Emotional Footprints of Email Interruptions

要旨

Working in an environment with constant interruptions is known to affect stress, but how do interruptions affect emotional expression? Emotional expression can have significant impact on interactions among coworkers. We analyzed the video of 26 participants who performed an essay task in a laboratory while receiving either continual email interruptions or receiving a single batch of email. Facial videos of the participants were run through a convolutional neural network to determine the emotional mix via decoding of facial expressions. Using a novel co-occurrence matrix analysis, we showed that with batched email, a neutral emotional state is dominant with sadness being a distant second, and with continual interruptions, this pattern is reversed, and sadness is mixed with fear. We discuss the implications of these results for how interruptions can impact employees' well-being and organizational climate.

キーワード
Email interruptions
emotions
facial expressions
convolutional neural network
co-occurence matrix
著者
Christopher Blank
University of Houston, Houston, TX, USA
Shaila Zaman
University of Houston, Houston, TX, USA
Amanveer Wesley
University of Houston, Houston, TX, USA
Panagiotis Tsiamyrtzis
Politechnico di Milano, Milan, Italy
Dennis R. Da Cunha Silva
Texas A&M University, College Station, TX, USA
Ricardo Gutierrez-Osuna
Texas A&M University, College Station, TX, USA
Gloria Mark
University of California, Irvine, Irvine, CA, USA
Ioannis Pavlidis
University of Houston, Houston, TX, USA
DOI

10.1145/3313831.3376282

論文URL

https://doi.org/10.1145/3313831.3376282

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Emotion, personality & identity

Paper session
316C MAUI
5 件の発表
2020-04-29 20:00:00
2020-04-29 21:15:00
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