Evidence map›Paper›PMID 29019939›Full record

ArticleSensors (Basel, Switzerland)2017

Creating Affording Situations: Coaching through Animate Objects.

Chris Baber, Ahmad Khattab, Martin Russell, Joachim Hermsdörfer, Alan Wing

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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

5 authors.

Chris BaberSchool of Engineering, University of Birmingham, Birmingham B15 2TT, UK. c.baber@bham.ac.uk.ORCID 0000-0002-1830-2272
Ahmad KhattabSchool of Engineering, University of Birmingham, Birmingham B15 2TT, UK. in06khattab@gmail.com.
Martin RussellSchool of Engineering, University of Birmingham, Birmingham B15 2TT, UK. m.j.russell@bham.ac.uk.
Joachim HermsdörferDepartment of Sport and Health Sciences, Technische Universität Munchen, 80992 Munchen, Germany. joachim.hermsdoerfer@tum.de.
Alan WingSchool of Psychology, University of Birmingham, Birmingham B15 2TT, UK. a.m.wing@bham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explore the ways in which animate objects can be used to cue actions as part of coaching in Activities of Daily Living (ADL). In this case, changing the appearance or behavior of a physical object is intended to cue actions which are appropriate for a given context. The context is defined by the intention of the users, the state of the objects and the tasks for which these objects can be used. We present initial design prototypes and simple user trials which explore the impact of different cues on activity. It is shown that raising the handle of a jug, for example, not only cues the act of picking up the jug but also encourages use of the hand adjacent to the handle; that combinations of lights (on the objects) and auditory cues influence activity through reducing uncertainty; and that cueing can challenge pre-learned action sequences. We interpret these results in terms of the idea that the animate objects can be used to create affording situations, and discuss implications of this work to support relearning of ADL following brain damage or injury, such as might arise following a stroke.

Indexed as

Activities of Daily LivingCuesHumansMentoringRehabilitationactivities of daily livingaffordanceanimate objectsmultimodal cueingtangible user interface

Identifiers

PMID29019939
PMCPMC5676696

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.