摘要
针对网页交互过程用户情感难以客观衡量的问题,提出运用用户完成交互任务时的眼动数据来衡量用户情感的方法.首先,选择中文版PAD情感量表及初步眼动指标,通过问卷调查选择代表性网站,并确立交互任务;其次,通过实验获得不同网页交互任务下被试的眼动数据及PAD情感数据,以情感类别为影响因素对眼动数据做方差齐性检验和单因素方差分析,确定与情感变化有关的眼动指标;最后,采用偏最小二乘方法建立眼动指标与用户情感之间的关系模型,并对模型进行有效性和适应性验证.结果表明,该模型可很好地测量用户情感.
Targeted at the difficulity in measuring objectively users＇ emotions in interacting with webs, a method was proposed by using eye movement data. Firstly, the PAD scale in Chinese and the initial eye movement indexes were selected, the representative webs were chosen through a questionnaire, and the interaction tasks were designed. Secondly, the users＇ eye movement and PAD data were obtained through an experiment. Then the eye movement indexes related to emotions were determined after the variance homogeneity test and one-way ANOVA, placing emotional classification as the influential factor. Finally, the relational models between eye movement data and users＇ emotions were constructed with the partial least square method, and the effectiveness and adaptability of the models were verified. The results indicated that the models have good performances in measuring web users＇ emotions.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第1期131-134,143,共5页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(71171041)
国家科技支撑计划项目(2012BAH25F08)
关键词
眼动技术
情感测量
交互任务
PAD量表
PLS
eye tracking
emotional measurement
interactive tasks
PAD scale
PLS （ partial least square）
