评估生理需求和动机状态的基于图像的交流工具的验证:疼痛集

A. Proverbio, F. Pischedda
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摘要

通过开发脑机接口(BCI)系统,本图片词典适合与无法互动的个体(闭锁综合征,LIS)进行交流。它包括60个经过验证的,易于理解的插图,描绘了成年人在各种情况下影响他们的生理或心理状态。这些图画是彩色的,代表了男女和不同种族的人。20名参与者接受了采访,以适当地设计图片词典。另外一组50名年龄在18-33岁的健康成年人(25名女性和25名男性)被招募来验证象形文字语料库。他们的学历从中学到硕士不等。研究人员向参与者展示了五组随机混合的象形图,这些象形图说明了12种不同的动机状态,包括初级和次级需求、情感状态和体感感觉(每种类型有五种变体)。他们必须准确地识别所说明的动机类别(例如,“感到疼痛”或“感到饥饿”),同时在李克特量表上提供有关其清晰度和不模糊性的信息。统计分析提供的证据表明,插图具有很强的交际效果(平均评分为2.7分,评分范围为0到3分),准确率为98.4%。对于LIS患者以及缺乏语言沟通技能的临床人群来说,PAIN组可能是一个有价值的沟通工具。其主要目的是产生内部心理状态的电生理标记,由脑机接口系统自动分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of a pictionary-based communication tool for assessing physiological needs and motivational states: the PAIN set
This Pictionary is suitable for communicating with individual unable to interact (locked-in syndrome, LIS) through the development of Brain Computer Interface (BCI) systems. It includes 60 validated, easy-to-understand illustrated plates depicting adults in various situations affecting their physiological or psychological state. The drawings are in color and represent persons of both sexes and various ethnicities. Twenty participants were interviewed to appropriately design the Pictionary. An additional group of 50 healthy adults (25 women and 25 men) aging 18–33 years was recruited to validate the pictogram corpus. Their schooling levels ranged from middle school to master's degrees. Participants were presented with five runs of randomly mixed pictograms illustrating 12 different motivational states, including primary and secondary needs, affective states, and somatosensory sensations (with five variants for each category). They had to precisely identify the motivational category illustrated (e.g., “Feeling pain” or “Being hungry”) while also providing information about its clarity and unambiguity on a Likert scale. Statistical analyses provided evidence of the strong communicative effectiveness of the illustrations (rated on average 2.7, on a 0 to 3 scale), with an accuracy of 98.4%. The PAIN set could be a valuable communication tool for individuals with LIS, as well as any clinical population lacking verbal communication skills. Its main purpose is to generate electrophysiological markers of internal mental states to be automatically classified by BCI systems.
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