-
The Study of Facial Muscle Movements for Non-Invasive Thermal Discomfort Detection via Bio-Sensing Technology. Part I: Development of the Experimental Design and Description of the Collected Data
In the time of climate change, as heat waves become a more regular occurrence, indoor thermal comfort is an important factor in day to day life. Due to such circumstances, many researchers have focused their studies on finding an effective solution that will not only enable thermal comfort, but also increase satisfaction within the indoor […] -
How online advertising competes with user-generated content in TripAdvisor. A neuroscientific approach
Drawing on cognitive load theory, congruence research, and dual processing models, the purpose of this study is to determine the effectiveness of online advertising in social media. To this end, three separate studies were conducted. First, using eye-tracking and electroencephalography, we examine the differences, based on whether or not an ad is embedded, in subjects’ […] -
Exploring the Relationship between Speech and Skin Conductance for Real-Time Arousal Monitoring
Monitoring human emotions through wearable systems has become an important area of research. Electrodermal activity (EDA) has proven to be a good indicator of emotional arousal, and numerous works have focused on using EDA data to predict emotional states. However, to successfully integrate EDA data into real-time wearable emotion recognition systems, several challenges of practical […] -
How Soundtracks Shape What We See: Analyzing the Influence of Music on Visual Scenes Through Self-Assessment, Eye Tracking, and Pupillometry
This article presents two studies that deepen the theme of how soundtracks shape our interpretation of audiovisuals. Embracing a multivariate perspective, Study 1 (N = 118) demonstrated, through an online between-subjects experiment, that two different music scores (melancholic vs. anxious) deeply affected the interpretations of an unknown movie scene in terms of empathy felt toward […] -
Visual Preference for Biological Motion in Children and Adults with Autism Spectrum Disorder: An Eye-Tracking Study
Participants with autism spectrum disorder (ASD) (n = 121, mean [SD] age: 14.6 [8.0] years) and typically developing (TD) controls (n = 40, 16.4 [13.3] years) were presented with a series of videos representing biological motion on one side of a computer monitor screen and non-biological motion on the other, while their eye movements were recorded. As predicted, participants […] -
Detecting Differences Between Concealed and Unconcealed Emotions Using iMotions EMOTIENT
Biometric analysis is everywhere – even in our cell phone security through facial and fingerprint recognition. It has recently become widely useful in forensic settings as well, being used for facial, fingerprint/palmprint, iris, and voice identification1. Using the iMotions Facial Expression Analysis software, I looked at detection differences between concealed and unconcealed emotions when presented […] -
Sponsor message processing in live broadcasts—A pilot study on the role of game outcome uncertainty and emotions
Live sport broadcasts can evoke emotions in consumers and allow companies to reach their audience in environments that allow for automatic processing of brand messages. However, only few studies have applied psychophysiological methodologies to assess how the live nature of a competition and viewers’ emotions affect the processing of sponsor messages, and prior research has […] -
Attraction comes from many sources: Attentional and comparative processes in decoy effects
The attraction effect emerges when adding a seemingly irrelevant option (decoy) to a binary choice shifts preference towards a target option. This suggests that choice behaviour is dynamic, i.e., choice values are developed during deliberation, rather than manifesting some pre-existing preference set. Whereas several models of multi alternative and multiattribute decision making consider dynamic choice […] -
Emotion assessment using Machine Learning and low-cost wearable devices
The advancement in bioelectrical measurement technologies and the push towards a higher impact of the Brain Computer Interfaces and Affective Computing in the daily life have made non-invasive and low-priced devices available to the large population to record physiological states. The aim of this study is the assessment of the abilities of the MUSE headband, […] -
Protocol for a single-centre, parallel-group, randomised, controlled, superiority trial on the effects of time-restricted eating on body weight, behaviour and metabolism in individuals at high risk of type 2 diabetes: the REStricted Eating Time (RESET) study
The aim of this study is to investigate the effects of time-restricted eating (TRE) on change in body weight and describe changes in behaviour and metabolism in individuals at high risk of type 2 diabetes. Methods and analysis The REStricted Eating Time (RESET) study is a randomised controlled parallel-group open-label trial. 100 women and men […]
Research Report 2024
In-depth look at the scientific landscape as powered by iMotions software, showcasing groundbreaking research and the impact of our tools in various scientific and industrial fields.
iMotions Science Resources
Looking for white papers, validation reports or research show casing iMotions Multimodal capabilities?
Share Your Research
850+ universities worldwide with an iMotions human behavior lab
73 of the top 100 highest ranked universities
710+ published research papers using iMotions
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.
“Software should be cited on the same basis as any other research product such as a paper or a book; that is, authors should cite the appropriate set of software products just as they cite the appropriate set of papers” (Katz et al., 2020).
We therefore encourage you to cite the use of iMotions where appropriate.
How to cite iMotions
APA
iMotions (10), iMotions A/S, Copenhagen, Denmark, (2024).
Note: adjust the version and year where relevant.
5 Most Popular Blogs
Learn How to Conduct Human Behavior Research with iMotions
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