Publications made possible with iMotions

Abstract: Multimodal language analysis often considers relationships between features based on text and those based on acoustical and visual properties. Text features typically outperform non-text features in sentiment analysis or emotion recognition tasks in part because the text features are derived from advanced language models or word embeddings trained on massive data sources while audio […]

Abstract: Native advertising is a type of online advertising that matches the form and function of the platform on which it appears. In practice, the choice between display and in-feed native advertising presents brand advertisers and online news publishers with conflicting objectives. Advertisers face a trade-off between ad clicks and brand recognition, whereas publishers need […]

Abstract: This research fills a gap in the literature regarding face-to-face privacy invasions. Most research in the privacy arena examines information privacy (e.g., credit card and data information) and ignores the privacy component of face-to-face interactions. Using three studies, the authors explore the impact of physical and visual invasions on privacy control. The findings show […]

Abstract: Learning multimodal representations is a fundamentally complex research problem due to the presence of multiple heterogeneous sources of information. Although the presence of multiple modalities provides additional valuable information, there are two key challenges to address when learning from multimodal data: 1) models must learn the complex intra-modal and cross-modal interactions for prediction and […]

Abstract: The lack of typical nonverbal cues in digitally mediated marketing communication (e.g., text messages, social media etc.) creates special challenges for marketers desiring to manage customer relationships. To overcome these limitations, marketers have turned to emojis to convey subtle meaning regarding the message sender (often a service provider) and to elicit positive emotion in […]

Abstract: Medical treatments typically occur in the context of a social interaction between healthcare providers and patients. Although decades of research have demonstrated that patients’ expectations can dramatically affect treatment outcomes, less is known about the influence of providers’ expectations. Here we systematically manipulated providers’ expectations in a simulated clin-ical interaction involving administration of thermal […]

Abstract: Domotic integrates different technologies to facilitate the task in the home area. Domotic tools lead to the design and construction of interactive space with potential fields of use. Emotion Domotics is a research in which it is sought to create an interactive space for testing that its main objective is to react to the […]

Abstract: We conducted a lab-based experiment to investigate relationship between multiple criteria used in information relevance judgments and eye fixation behavior on search engine results. We collected eye-tracking data and conducted gaze-cued retrospective think-aloud (RTA). Data from RTA was coded with criteria used by participants in judging search results as relevant. The criteria were analyzed […]

Abstract: This study investigates overshadowing effect of a celebrity. A term brand visual eclipse (BVE) is coined, the BVE occurs when brand fixation spent is minimal of the celebrity fixation spent. High BVE occurs when brand receive less than or equal to twenty percent fixation spent of the celebrity; moderate BVE occurs when the brand […]

Abstract: By randomizing the order in which participants perform a cognitive test and a food choice task in a controlled experiment, we investigate whether cognitive capacity can be enhanced by the simple act of anticipating food intake. Our findings show that overweight and obese participants exhibit an anticipatory food reward effect, which helped enhance their […]

Abstract: Safety-critical systems (e.g., UAV systems) often incorporate warning modules that alert users regarding imminent hazards (e.g., system failures). However, these warning systems are often not perfect, and trigger false alarms, which can lead to negative emotions and affect subsequent system usage. Although various feedback mechanisms have been studied in the past to counter the […]

Abstract: In this paper, we aim to predict students’ learning performance by combining two-modality sensing variables, namely eye tracking that monitors learners’ eye movements and electroencephalography (EEG) that measures learners’ cerebral activity. Our long-term goal is to use both data to provide appropriate adaptive assistance for students to enhance their learning experience and optimize their […]