Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891478076> ?p ?o ?g. }
Showing items 1 to 58 of
58
with 100 items per page.
- W2891478076 abstract "Standard vehicle maintenance activities can be challenging, time-consuming, error-prone, and expensive. While there is a lot of innovative work that has incorporated latest technologies to provide newer forms of interaction between users and vehicles, there has been less inclination towards utilizing these technologies to enhance activities like vehicle maintenance. The ability to draw parallels simultaneously from physical interaction with vehicles and analysis of recorded data is vital to support prompt and effective decision-making. To blur the disparity between these real and virtual worlds, we present gAR-age- an ecosystem that enables maintenance personnel to interact with both worlds in a common setting. By learning from historical changes in vehicular components, user behavior, and feedback, this blended ecosystem allows multi-channel communication among users, featuring personalized contextual insights, thereby enabling users to make data-driven decision on the fly." @default.
- W2891478076 created "2018-09-27" @default.
- W2891478076 creator A5041234455 @default.
- W2891478076 creator A5045091456 @default.
- W2891478076 creator A5066648906 @default.
- W2891478076 creator A5089820010 @default.
- W2891478076 date "2018-09-23" @default.
- W2891478076 modified "2023-09-24" @default.
- W2891478076 title "gAR-age" @default.
- W2891478076 cites W1552238403 @default.
- W2891478076 cites W1569411908 @default.
- W2891478076 cites W1972480630 @default.
- W2891478076 cites W2030636827 @default.
- W2891478076 cites W2047549935 @default.
- W2891478076 cites W2115318637 @default.
- W2891478076 cites W2118898598 @default.
- W2891478076 cites W2122122381 @default.
- W2891478076 cites W2130943454 @default.
- W2891478076 cites W2135768894 @default.
- W2891478076 cites W2136057050 @default.
- W2891478076 cites W2148815948 @default.
- W2891478076 cites W2159094788 @default.
- W2891478076 cites W2302437148 @default.
- W2891478076 cites W3124380021 @default.
- W2891478076 cites W3124779385 @default.
- W2891478076 cites W4229521504 @default.
- W2891478076 cites W4233882810 @default.
- W2891478076 cites W4240199737 @default.
- W2891478076 cites W2026762346 @default.
- W2891478076 doi "https://doi.org/10.1145/3239060.3239075" @default.
- W2891478076 hasPublicationYear "2018" @default.
- W2891478076 type Work @default.
- W2891478076 sameAs 2891478076 @default.
- W2891478076 citedByCount "0" @default.
- W2891478076 crossrefType "proceedings-article" @default.
- W2891478076 hasAuthorship W2891478076A5041234455 @default.
- W2891478076 hasAuthorship W2891478076A5045091456 @default.
- W2891478076 hasAuthorship W2891478076A5066648906 @default.
- W2891478076 hasAuthorship W2891478076A5089820010 @default.
- W2891478076 hasConcept C41008148 @default.
- W2891478076 hasConceptScore W2891478076C41008148 @default.
- W2891478076 hasLocation W28914780761 @default.
- W2891478076 hasOpenAccess W2891478076 @default.
- W2891478076 hasPrimaryLocation W28914780761 @default.
- W2891478076 hasRelatedWork W2093578348 @default.
- W2891478076 hasRelatedWork W2130043461 @default.
- W2891478076 hasRelatedWork W2350741829 @default.
- W2891478076 hasRelatedWork W2358668433 @default.
- W2891478076 hasRelatedWork W2376932109 @default.
- W2891478076 hasRelatedWork W2382290278 @default.
- W2891478076 hasRelatedWork W2390279801 @default.
- W2891478076 hasRelatedWork W2748952813 @default.
- W2891478076 hasRelatedWork W2899084033 @default.
- W2891478076 hasRelatedWork W3004735627 @default.
- W2891478076 isParatext "false" @default.
- W2891478076 isRetracted "false" @default.
- W2891478076 magId "2891478076" @default.
- W2891478076 workType "article" @default.