No.: 48
DOI: 10.1145/3130913

Peer-to-Peer Variable Service Transaction (P2P-VST) systems enable people to offer and receive help with a wide range of task types. However, such services are hampered by the difficulty of finding relevant and convenient opportunities for...

Modus Operandi of Crowd Workers: The Invisible Role of Microtask Work Environments
Ujwal Gadiraju, Alessandro Checco, Neha Gupta, Gianluca Demartini
Article No.: 49
DOI: 10.1145/3130914

The ubiquity of the Internet and the widespread proliferation of electronic devices has resulted in flourishing microtask crowdsourcing marketplaces, such as Amazon MTurk. An aspect that has remained largely invisible in microtask crowdsourcing is...

Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations
Petko Georgiev, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo
Article No.: 50
DOI: 10.1145/3131895

Continuous audio analysis from embedded and mobile devices is an increasingly important application domain. More and more, appliances like the Amazon Echo, along with smartphones and watches, and even research prototypes seek to perform multiple...

CrowdPickUp: Crowdsourcing Task Pickup in the Wild
Jorge Goncalves, Simo Hosio, Niels Van Berkel, Furqan Ahmed, Vassilis Kostakos
Article No.: 51
DOI: 10.1145/3130916

We develop and evaluate a new ubiquitous crowdsourcing platform called CrowdPickUp, that combines the advantages of mobile and situated crowdsourcing to overcome their respective limitations. In a 19-day long field study with 70 participants, we...

Intelligent Interruption Management using Electro Dermal Activity based Physiological Sensor for Collaborative Sensemaking
Nitesh Goyal, Susan R. Fussell
Article No.: 52
DOI: 10.1145/3130917

Sensemaking tasks are difficult to accomplish with limited time and attentional resources because analysts are faced with a constant stream of new information. While this information is often important, the timing of the interruptions may detract...