Emotional Internet of Behaviors: A QoE-QoS Adjustment Mechanism

Mina Alipour, Mahyar T. Moghaddam*, Karthik Vaidhyanathan, Tobias Kristensen, Nicolai Krogager Asmussen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


The Internet of Behaviors (IoB) approach supports developing socio-technical systems based on humans’ goals, characteristics, behaviors, and emotions. This paper shows how emotions and behaviors could impact the quality of software systems. We propose interactive control loops that supervise application and architecture adaptations toward enhancing the system quality of service (QoS) and human quality of experience (QoE). Under the IoB conceptual model, we first show how historical and real emotions could be the source of the design and adaptation of socio-technical systems. We further use a Reinforcement Learning (RL)-based approach as a self-adaptation supervisor of user interfaces (UIs) to users’ emotions. The approach aims to maximize applying the essential adaptations and minimize the unnecessary ones towards users’ QoE. If the control system detects a drop in QoS in emotion-based adaptations or other functions, another level of adaptation reconfigures the architecture towards better quality. We used the emotional IoB approach to develop a mobile application as a recommender system in emergency evacuation training. The app takes users’ facial emotions and positions as input and adapts its UI to impact users’ target emotions and task completion. In addition to UI adaptation, the system supports architecture adaptations to decrease response time if required. The evaluation process confirms the efficiency of the RL in iterations, as well as compared to other possible UI adaptation techniques. The results also show that architecture adaptations positively impact the system performance and users’ emotions and performance.
Original languageEnglish
Title of host publicationArtificial Intelligence in HCI - 4th International Conference, AI-HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
EditorsHelmut Degen, Stavroula Ntoa
Publication date9. Jul 2023
ISBN (Print)978-3-031-35890-6
ISBN (Electronic)978-3-031-35891-3
Publication statusPublished - 9. Jul 2023
EventInternational Conference on Human-Computer Interaction: HCII 2023 - Copenhagen, Denmark
Duration: 23. Jul 202328. Jul 2023


ConferenceInternational Conference on Human-Computer Interaction
SeriesLecture Notes in Computer Science


  • Adaptation
  • Emotions
  • Internet of Behaviors
  • Quality of Experience
  • Quality of Service
  • Software Architecture
  • User Interface


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