Proceedings of the ACM on

Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

Latest Articles

Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service

Traditional urban-scale crowdsourcing approaches suffer from three caveats - lack of complete spatiotemporal coverage, lack of accurate information and lack of sustained engagement of crowd workers. In this paper, we argue that these caveats can be addressed by embedding crowdsourcing tasks into the daily routine of mobile workforces that roam... (more)

An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting

There is growing interest in being able to run neural networks on sensors, wearables and internet-of-things (IoT) devices. However, the computational... (more)

Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing

Assessing performance in the workplace typically relies on subjective evaluations, such as, peer ratings, supervisor ratings and self assessments, which are manual, burdensome and potentially biased.... (more)

RAMT: Real-time Attitude and Motion Tracking for Mobile Devices in Moving Vehicle

Recently a class of new in-vehicle technologies based on off-the-shelf mobile devices have been developed to improve driving safety and experience. For instance, wearables like the smartwatches are utilized to monitor the action of the driver and detect possible secondary tasks. Moreover, wearables can allow a driver to use gesture for in-vehicle... (more)

Multi-Stage Receptivity Model for Mobile Just-In-Time Health Intervention

A critical aspect of mobile just-in-time (JIT) health intervention is proper delivery timing, which correlates with successfully promoting target... (more)

BoostMeUp: Improving Cognitive Performance in the Moment by Unobtrusively Regulating Emotions with a Smartwatch

A person's emotional state can strongly influence their ability to achieve optimal task performance. Aiming to help individuals manage their feelings, different emotion regulation technologies have been proposed. However, despite the well-known influence that emotions have on task performance, no study to date has shown if an emotion regulation... (more)

PocketCare: Tracking the Flu with Mobile Phones Using Partial Observations of Proximity and Symptoms

Mobile phones provide a powerful sensing platform that researchers may adopt to understand proximity interactions among people and the diffusion, through these interactions, of diseases, behaviors, and opinions. However, it remains a challenge to track the proximity-based interactions of a whole community and then model the social diffusion of... (more)

MAC: Measuring the Impacts of Anomalies on Travel Time of Multiple Transportation Systems

Urban anomalies have a large impact on passengers' travel behavior and city infrastructures, which can cause uncertainty on travel time estimation. Understanding the impact of urban anomalies on travel time is of great value for various applications such as urban planning, human mobility studies and navigation systems. Most existing studies on... (more)

Viewport Prediction for Live 360-Degree Mobile Video Streaming Using User-Content Hybrid Motion Tracking

360-degree video streaming has been gaining popularities recently with the rapid growth of adopting... (more)

Understanding Motivators, Constraints, and Practices of Sharing Internet of Things

Smart devices such as mobile phones, tablets, and smart watches are designed under the assumption that they will be used by a single user. In... (more)

Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks

The ubiquity of modern smartphones, because they are equipped with a wide range of sensors, poses a... (more)

On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior Using Cardiac and Respiratory Signals

Drug addiction is a chronic brain-based disorder that affects a person's behavior and leads to an inability to control drug usage. Ubiquitous... (more)


Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) is a premier journal for research relevant to the post-PC era. Computing technology is becoming increasingly pervasive; embedded throughout the environment as well as in mobile devices, wearables, and the Internet of Things. This is leading to a transformative change in the utility that technology can provide to users and societies, and how people relate to technology. IMWUT covers a broad range of topics relevant to this change, such as mobile systems, wearable technologies, and intelligent environments. The scope includes research contributions in systems and infrastructures, new hardware and sensing techniques, and studies of user experiences and societal impact. IMWUT also welcomes contributions on new methodologies and tools, theories and models, as well as visionary and survey papers that help advance the field.

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