An exploratory study on how Internet of Things developing companies handle User Experience Requirements

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


[Context and motivation]} Internet of Things (IoT) is becoming common throughout everyday lives. However, the interaction is often different from when using e.g. computers and other smart devices. Furthermore, an IoT device is often dependent on several other systems, heavily impacting the user experience (UX). Finally, the domain is changing rapidly and is driven by technological innovation.

[Question/problem]} In this qualitative study, we explore how companies elicit UX requirements in the context of IoT. A key part of contemporary IoT development is also data-driven approaches. Thus, these are also considered in the study.

\textbf{[Principal idea / Results]}
There is a knowledge gap around data-driven methodologies, there are examples of companies that collect large amount of data but do not always know how to utilize it. Furthermore, many of the companies struggle to handle the larger system context, where their products and the UX they control are only one part of the complete IoT ecosystem.

\textbf{[Contribution]} We provide qualitative empirical data from IoT developing companies. Based on our findings, we identify challenges for the companies and areas for future work.


External organisations
  • Lund University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering
  • Interaction Technologies
Original languageEnglish
Title of host publicationRequirements Engineering
Subtitle of host publicationFoundation for Software Quality - 24th International Working Conference, REFSQ 2018, Proceedings
PublisherSpringer Verlag
Number of pages17
Volume10753 LNCS
ISBN (Electronic)978-3-319-77243-1
ISBN (Print)978-3-319-77242-4
StatePublished - 2018
Publication categoryResearch
Event24th International Working Conference on Requirements Engineering Foundation for Software Quality, REFSQ 2018 - Utrecht, Netherlands
Duration: 2018 Mar 192018 Mar 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10753 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference24th International Working Conference on Requirements Engineering Foundation for Software Quality, REFSQ 2018