Towards the definition of a modelling framework for meaningful Human-IoT Interactions

J. Waldo Cervantes-Solis*, Chris Baber

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)
117 Downloads (Pure)

Abstract

A social-like environment for a meaningful Human-IoT collaboration has been previously analysed from the perspective of conveying common goals amongst network participants. However, a clearly defined methodology for their implementation of physical systems is required. This work-in-progress paper provides an exploration of the TAFEI framework as a tool for the design and implementation of smart objects from a usability standpoint, in which a detailed description of a system and its user's interactions could be used by the system designer to architect better interfaces and interaction experiences, focusing on usability and opportunities for 'intelligent' IoT behaviour.

Original languageEnglish
Title of host publicationProceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017) (HCI)
EditorsLynne Hall, Tom Flint, Suzy O’Hara, Phil Turner
PublisherBCS Learning & Development Ltd
Number of pages4
DOIs
Publication statusPublished - 31 Jul 2017
Event31st International BCS Human Computer Interaction Conference: Digital Make Believe, HCI 2017 - Sunderland, United Kingdom
Duration: 3 Jul 20176 Jul 2017

Publication series

NameElectronic Workshops in Computing
ISSN (Electronic)1477-9358

Conference

Conference31st International BCS Human Computer Interaction Conference: Digital Make Believe, HCI 2017
Country/TerritoryUnited Kingdom
CitySunderland
Period3/07/176/07/17

Keywords

  • HCI
  • Internet of Things
  • Task Analysis.
  • Usability

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Towards the definition of a modelling framework for meaningful Human-IoT Interactions'. Together they form a unique fingerprint.

Cite this