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  • An Approach to Analyze User’s Emotion in HCI Experiments Using Psychophysiological Measures

    Gated

    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 […]

  • Classification of Strategies for Solving Programming Problems using AoI Sequence Analysis

    Gated

    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 […]

  • Improving Driver Emotions with Affective Strategies

    Gated

    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 […]

  • Moderating effects of prior brand usage on visual attention to video advertising and recall: An eye-tracking investigation

    Gated

    Abstract: For advertisers, attracting attention to video marketing stimuli is paramount to building and refreshing consumers’ brand memories and increasing their propensity to purchase. Research has demonstrated brand users are more likely to recall advertising, possibly suggesting a brand’s commercials draw more attention from current users than potential new customers. Testing whether prior brand usage […]

  • Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity

    Gated

    Abstract: Facial expressions are fundamental to interpersonal communication, including social interaction, and allow people of different ages, cultures, and languages to quickly and reliably convey emotional information. Historically, facial expression research has followed from discrete emotion theories, which posit a limited number of distinct affective states that are represented with specific patterns of facial action. […]

  • Wavelet Phase Coherence Estimation of EEG Signals for Neuromarketing Studies

    Gated

    Abstract: This paper presents an Electroencephalography (EEG), Pulse Plethysmography (PPG) and Galvanic Skin Response (GSR) study for neuromarketing studies, which are related to analysis of relationship between electrodes and emotional stress across to commercial advertisement. Neuromarketing is a field of study with respect the application of neuroscience methods to analyze consumer behavior related to markets. Wavelet […]

  • How does navigation system behavior influence human behavior?

    Gated

    Abstract: Navigation systems are ubiquitous tools to assist wayfinders of the mobile information society with various navigational tasks. Whenever such systems assist with self-localization and path planning, they reduce human effort for navigating. Automated navigation assistance benefits navigation performance, but research seems to show that it negatively affects attention to environment properties, spatial knowledge acquisition, […]

  • Measuring Learning During Search: Differences in Interactions, Eye-Gaze, and Semantic Similarity to Expert Knowledge

    Gated

    Abstract: We investigate the relationship between search behavior, eye – tracking measures, and learning. We conducted a user study where 30 participants performed searches on the web. We measured their verbal knowledge before and after each task in a content-independent manner, by assessing the semantic similarity of their entries to expert vocabulary. We hypothesize that […]

  • Traditional SETA No More: Investigating the Intersection Between Cybersecurity and Cognitive Neuroscience

    Gated

    Abstract: We investigated the role automated behavior plays in contributing to security breaches. Using different forms of phishing, combined with multiple neurophysiological tools, we were able to more fully understand the approaches participants took when they engaged with a phishing campaign. The four participants of this pilot study ranged in their individual characteristics of gender […]

  • Measuring presence in video games: An investigation of the potential use of physiological measures as indicators of presence

    Gated

    Abstract: Presence has become an increasingly central component of Games User Research (GUR) as developments in technology continuously make modern video games more conducive to the sensation of ‘being there’ in virtual environments. The quality of games is now commonly evaluated based on how reliably they elicit presence; however, no standardized objective measure of presence […]

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