Heart Rate-Based Emotion Recognition and Adaptive Emotion Regulation Support with Wrist-Worn Wearables: A Systematic Literature Review

Elias Müller (), Ivo Benke () and Alexander Maedche ()
Additional contact information
Elias Müller: Karlsruhe Institute of Technology (KIT)
Ivo Benke: Karlsruhe Institute of Technology (KIT)
Alexander Maedche: Karlsruhe Institute of Technology (KIT)

A chapter in Information Systems and Neuroscience, 2024, pp 355-366 from Springer

Abstract: Abstract Emotion regulation (ER) is a key skill since emotions play an essential role in personal development and in understanding social interaction. However, ER is unequally developed in humans and many are searching for ways to improve it. Neuro-adaptive systems bear a large potential for support in this endeavour with adaptive ER support based on biosignal. With the widespread use of wrist-worn wearables, new opportunities are emerging to capture biosignals, such as heart rate (HR), from the wearer in everyday life. This opens up the potential to use wrist-worn wearables to provide adaptive ER support. In this paper, we present a systematic literature review to provide an overview of the state-of-the-art in research on HR-based adaptive ER support with wrist-worn wearables. Specifically, we focus on the interplay between emotion recognition, wrist-worn wearables and adaptive ER support. Our findings show that HR-based wrist-worn wearable systems equally intervene via forms of feedback and external regulation by others and only four studies actually adapt the system. Further, many studies focus on response-based regulation or situation modification or selection strategies. To further research, we see research gaps in the ease of application of technical implementation, including biosignal processing and the use of ER support in systems.

Keywords: Emotion recognition; Emotion regulation; NeuroIS; Biosignals; Adaptive systems (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-58396-4_31

Ordering information: This item can be ordered from
http://www.springer.com/9783031583964

DOI: 10.1007/978-3-031-58396-4_31

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().