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Supporting the Self-Management of Chronic Pain Conditions with Tailored Momentary Self-Assessments.
Adams, Phil; Murnane, Elizabeth L; Elfenbein, Michael; Wethington, Elaine; Gay, Geri.
Afiliación
  • Adams P; Information Science, Cornell University.
  • Murnane EL; Information Science, Cornell University.
  • Elfenbein M; Information Science, Cornell University.
  • Wethington E; Human Development, Cornell University.
  • Gay G; Sociology, Cornell University.
Proc SIGCHI Conf Hum Factor Comput Syst ; 2017: 1065-1077, 2017 May.
Article en En | MEDLINE | ID: mdl-30310887
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc SIGCHI Conf Hum Factor Comput Syst Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc SIGCHI Conf Hum Factor Comput Syst Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos