mUX: The Journal of Mobile User Experience View Homepage


Ontology type: schema:Periodical      Open Access: True


Journal Info

START YEAR

2014

PUBLISHER

Springer Berlin Heidelberg

LANGUAGE

en

HOMEPAGE

http://muxjournal.springeropen.com

Recent publications latest 20 shown

  • 2016-11-10 Mobile collocated interactions with wearables: past, present, and future
  • 2016-08-26 Challenges in mobile multi-device ecosystems
  • 2016-07-19 Fast and scalable structure-from-motion based localization for high-precision mobile augmented reality systems
  • 2016-06-17 Soft, embodied, situated & connected: enriching interactions with soft wearables
  • 2016-05-05 Exploring smartphone sensors for fall detection
  • 2016-04-19 Modelling and correcting for the impact of the gait cycle on touch screen typing accuracy
  • 2015-03-28 Persuasive and engaging design of a Smartphone App for cycle commuting
  • 2013-10-16 Retraction Note
  • 2013-02-12 A mobile architecture with dynamic message filtering for emergency response environments
  • 2013-01-29 Experiences with AR plots: design issues and recommendations for augmented reality based mobile games
  • 2012-11-30 K-NN query algorithm based on PB-tree with the parallel lines division
  • 2012-11-28 IoT Challenges
  • 2012-10-03 Federated semantic nodes to scale search process in the IoT
  • 2012-10-02 User-centric modeling and processing for ubiquitous events using semantic capability models
  • 2012-09-22 Enhancing spontaneous interaction in opportunistic mobile social networks
  • 2012-09-13 Planning and managing disruptive business models for RFID-startups-The disruptor's arrow of time
  • 2012-09-13 A holistic approach to visualizing business models for the internet of things
  • 2012-06-19 A performative perspective on UX
  • 2012-02-01 Mobile communication for intellectually challenged people: a proposed set of requirements for interface design on touch screen devices
  • 2012-02-01 Quality assessment for mobile media-enriched services: impact of video lengths
  • JSON-LD is the canonical representation for SciGraph data.

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