From lonely to resilient through humanoid robots: building a new framework of resilience

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

This paper connects different theories and methods from the social sciences and applies them to human-humanoid robot interaction (HHRI) to explain loneliness reduction and the build-up of resilience in older adults through social robots. It allows for user-related aspects such as age, social connectedness, gender role, personality, and need satisfaction as well as robot-related aspects, particularly coaching behaviors and communication styles. From these scientific considerations, solutions to design challenges are pinpointed, proposing novel interaction schemes that enhance the feeling of support and companionship. This paper also opens the way to conducting empirical research to examine HHRI-related designs, measuring user experience in HHRI, while suggesting applications in HHRI in various settings, such as coaching and eldercare.

Original languageEnglish
Article number8232487
Number of pages17
JournalJournal of Robotics
Volume2018
DOIs
Publication statusPublished - 19 Jul 2018

Fingerprint

Human robot interaction
Robots
Social sciences
Communication

Cite this

@article{83a81a04f16e4c429099df4883c4e657,
title = "From lonely to resilient through humanoid robots: building a new framework of resilience",
abstract = "This paper connects different theories and methods from the social sciences and applies them to human-humanoid robot interaction (HHRI) to explain loneliness reduction and the build-up of resilience in older adults through social robots. It allows for user-related aspects such as age, social connectedness, gender role, personality, and need satisfaction as well as robot-related aspects, particularly coaching behaviors and communication styles. From these scientific considerations, solutions to design challenges are pinpointed, proposing novel interaction schemes that enhance the feeling of support and companionship. This paper also opens the way to conducting empirical research to examine HHRI-related designs, measuring user experience in HHRI, while suggesting applications in HHRI in various settings, such as coaching and eldercare.",
author = "Hoorn, {Johan F.}",
year = "2018",
month = "7",
day = "19",
doi = "10.1155/2018/8232487",
language = "English",
volume = "2018",
journal = "Journal of Robotics",
issn = "1687-9600",
publisher = "Hindawi Publishing Corporation",

}

From lonely to resilient through humanoid robots : building a new framework of resilience. / Hoorn, Johan F.

In: Journal of Robotics, Vol. 2018, 8232487, 19.07.2018.

Research output: Contribution to JournalReview articleAcademicpeer-review

TY - JOUR

T1 - From lonely to resilient through humanoid robots

T2 - building a new framework of resilience

AU - Hoorn, Johan F.

PY - 2018/7/19

Y1 - 2018/7/19

N2 - This paper connects different theories and methods from the social sciences and applies them to human-humanoid robot interaction (HHRI) to explain loneliness reduction and the build-up of resilience in older adults through social robots. It allows for user-related aspects such as age, social connectedness, gender role, personality, and need satisfaction as well as robot-related aspects, particularly coaching behaviors and communication styles. From these scientific considerations, solutions to design challenges are pinpointed, proposing novel interaction schemes that enhance the feeling of support and companionship. This paper also opens the way to conducting empirical research to examine HHRI-related designs, measuring user experience in HHRI, while suggesting applications in HHRI in various settings, such as coaching and eldercare.

AB - This paper connects different theories and methods from the social sciences and applies them to human-humanoid robot interaction (HHRI) to explain loneliness reduction and the build-up of resilience in older adults through social robots. It allows for user-related aspects such as age, social connectedness, gender role, personality, and need satisfaction as well as robot-related aspects, particularly coaching behaviors and communication styles. From these scientific considerations, solutions to design challenges are pinpointed, proposing novel interaction schemes that enhance the feeling of support and companionship. This paper also opens the way to conducting empirical research to examine HHRI-related designs, measuring user experience in HHRI, while suggesting applications in HHRI in various settings, such as coaching and eldercare.

UR - http://www.scopus.com/inward/record.url?scp=85051027514&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85051027514&partnerID=8YFLogxK

U2 - 10.1155/2018/8232487

DO - 10.1155/2018/8232487

M3 - Review article

VL - 2018

JO - Journal of Robotics

JF - Journal of Robotics

SN - 1687-9600

M1 - 8232487

ER -