TY - JOUR
T1 - Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System
AU - Zhang, Zhihua
AU - Miehle, Juliana
AU - Matsuda, Yuki
AU - Fujimoto, Manato
AU - Arakawa, Yutaka
AU - Yasumoto, Keiichi
AU - Minker, Wolfgang
N1 - Funding Information:
This work was supported by the Japan Science and Technology Agency, Precursory Research for Embryonic Science and Technology (JST PRESTO) under Grant JPMJPR2039.
Publisher Copyright:
© 2013 IEEE.
PY - 2021
Y1 - 2021
N2 - Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as 'Behavior Change Support Systems'. However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users' motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper - a web-based app that provides interpretations of the users' daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.
AB - Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as 'Behavior Change Support Systems'. However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users' motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper - a web-based app that provides interpretations of the users' daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.
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U2 - 10.1109/ACCESS.2021.3079473
DO - 10.1109/ACCESS.2021.3079473
M3 - Article
AN - SCOPUS:85105866814
SN - 2169-3536
VL - 9
SP - 74778
EP - 74788
JO - IEEE Access
JF - IEEE Access
M1 - 9429258
ER -