Supporting the Self-Management of Chronic Pain Conditions with Tailored Momentary Self-Assessments

Proc SIGCHI Conf Hum Factor Comput Syst. 2017 May:2017:1065-1077. doi: 10.1145/3025453.3025832.

Abstract

To better support the self-management of chronic pain, this paper investigates how those living with the condition prefer to self-assess their pain levels using smartphones. Our work consists of three stages: design ideation and review, an in-lab user study with 10 participants resulting in nine candidate interfaces, and a 3 week field trial of two further honed measures with 12 participants. This research firstly yields a better understanding of participants' strong and sometimes contrasting preferences regarding their self-assessment of pain intensity. We additionally contribute two novel interfaces that support accurate, quick, and repeated use along with other participant-valued interactions (e.g., familiar, relatable, and highly usable). In particular, we focus on designing tailored measures that both enhance respondent motivation as well as minimize the difficulty of meaningful self-assessment by supporting the cog-nitive effort in translating a subjective experience into a single numerical value.

Keywords: H.5.m Information Interfaces and Presentation (e.g., HCI): Miscellaneous; J.3 Life and Medical Sciences: Health; Pain Assessment; Questionnaire Design; Smartphone.