Emotion Elicitation and Capture among Real Couples in the Lab


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Date

2020-04-25

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

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Data

Abstract

Couples’ relationships affect partners’ mental and physical well-being. Automatic recognition of couples’ emotions will not only help to better understand the interplay of emotions, intimate relationships, and health and well-being, but also provide crucial clinical insights into protective and risk factors of relationships, and can ultimately guide interventions. However, several works developing emotion recognition algorithms use data from actors in artificial dyadic interactions and the algorithms are likely not to perform well on real couples. We are developing emotion recognition methods using data from real couples and, in this paper, we describe two studies we ran in which we collected emotion data from real couples — Dutch-speaking couples in Belgium and German-speaking couples in Switzerland. We discuss our approach to eliciting and capturing emotions and make five recommendations based on their relevance for developing well-performing emotion recognition systems for couples.

Publication status

published

External links

Editor

Book title

Journal / series

Volume

Pages / Article No.

Publisher

ETH Zurich, Department of Management, Technology, and Economics

Event

1st Momentary Emotion Elicitation & Capture workshop (MEEC 2020, cancelled)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Emotion; Couples; Multimodal Sensor Data; Smartphone; Smartwatch

Organisational unit

03681 - Fleisch, Elgar / Fleisch, Elgar check_circle

Notes

Conference cancelled due to Corona virus (COVID-19).

Funding

166348 - Measuring the Impact of Social Support and Common Dyadic Coping on Couple's Dyadic Management of Type II Diabetes by a Novel Ambulatory Assessment Application for the Open Source Behavioral Intervention Platform MobileCoach (SNF)

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