Evidence map›Paper›PMID 32066467›Full record

Trial reportJournal of neuroengineering and rehabilitation2020

Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction.

Naomi T Fitter, Mayumi Mohan, Katherine J Kuchenbecker, Michelle J Johnson

Abstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Naomi T FitterCollaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, USA. naomi.fitter@oregonstate.edu.ORCID 0000-0002-6759-5948
Mayumi MohanHaptic Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany.ORCID 0000-0002-0732-4476
Katherine J KuchenbeckerDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-5004-0313
Michelle J JohnsonDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-7964-0304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe worldwide population of older adults will soon exceed the capacity of assisted living facilities. Accordingly, we aim to understand whether appropriately designed robots could help older adults stay active at home.

methodsBuilding on related literature as well as guidance from experts in game design, rehabilitation, and physical and occupational therapy, we developed eight human-robot exercise games for the Baxter Research Robot, six of which involve physical human-robot contact. After extensive iteration, these games were tested in an exploratory user study including 20 younger adult and 20 older adult users.

resultsOnly socially and physically interactive games fell in the highest ranges for pleasantness, enjoyment, engagement, cognitive challenge, and energy level. Our games successfully spanned three different physical, cognitive, and temporal challenge levels. User trust and confidence in Baxter increased significantly between pre- and post-study assessments. Older adults experienced higher exercise, energy, and engagement levels than younger adults, and women rated the robot more highly than men on several survey questions.

conclusionsThe results indicate that social-physical exercise with a robot is more pleasant, enjoyable, engaging, cognitively challenging, and energetic than similar interactions that lack physical touch. In addition to this main finding, researchers working in similar areas can build on our design practices, our open-source resources, and the age-group and gender differences that we found.

Indexed as

Interpersonal RelationsMotivationRoboticsAgedExerciseFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultExercise gamesPersonal robotsPhysical human-robot interactionSocially assistive robotics

Identifiers

PMID32066467
PMCPMC7027056

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.