将生物传感器集成到基于窗口的控制系统中,对网页的静态和动态视觉内容进行用户情感检测

Q2 Decision Sciences
Fatima M. Isiaka;Awwal Adamu;Zainab Adamu
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引用次数: 1

摘要

在web应用程序和浏览的用户体验中捕捉基本的情感在很多方面都很重要。通常,在线用户体验是通过诸如任务完成时间、调查和生成数据属性的综合测试等有形指标来研究的。在某些情况下,对用户情绪和行为的预测主要取决于任务完成时间和给定时间间隔内的点击次数。然而,这种方法通常是主观的,并且严重依赖于分布假设,使得结果容易出现记录错误。本文旨在提出一种新的方法-窗口动态控制系统-来解决上述问题。设计/方法/方法主要数据来自实验室实验,在此过程中,44名志愿者有同步的生理读数——皮肤电导反应、皮肤温度、眼动行为和生物传感器采集的用户活动属性。基于窗口的动态控制系统(PHYCOB I)集成到生物传感器中,从这些同步的生理读数中收集次要数据属性,并将它们用于两个目的:检测最佳情绪反应和用户的压力水平。该方法的新颖之处在于,它能够将生理读数和眼动记录结合起来,识别网页上隐藏的关联。分析结果表明,当进行模型比较时,控制系统检测基本情绪并在准确性和可靠性方面优于其他传统模型-即,在基于窗口的控制系统环境中,三种模型的平均可恢复自然结构的准确性和可靠性比传统方法更一致。研究局限/启示图形模拟和示例场景只提供了控制的系统设计。该模型的新颖之处在于它抗过拟合的能力,以及在处理特定网页内容时自动评估用户情感的能力。该程序可用于预测网页的哪些内容会引起用户的压力性情绪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of biosensor to a window-based control system for user emotion detection to static and dynamic visual contents of webpages
Purpose – Basic capturing of emotion on user experience of web applications and browsing is important in many ways. Quite often, online user experience is studied via tangible measures such as task completion time, surveys and comprehensive tests from which data attributes are generated. Prediction of users' emotion and behaviour in some of these cases depends mostly on task completion time and number of clicks per given time interval. However, such approaches are generally subjective and rely heavily on distributional assumptions making the results prone to recording errors. This paper aims to propose a novel method – a window dynamic control system – that addresses the foregoing issues. Design/methodology/approach – Primary data were obtained from laboratory experiments during which 44 volunteers had their synchronized physiological readings – skin conductance response, skin temperature, eye movement behaviour and users activity attributes taken by biosensors. The window-based dynamic control system (PHYCOB I) is integrated to the biosensor which collects secondary data attributes from these synchronized physiological readings and uses them for two purposes: for detection of both optimal emotional responses and users' stress levels. The method's novelty derives from its ability to integrate physiological readings and eye movement records to identify hidden correlates on a webpage. Findings – The results from the analyses show that the control system detects basic emotions and outperforms other conventional models in terms of both accuracy and reliability, when subjected to model comparison – that is, the average recoverable natural structures for the three models with respect to accuracy and reliability are more consistent within the window-based control system environment than with the conventional methods. Research limitations/implications – Graphical simulation and an example scenario are only provided for the control's system design. Originality/value – The novelty of the proposed model is its strained resistance to overfitting and its ability to automatically assess user emotion while dealing with specific web contents. The procedure can be used to predict which contents of webpages cause stress-induced emotions to users.
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来源期刊
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
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