Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild.

被引：1

作者：

Mamykina, Lena ^{[1
]}

Smaldone, Arlene M. ^{[2
]}

Bakken, Suzanne R. ^{[1
,2
]}

Elhadad, Noemie ^{[1
]}

Mitchell, Elliot G. ^{[1
]}

Desai, Pooja M. ^{[1
]}

Levine, Matthew E. ^{[3
]}

Tobin, Jonathan N. ^{[4
]}

Cassells, Andrea ^{[4
]}

Davidson, Patricia G. ^{[5
]}

Albers, David J. ^{[6
]}

Hripcsak, George ^{[1
]}

机构：

[1] Columbia Univ, Dept Biomed Informat, New York, NY 10027 USA

[2] Columbia Univ, Sch Nursing, New York, NY 10027 USA

[3] CALTECH, Pasadena, CA 91125 USA

[4] Clin Directors Network, New York, NY USA

[5] West Chester Univ, W Chester, PA USA

[6] Univ Colorado Denver, Denver, CO USA

来源：

EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21) | 2021年

关键词：

User studies; clinical trials; deployment in the wild; health; mHealth; self-management; DIABETES SELF-MANAGEMENT; HEALTH; ADOPTION; MODEL;

D O I：

10.1145/3411763.3443437

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we describe two case studies of research projects that attempt to scale up HCI research beyond traditional small evaluation studies. The first of these projects focused on evaluating an interactive web application for promoting problem-solving in self-management of type 2 diabetes mellitus (T2DM) in a randomized clinical trial; the second one included deployment in the wild of a smartphone app that provided individuals with T2DM with personalized predictions for changes in blood glucose levels in response to meals. We highlight lessons learned during these two projects and describe four different design considerations important for large scale studies. These include designing for longevity, diversity, adoption, and abandonment. We then discuss implications for future research that targets large scale deployment studies.

引用

页数：6

共 32 条

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