This paper explores the key features of disruptive business models in the affective computing industry, where particular business benefit and technological value are yet to be discovered. We designed the business model canvas for emotion recognition (ER) solutions based on analysis of 80 companies from secondary sources, as well as six case studies that we conducted ourselves. Based on these insights, our research highlights the elements in each block of the business model canvas that are typical for emerging technologies, namely not fully understood value proposition, B2B customer segment, free demos and trials in customer relationship, SaaS and technology licensing in revenue streams, investors and academia as key partners and RD as key activity. We designed the canvas as a tool useful for anybody creating or analyzing ventures in emerging tech industries and, in particular, ER solutions. Our study contributes to the existing literature on disruptive business models for technological innovations by consolidating existing practices of ER sector and emphasizing on important patterns for emerging tech industries in general.

Original languageEnglish
Title of host publication2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages350-355
Number of pages6
ISBN (Electronic)9781728138916
DOIs
StatePublished - Sep 2019
Event8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 - Cambridge, United Kingdom
Duration: 3 Sep 20196 Sep 2019

Publication series

Name2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019

Conference

Conference8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
Country/TerritoryUnited Kingdom
CityCambridge
Period3/09/196/09/19

    Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Social Psychology
  • Behavioral Neuroscience

    Research areas

  • Affective Computing, Artificial Intelligence, Disruptive Business Models, Emerging Technologies, Innovation

ID: 86487319