-
Emotional expressions associated with therapeutic inertia in multiple sclerosis care
Abstract:Â Background Emotions play a critical role in our daily decisions. However, it remains unclear how and what sort of emotional expressions are associated with therapeutic decisions in multiple sclerosis (MS) care. Our goal was to evaluate the relationship between emotions and affective states (as captured by muscle facial activity and emotional expressions) and TI […]
-
Multimodal Transformer for Unaligned Multimodal Language Sequences
Abstract: Human language is often multimodal, which comprehends a mixture of natural language, facial gestures, and acoustic behaviors. However, two major challenges in modeling such multimodal human language time-series data exist: 1) inherent data non-alignment due to variable sampling rates for the sequences from each modality; and 2) long-range dependencies between elements across modalities. In […]
-
Strong and Simple Baselines for Multimodal Utterance Embeddings
Abstract: Human language is a rich multimodal signal consisting of spoken words, facial expressions, body gestures, and vocal intonations. Learning representations for these spoken utterances is a complex research problem due to the presence of multiple heterogeneous sources of information. Recent advances in multimodal learning have followed the general trend of building more complex models […]
-
A Review of Eye Tracking in Elearning
Abstract: Nowadays, the widespread access to Internet has made the shift from traditional classroom learning to virtual e-learning more accessible than ever. Online education has developed a whole industry both in the private and the public sector. E-learning is either a substitute for tradition learning, usually chosen independently by students, or a complementary for it, […]
-
Eye Tracking as a Method of Neuromarketing for Attention Research—An Empirical Analysis Using the Online Appointment Booking Platform from Mercedes-Benz
Abstract: A good user experience can only be achieved by knowing and understanding users’ wishes, needs and cognitive abilities. The aim of this study is to find out how the user of the online appointment booking interacts with the interface as well as the visualizations. The focus is on the question of whether the new […]
-
Basic Emotion Recogniton using Automatic Facial Expression Analysis Software
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 […]
-
How are students’ emotions related to the accuracy of cognitive and metacognitive processes during learning with an intelligent tutoring system?
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 […]
-
Investigating the effect of indoor thermal environment on occupants’ mental workload and task performance using electroencephalogram
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 […]
-
Rational, Emotional, and Attentional Choice Models for Recommender Systems
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 […]
-
Bio-behavioral and Self-Report User Experience Evaluation of a Usability Assessment Platform (UTAssistant)
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) […]
iMotions is used for some of the most interesting human behavior research studies carried out by top researchers around the world. Contact us to have your publication featured here.
The authors of these publications have used iMotions as a software tool within their research.
10 Most Popular Blogs
- How biosensors increase insights into maternal responses to infants
- Our Top 50 Human Behavior Experts to Follow in 2017
- How to reveal deceptive behavior with eye tracking
- Top 5 Publications of 2022
- Top 11 Eye Tracking Hardware Companies (Ranked)
- Top 5 EEG Research Articles
- 10 Free Eye Tracking Software Programs [Pros and Cons]
- The Psychophysics of Attraction
- 10 TED Talks About Human Behavior Worth Watching
- The Future of Therapy – VR and Biosensors
Publications
Read publications made possible with iMotions
Blog
Get inspired and learn more from our expert content writers
Newsletter
A monthly close up of latest product and research news