Abstract: Facial expression was proven to show a person’s emotions, including 6 basic human emotions, namely happy, sad, surprise, disgusted, angry, and fear. Currently, the recognition of basic emotions is applied using the automatic facial expression analysis software. In fact, not all emotions are performed with the same expressions. This study aims to analyze whether […]

Abstract: The goal of this study was to investigate 65 students’ evidence scores of emotions while they engaged in cognitive and metacognitive self-regulated learning processes as they learned about the circulatory system with MetaTutor, a hypermedia-based intelligent tutoring system. We coded for the accuracy of detecting students’ cognitive and metacognitive processes, and examined how the […]

Abstract: Workers’ performance in indoor offices can be greatly affected by the thermal condition of the environment. However, this effect can be difficult to quantify, especially when the thermal stress is a moderate increase or decrease in temperature and the work productivity cannot be directly measured. Subjects’ high motivation to perform well under experimental conditions […]

Abstract: This work analyzes the decision-making process underlying choice behavior. First, neural and gaze activity were recorded experimentally from different subjects performing a choice task in a Web Interface. Second, choice models were fitted using rational, emotional and attentional features. The model’s predictions were evaluated in terms of their accuracy and rankings were made for […]

Abstract: This work shows the user experience (UX) assessment of a web-based platform for the semi-automatic usability evaluation of websites, UTAssistant, which is primarily addressed to workers in public administration (PA). The study is part (Phase 1) of a multiple assessment methodology which consists of four phases in total: (1) UX in laboratory conditions; (2) […]

Abstract: This paper discusses how to investigate the human element in a control room setting in terms of situational settings (monitoring and active control) and mental state (workload and affect). We show an explorative experiment in a ship bridge simulator context to investigate measurement practices and uncover correlations between mental state and changes in physiology. […]

Abstract: We conducted an eye-tracking study where 32 participants view distorted images of famous artwork and landmarks. We computed the gaze transition entropy and the stationary distribution entropy for their eyemovements both offline (post-process) and online (in real-time). We hypothesized that entropy of participants who recognized the images will be different from those who did […]

Abstract: Emotional experiences have aroused HCI researchers’ interest once these types of experience involve many parts of our body, such as muscles, body postures, and psychophysiological measures. Hedonic experiences give us pleasure and good emotions, and this paper focuses on it. Some psychophysiological measures have already been correlated with both valence and arousal, the main […]

Abstract: This eye tracking study examines participants’ visual attention when solving algorithmic problems in the form of programming problems. The stimuli consisted of a problem statement, example output, and a set of multiple-choice questions regarding variables, data types, and operations needed to solve the programming problems. We recorded eye movements of students and performed an […]

Abstract: Drivers in negative emotional states, such as anger or sadness, are prone to perform bad at driving, decreasing overall road safety for all road users. Recent advances in affective computing, however, allow for the detection of such states and give us tools to tackle the connected problems within automotive user interfaces. We see potential […]