Towards measuring well-being in smart environments

被引：3

作者：

Halkola, Eija ^{[1
]}

Loven, Lauri ^{[1
]}

Cortes, Marta ^{[1
]}

Gilman, Ekaterina ^{[1
]}

Pirttikangas, Susanna ^{[1
]}

机构：

[1] FIN Univ Oulu, Oulu, Finland

来源：

UBICOMP/ISWC'19 ADJUNCT: PROCEEDINGS OF THE 2019 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2019 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS | 2019年

基金：

芬兰科学院;

关键词：

well-being; sensoring; measurement; smart environment;

D O I：

10.1145/3341162.3344839

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study discusses measurement of well-being in the context of smart environments. We propose an experimental design which induces variation in an individual's flow, stress, and affect for testing different measurement methods. Both qualitative and quantitative measuring methods are applied, with a variety of wearable sensors (EEG sensor, smart ring, heart rate monitor) and video monitoring. Preliminary results show significant agreement with the test structure in the readings of wearable stress and heart rate sensors. Self-assessments, on the contrary, fail to show significant evidence of the experiment structure, reflecting the difficulty of subjective estimation of short-term stress, flow and affect.

引用

页码：1166 / 1169

页数：4