**3. Methods**

text even though readers claimed to spend just a few seconds on text with transposed letters. Also, electroencephalography (EEG) of language processing [3] has concluded that phrases judged as easy to comprehend and highly acceptable sometimes entail a larger processing

Control systems are sometimes used to understand the mechanism behind human computer interaction to provide industry-standard algorithms and applications that systematically analyze, design, and tune linear control systems. In this aspect, a system can be specified as a statespace model, transfer function, frequency-response model, or zero polegain. Some applications and functions, such as step response plot and Bode plot, let us visualize system behavior in time domain and frequency domain, which was observed in the result section of the chapter to analyze the behavior of our final system response. The compensator parameters are tuned using automatic, Bode loop shaping method in MATLAB; this was used to validate the design by verifying the rise time, settling time, phase, and gain margins. To understand the systems dynamics between eye movement and the visual stimuli, we adopt the second differential equation Eq. (1), which represents the prediction focus, 4 min from the detected fixations, and visual contents that induce stress. Therefore, the main objectives of this chapter include:

More work has been carried out in developing comprehensive web-based and software interfaces that can adapt to significant end-user needs. Some of this work requires the development of adaptive algorithms to learn about changes in user interests or emotions [4]. A flawless user interface (UI) would automatically adapt or change its layout and web content elements to suit the needs of the users and similarly allow for users themselves to alter the contents of the UI [5]. Users easily adapt to the less com plex applications due to the cognitive ability to easily familiarize themselves with friendly and well-designed interphases, such as those used as a means of information distribution and learning [6]. Visually complex applications change the way users view content [7]. Reactions from the users can relay quantitative information when physiological sensors are part of the equipment used to study and interpret perception.

Other state-of-the-art techniques, such as that written by Dean C Karnopp et al. [8] and that of Franziska Kretzschmar and Simon P Liversedge et al. [9, 10], try to find the mystery surrounding emotions, how they work, and how they affect our lives have which not yet been unraveled. But recent techniques such as [11–13] developed a system and method provided for detecting emotional states, one of which uses statistics. A speech is first received and then an acoustic parameter is extracted from the speech signal. Then statistics or features from

effort on the part of the readers.

26 Human-Robot Interaction - Theory and Application

• reviewing some related works,

**2. Related works**

• simulating the physiological processes.

• development of a control system for detecting emotions,

• testing the performance of process on multiple orders, and

An experiment was conducted [14, 15] in which a single participant interacted with three different visual interphases—games, webpage, and a textbook. The user's physiological readings were taken alongside the eye movement measured with an eye tracker. The rationale for choosing these interphases is derived from the fact that all stimuli contain dynamic contents and involve cognitive workload on the user that induces slight stress. For creating a system control capable of identifying users' emotion on an interphase, MATLAB was used for its signal processing and system identifiable toolbox capable of developing dynamic systems. The following sections discuss these visuals and tasks involved.
