Locked or not? Mental models of IoT feature interaction

Svetlana Yarosh, Pamela Zave

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

16 Scopus citations

Abstract

Internet of Things (IoT) frequently involves conflicting interactions between devices and features that must be resolved to a single system state. The problem of feature interaction (FI) resolution has been investigated in Software Engineering through approaches that focus on verifiability but usually do not include the user in the evaluation. This paper bridges the gap between IoT approaches in HCI and Software Engineering by applying qualitative methods to understanding users' mental models of one representative FI resolution mechanism. Our contributions are in identifying common mental model errors and biases and how these may inform future IoT systems and research.

Original languageEnglish (US)
Title of host publicationCHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages2993-2997
Number of pages5
ISBN (Electronic)9781450346559
DOIs
StatePublished - May 2 2017
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States
Duration: May 6 2017May 11 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2017-May

Other

Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
Country/TerritoryUnited States
CityDenver
Period5/6/175/11/17

Keywords

  • Feature interaction
  • Home automation
  • IoT
  • Mental models

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