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Technical Perspective: Achieve Big with Devices that Track Small Things
From Communications of the ACM

Technical Perspective: Achieve Big with Devices that Track Small Things

"AuraRing: Precise Electromagnetic Finger Tracking," by Farshid Salemi Parizi, Eric Whitmire, and Shwetak Patel, details the AuraRing system's remarkable ability...

AuraRing
From Communications of the ACM

AuraRing: Precise Electromagnetic Finger Tracking

We present AuraRing, a wearable magnetic tracking system designed for tracking fine-grained finger movement.

Sampling Near Neighbors in Search for Fairness
From Communications of the ACM

Sampling Near Neighbors in Search for Fairness

We propose several efficient data structures for the exact and approximate variants of the fair near neighbor problem.

Technical Perspective: Can Data Structures Treat Us Fairly?
From Communications of the ACM

Technical Perspective: Can Data Structures Treat Us Fairly?

In "Sampling Near Neighbors in Search for Fairness," Aumüller et al. investigate a basic problem in similarity search called near neighbor in the context of fair...

Technical Perspective: Visualization Search: From Sketching to Natural Language
From Communications of the ACM

Technical Perspective: Visualization Search: From Sketching to Natural Language

"Expressive Querying for Accelerating Visual Analytics," by Tarique Siddiqui et al., provides a general abstraction, along with advanced interfaces, focusing on...

Expressive Querying for Accelerating Visual Analytics
From Communications of the ACM

Expressive Querying for Accelerating Visual Analytics

In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching.

Technical Perspective: Evaluating Sampled Metrics Is Challenging
From Communications of the ACM

Technical Perspective: Evaluating Sampled Metrics Is Challenging

"On Sampled Metrics for Item Recommendation," by Walid Krichene and Steffen Rendle, exposes a crucial aspect for the evaluation of algorithms and tools: the impact...

On Sampled Metrics for Item Recommendation
From Communications of the ACM

On Sampled Metrics for Item Recommendation

This paper investigates sampled metrics and shows that it is possible to improve the quality of sampled metrics by applying a correction, obtained by minimizing...

Technical Perspective: Computation Where the (inter)Action Is
From Communications of the ACM

Technical Perspective: Computation Where the (inter)Action Is

"SoundWatch," by Dhruv Jain et al., provides an example of HCI research's vital role in designing architectures that trade off different computational capabilities...

SoundWatch
From Communications of the ACM

SoundWatch: Deep Learning for Sound Accessibility on Smartwatches

We present SoundWatch, a smartwatch-based deep learning application to sense, classify, and provide feedback about sounds occurring in the environment.

Technical Perspective: Leveraging Social Context for Fake News Detection
From Communications of the ACM

Technical Perspective: Leveraging Social Context for Fake News Detection

In "FANG," the authors focus on a strategy of automatically detecting disinformation campaigns on online media with a new graph-based, contextual technique for...

FANG
From Communications of the ACM

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.

Technical Perspective: Exploring Cognitive Bias 'In the Wild'
From Communications of the ACM

Technical Perspective: Exploring Cognitive Bias 'In the Wild'

The authors of "Cognitive Biases in Software Development" rightly highlight the need for situated studies that examine cognitive bias 'in the wild' during software...

Cognitive Biases in Software Development
From Communications of the ACM

Cognitive Biases in Software Development

We conducted a two-part field study to examine the extent to which cognitive biases occur, the consequences of these biases on developer behavior, and the practices...

Technical Perspective: Personalized Recommendation of PoIs to People with Autism
From Communications of the ACM

Technical Perspective: Personalized Recommendation of PoIs to People with Autism

"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs" is an example of work that takes seriously the task of supporting a small group that...

Supporting People with Autism Spectrum Disorders in the Exploration of PoIs
From Communications of the ACM

Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System

We propose a novel Top-N recommendation model that combines information about an autistic user's idiosyncratic aversions with her/his preferences in a personalized...

Technical Perspective: Eyelid Gestures Enhance Mobile Interaction
From Communications of the ACM

Technical Perspective: Eyelid Gestures Enhance Mobile Interaction

"Eyelid Gestures for People with Motor Impairments," by Mingming Fan et al., addresses the accessibility of mobile devices to people with motor impairments.

Eyelid Gestures for People with Motor Impairments
From Communications of the ACM

Eyelid Gestures for People with Motor Impairments

We present an algorithm to detect nine eyelid gestures on smartphones in real time and evaluate it with 12 able-bodied people and four people with severe motor...
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