Evaluating a Personalizable, Inconspicuous Vibrotactile(PIV) Breathing Pacer for In-the-Moment Affect Regulation

要旨

Given the prevalence and adverse impact of anxiety, there is considerable interest in using technology to regulate anxiety. Evaluating the efficacy of such technology in terms of both the average effect (the intervention efficacy) and the heterogeneous effect (for whom and in what context the intervention was effective) is of paramount importance. In this paper, we demonstrate the efficacy of PIV, a personalized breathing pacer, in reducing anxiety in the presence of a cognitive stressor. We also quantify the relation between our specific stressor and PIV-user engagement. To our knowledge, this is the first mixed-design study of a vibrotactile affect regulation technology which accounts for a specific stressor and for individual differences in relation to the technology's efficacy. Guidelines in this paper can be applied for designing and evaluating other affect regulation technologies.

受賞
Honorable Mention
キーワード
"Haptic
Vibrotactile
Anxiety
Affect Regulation
Affect
Respiration
Slow-paced breathing
Pacer
Wearable
Linear Mixed Model
XGBoost
Shapley Values
Machine Learning
"
著者
Pardis Miri
Stanford University, Palo Alto, CA, USA
Emily Jusuf
Stanford University, Palo Alto, CA, USA
Andero Uusberg
Stanford University, Stanford, CA, USA
Horia Margarit
Stanford University, Palo Alto, CA, USA
Robert Flory
Intel, Hillsboro, OR, USA
Katherine Isbister
University of California, Santa Cruz, Santa Cruz, CA, USA
Keith Marzullo
University of Maryland, College Park, MD, USA
James J. Gross
Stanford University, Stanford, CA, USA
DOI

10.1145/3313831.3376757

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems

セッション: Vibration & haptics

Paper session
Paper
306AB
2020-04-28 01:00:00
2020-04-28 02:15:00
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