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Automatic Processing and Automatic Social Behavior

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

Robot-Enabled Support of Daily Activities in Smart Home Environments.

Garrett Wilson¹, Christopher Pereyda¹, Nisha Raghunath¹

¹Washington State University, Pullman, WA.

Cognitive Systems Research

|October 1, 2019

Summary

This study introduces Robot Activity Support (RAS), a system integrating robots into smart environments to help individuals with functional limitations. RAS assists with daily activity errors, enhancing independence and support.

Keywords:

activity learning robot assistance smart homes

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Area of Science:

Robotics
Human-Computer Interaction
Assistive Technology

Background:

Smart environments enable activity monitoring and health assessment.
Individuals with functional limitations often require support for daily activities.

Purpose of the Study:

To describe the integration of robots into smart environments for interactive support.
To introduce the Robot Activity Support (RAS) system for detecting and assisting with activity errors.

Main Methods:

Integration of smart environment sensing, object detection, mapping, and robot interaction.
Demonstration of the RAS system in a smart home testbed.
Collection and analysis of participant feedback on RAS usability.

Main Results:

The RAS system effectively partners smart environment sensing with robot interaction.
The system was demonstrated in a functional smart home testbed.
Participant feedback was collected to evaluate usability.

Conclusions:

The RAS system offers a novel approach to interactive support for individuals with functional limitations.
Integration of robots into smart environments shows promise for enhancing daily living assistance.