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Cognitive Heat: Exploring the Usage of Thermal Imaging to Unobtrusively Estimate Cognitive Load
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 cognitive states, and ...
Drone Near Me: Exploring Touch-Based Human-Drone Interaction
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 towards a ...
Camera Based Two Factor Authentication Through Mobile and Wearable Devices
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 authentication and ...
Exploring How Drivers Perceive Spatial Earcons in Automated Vehicles
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,
- Richard Li,
- Malcolm Haynes,
- Raj Prateek Kosaraju,
- Ishaan Grover,
- Temiloluwa Prioleau,
- Min Yan Beh,
- Mayank Goel,
- Thad Starner,
- Gregory Abowd
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 self-bias and ...
How to Remember What to Remember: Exploring Possibilities for Digital Reminder Systems
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
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 making ...
SeismoWatch: Wearable Cuffless Blood Pressure Monitoring Using Pulse Transit Time
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 the ...
Rapid: A Multimodal and Device-free Approach Using Noise Estimation for Robust Person Identification
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 applications. ...
Does this App Really Need My Location?: Context-Aware Privacy Management for Smartphones
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. Platform ...
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
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
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 are still ...
Remote Control by Body Movement in Synchrony with Orbiting Widgets: an Evaluation of TraceMatch
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 where ...
Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments
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. In this ...
Building Cognition-Aware Systems: A Mobile Toolkit for Extracting Time-of-Day Fluctuations of Cognitive Performance
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 participants,...
If It’s Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations
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 transactions ...
Modus Operandi of Crowd Workers: The Invisible Role of Microtask Work Environments
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 that ...
Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations
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
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
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 from ...
Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors
- Benjamin H. Groh,
- Frank Warschun,
- Martin Deininger,
- Thomas Kautz,
- Christine Martindale,
- Bjoern M. Eskofier
Although ski jumping is a widely investigated sport, competitions and training sessions are rarely supported by state-of-the-art technology. Supporting technologies could focus on a continuous velocity determination and visualization for competitions as ...
SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones
Inferring abnormal glucose events such as hyperglycemia and hypoglycemia is crucial for the health of both diabetic patients and non-diabetic people. However, regular blood glucose monitoring can be invasive and inconvenient in everyday life. We present ...
CrowdStory: Fine-Grained Event Storyline Generation by Fusion of Multi-Modal Crowdsourced Data
Event summarization based on crowdsourced microblog data is a promising research area, and several researchers have recently focused on this field. However, these previous works fail to characterize the fine-grained evolution of an event and the rich ...
QuickTalk: An Association-Free Communication Method for IoT Devices in Proximity
IoT devices are in general considered to be straightforward to use. However, we find that there are a number of situations where the usability becomes poor. The situations include but not limited to the followings: 1) when initializing an IoT device, 2) ...
MindfulWatch: A Smartwatch-Based System For Real-Time Respiration Monitoring During Meditation
With a wealth of scientifically proven health benefits, meditation was enjoyed by about 18 million people in the U.S. alone, as of 2012. Yet, there remains a stunning lack of convenient tools for promoting long-term and effective meditation practice. In ...
Glabella: Continuously Sensing Blood Pressure Behavior using an Unobtrusive Wearable Device
We propose Glabella, a wearable device that continuously and unobtrusively monitors heart rates at three sites on the wearer’s head. Our glasses prototype incorporates optical sensors, processing, storage, and communication components, all integrated ...
Zero-Effort In-Home Sleep and Insomnia Monitoring using Radio Signals
Insomnia is the most prevalent sleep disorder in the US. In-home insomnia monitoring is important for both diagnosis and treatment. Existing solutions, however, require the user to either maintain a sleep diary or wear a sensor while sleeping. Both can ...
Smartwatch Wearing Behavior Analysis: A Longitudinal Study
Smartwaches are the representative wearable or body-worn devices that provide convenient and easy information access. There is a growing body of research work on enabling novel interaction techniques and understanding user experiences of smartwatches. ...
Forma Track: Tracking People based on Body Shape
Knowledge of a person’s whereabouts in the home is key to context-aware applications, but many people do not want to carry or wear a tag or mobile device in the home. Therefore, many tracking systems are now using so-called weak biometrics such as ...
Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation
Quality assessment in cricket is a complex task that is performed by understanding the combination of individual activities a player is able to perform and by assessing how well these activities are performed. We present a framework for inexpensive and ...