Evidence map›Paper›PMID 25815449›Full record

ArticleSensors (Basel, Switzerland)2015

Adaptive software architecture based on confident HCI for the deployment of sensitive services in Smart Homes.

Mario Vega-Barbas, Iván Pau, María Luisa Martín-Ruiz, Fernando Seoane

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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. Review
  2. Characterization of User-Centered Security in Telehealth Services.International journal of environmental research and public health · 2019
    Article
  3. Article
  4. Article
  5. Review
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.

Mario Vega-BarbasSchool of Technology and Health, KTH-Royal Institute of Technology, Huddinge SE-14152, Sweden. mariovb@kth.se.
Iván PauSIC research group, ETSIST, Universidad Politécnica de Madrid, Ctra. Valencia Km. 7, Madrid 28038, Spain. ipau@diatel.upm.es.
María Luisa Martín-RuizSIC research group, ETSIST, Universidad Politécnica de Madrid, Ctra. Valencia Km. 7, Madrid 28038, Spain.
Fernando SeoaneSchool of Technology and Health, KTH-Royal Institute of Technology, Huddinge SE-14152, Sweden. fsm@kth.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart spaces foster the development of natural and appropriate forms of human-computer interaction by taking advantage of home customization. The interaction potential of the Smart Home, which is a special type of smart space, is of particular interest in fields in which the acceptance of new technologies is limited and restrictive. The integration of smart home design patterns with sensitive solutions can increase user acceptance. In this paper, we present the main challenges that have been identified in the literature for the successful deployment of sensitive services (e.g., telemedicine and assistive services) in smart spaces and a software architecture that models the functionalities of a Smart Home platform that are required to maintain and support such sensitive services. This architecture emphasizes user interaction as a key concept to facilitate the acceptance of sensitive services by end-users and utilizes activity theory to support its innovative design. The application of activity theory to the architecture eases the handling of novel concepts, such as understanding of the system by patients at home or the affordability of assistive services. Finally, we provide a proof-of-concept implementation of the architecture and compare the results with other architectures from the literature.

Identifiers

PMID25815449
PMCPMC4431291

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.