Pain Expressions in Dementia: Validity of Observers' Pain Judgments as a Function of Angle of Observation

被引:11
|
作者
Browne, M. Erin [1 ,2 ]
Hadjistavropoulos, Thomas [1 ,2 ]
Prkachin, Kenneth [3 ]
Ashraf, Ahmed [4 ]
Taati, Babak [4 ,5 ,6 ]
机构
[1] Univ Regina, Dept Psychol, Regina, SK, Canada
[2] Univ Regina, Ctr Aging & Hlth, Regina, SK, Canada
[3] Univ Northern British Columbia, Dept Psychol, Prince George, BC, Canada
[4] Univ Toronto, Toronto Rehabil Inst, Toronto, ON, Canada
[5] Univ Toronto, Inst Biomat & Biomed Engn, Toronto, ON, Canada
[6] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
基金
加拿大健康研究院;
关键词
Nonverbal expression; PACSLAC-II; Behavioral assessment; Older adults; Elderly; FACIAL EXPRESSION; ASSESSMENT TOOLS; LIMITED ABILITY; OLDER-ADULTS; COMMUNICATION; VALIDATION; CHECKLIST; SCALE;
D O I
10.1007/s10919-019-00303-4
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Facial expressions of pain are important in assessing individuals with dementia and severe communicative limitations. Though frontal views of the face are assumed to allow for the most valid and reliable observational assessments, the impact of viewing angle is unknown. We video-recorded older adults with and without dementia using cameras capturing different observational angles (e.g., front vs. profile view) both during a physiotherapy examination designed to identify painful areas and during a baseline period. Facial responses were coded using the fine-grained Facial Action Coding System, as well as a systematic clinical observation method. Coding was conducted separately for panoramic (incorporating left, right, and front views), and a profile view of the face. Untrained observers also judged the videos in a laboratory setting. Trained coder reliability was satisfactory for both the profile and panoramic view. Untrained observer judgments from a profile view were substantially more accurate compared to the front view and accounted for more variance in differentiating non-painful from painful situations. The findings add specificity to the communications models of pain (clarifying factors influencing observers' ability to decode pain messages). Perhaps more importantly, the findings have implications for the development of computer vision algorithms and vision technologies designed to monitor and interpret facial expressions in a pain context. That is, the performance of such automated systems is heavily influenced by how reliably these human annotations could be provided and, hence, evaluation of human observers' reliability, from multiple angles of observation, has implications for machine learning development efforts.
引用
收藏
页码:309 / 327
页数:19
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