SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:hj-43251"
 

Search: onr:"swepub:oai:DiVA.org:hj-43251" > Enhanced Training t...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Riveiro, Maria,1978-Högskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,Skövde Artificial Intelligence Lab (SAIL) (author)

Enhanced Training through Interactive Visualization of Training Objectives and Models

  • Article/chapterEnglish2016

Publisher, publication year, extent ...

  • NATO Science & Technology Organization (STO),2016
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:hj-43251
  • https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-43251URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13129URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • Military forces operate in complex and dynamic environments [1] where bad decisions might have fatal consequences. A key ability of the commander, team and individual warfighter is to quickly adapt to novel situations. Live, Virtual and Constructive training environments all provide elements of best practices for this type of training. However, many of the virtual training are designed without thorough consideration of the effectiveness and efficiency of embedded instructional strategies [2], and without considering the cognitive capabilities and limitations of trainees. As highlighted recently by Stacy and Freeman [3], large military training exercises require a significant commitment of resources, and to net a return on that investment, training scenarios for these events should systematically address well-specified training objectives, even if they often, do not.In order to overcome these shortcomings with both Live and Virtual training systems and following our previous work [4,5,6], this paper presents a design solution for a proof-of-concept prototype that visualizes and manages training objectives and performance measures, at individual and collective levels. To illustrate its functionality we use real-world data from Live training exercises. Finally, this paper discusses how to learn from previous training experiences using data mining methods in order to build training models to provide instructional personalized feedback to trainees.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Gustavsson, Per M.Högskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,Combitech AB,Skövde Artificial Intelligence Lab (SAIL)(Swepub:his)gute (author)
  • Lebram, MikaelHögskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,Interaction Lab(Swepub:his)lebm (author)
  • Bengstsson, MatsSaab Training Systems, Saab AB, Huskvarna, Jönköping, Sweden (author)
  • Blomqvist, PärSaab Training Systems, Saab AB, Huskvarna, Jönköping, Sweden (author)
  • Wallinius, MartinSaab Training Systems, Saab AB, Helsingborg, Sweden (author)
  • Högskolan i SkövdeInstitutionen för informationsteknologi (creator_code:org_t)

Related titles

  • In:Proceedings of the STO-MP-MSG-143, Ready for the Predictable, Prepared for the Unexpected: NATO Science & Technology Organization (STO)9789283720607

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view