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Tobii Pro

This model was found in 264 unique locations in 37 countries, where it was mentioned from 2005 until recently.

  • mobile eye tracker
  • intelligent eye tracker
  • device
  • glasses
locations where this model was found
264
countries where the model is used
37
related research fields
107
first year this model was mentioned
2005

About the Tobii Pro

Questpair Analytics found the Tobii Pro at 264 research organisations and laboratories in 37 countries, in publications from 2005 until recently. It is used most in Developmental and Educational Psychology, General Psychology and Experimental and Cognitive Psychology.

Usage over time

Mentions per year, 2005–2020

2020 has the most mentions so far.

Research fields

107 related research fields

The Tobii Pro is used by scientists in research fields such as Developmental and Educational Psychology, General Psychology, Experimental and Cognitive Psychology, Arts and Humanities (miscellaneous) and General Medicine.

  • Developmental and Educational Psychology
  • General Psychology
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)
  • General Medicine
  • Sensory Systems
  • Education
  • Psychology (miscellaneous)
  • Ophthalmology
  • Psychiatry and Mental health
  • General Neuroscience
  • Pediatrics, Perinatology and Child Health
  • Cognitive Neuroscience
  • Neuropsychology and Physiological Psychology
  • Language and Linguistics
  • Electrical and Electronic Engineering
  • Linguistics and Language
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Artificial Intelligence
  • Human-Computer Interaction
  • Clinical Psychology
  • Human Factors and Ergonomics
  • Neurology
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Neurology (clinical)
  • Biochemistry
  • Analytical Chemistry
  • Computer Science Applications
  • Behavioral Neuroscience
  • + 77 more

Organisations using this equipment

The model was found at 264 locations in 37 countries.

264 locations in 37 countries
OrganisationInstrumentCityCountry
Department of Mechanical and Process Engineering
Tobii Pro NanoZürichSwitzerland
Lund University
Tobii Pro NanoLundSweden
University of Oulu
Tobii Pro Studio 3.3OuluFinland
University of Ljubljana
Tobii ProLjubljanaSlovenia
University of Applied Science Osnabrueck
Tobii ProOsnabrückGermany
Hokkaido University
Tobii ProSapporoJapan
1–6 of 264

Research that uses the Tobii Pro

Only abstracts that are published under Creative Commons Attribution 4.0 are shown on this page.

Deep Multimodal Fusion Autoencoder for Saliency Prediction of RGB-D Images

In recent years, the prediction of salient regions in RGB-D images has become a focus of research. Compared to its RGB counterpart, the saliency prediction of RGB-D images is more challenging. In this study, we propose a novel deep multimodal fusion autoencoder for the saliency prediction of RGB-D images. The core trainable autoencoder of the RGB-D saliency prediction model employs two raw modalities (RGB and depth/disparity information) as inputs and their corresponding eye-fixation attributes as labels. The autoencoder comprises four main networks: color channel network, disparity channel network, feature concatenated network, and feature learning network. The autoencoder can mine the complex relationship and make the utmost of the complementary characteristics between both color and disparity cues. Finally, the saliency map is predicted via a feature combination subnetwork, which combines the deep features extracted from a prior learning and convolutional feature learning subnetworks. We compare the proposed autoencoder with other saliency prediction models on two publicly available benchmark datasets. The results demonstrate that the proposed autoencoder outperforms these models by a significant margin.

Kengda Huang, Wujie Zhou, Meixin Fang. Computational Intelligence and Neuroscience, 2021, 1-10, 2021.

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Cognitive Distraction State Recognition of Drivers at a Nonsignalized Intersection in a Mixed Traffic Environment

Distracted driving has become a growing traffic safety concern. With advances in autonomous driving and connected vehicle technology, a mixture of various types of intelligent vehicles will become normal in the near future, while more factors that may cause driver cognitive distraction are emerging. However, there are rarely studies on distracted driving in mixed traffic environments. To fill this gap, we conducted a natural driving experiment with three representative events at a nonsignalized intersection in a mixed traffic environment and proposed a novel method of identifying cognitive distraction based on bidirectional long short-term memory (Bi-LSTM) with attention mechanism. Forty participants were recruited for each event, who completed three different cognitive distraction experiments induced by three different secondary tasks in contrast with a normal driving process when passing a nonsignalized intersection. Related driving performance and eye movement data were collected to train and test the Bi-LSTM with attention mechanism model. Compared with the support vector machine (SVM) model, its recognition accuracy rate is 94.33%, which is 3.83% higher than that of the SVM in the total event, which has reasonable applicability for distraction recognition in a mixed traffic environment. Potential applications of this model include distraction alarm and autonomous driving assistance systems, which could avoid road traffic accidents.

Qiang Hua, Lisheng Jin, Yuying Jiang, Ming Gao, Baicang Guo. Advances in Civil Engineering, 2021, 1-16, 2021.

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Linguistic and temporal resources of pre-stored utterances in everyday conversations

Aided communicators often have an opportunity to express themselves with speech-generating devices (SGDs) that produce symbol by symbol (SBS) and/or pre-stored (PS) utterances. Studies on the usage of PS utterances report that these utterances affect conversations positively, but it appears that aided communicators and professionals may have divergent views on their benefits. The aim of this study is to analyse how school-aged aided communicators, their mothers, peers, and speech and language therapists (SLTs) co-construct the social actions of PS utterances during their everyday interactions. The theoretical framework of this study is conversation analysis. This approach to analysing the data enhances our understanding of the linguistic and temporal resources of PS utterances and how they are used to reinforce various rich social actions that promote the progress of aided conversations to resemble natural spoken conversations. The results of this study will help SLTs and teachers in their planning content for SGDs as well as in teaching, and guiding aided communicators and their partners to utilize PS utterances in combination with SBS utterances during their conversations.

Irina Savolainen, Anu Klippi, Tuula Tykkyläinen, Kaisa Launonen. Child Language Teaching and Therapy, 36 (3), 195-214, 2020.

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Adolescents are delayed at inferring complex social intentions in others, but not basic (false) beliefs: An eye-movement investigation

Most developmental research on Theory of Mind (ToM)—our ability to infer the beliefs, intentions, and desires of others—has focused on the preschool years. This is unsurprising as it was previously thought that ToM skills are developed between the ages of 2 and 7 years. Over the last couple of decades however, studies have provided evidence for significant structural and functional changes in the brain areas involved in ToM (the “social brain”) not only during childhood but also during adolescence. Importantly, some of these findings suggest that the use of ToM shows a prolonged development through middle childhood and adolescence. Although evidence from previous studies suggests a protracted development of ToM, the factors that constrain performance during middle childhood and adolescence are only just beginning to be explored. In this article, we report two visual-world eye-tracking studies that focus on the timecourse of predictive inferences. We establish that when the complexity of ToM inferences are at a level which is comparable with standard change-of-location false-belief tasks, then adolescents and adults generate predictions for other agents’ behaviour in the same timecourse. However, when inferences are socially more complex, requiring inferences about higher order mental states, adolescents generate predictive gaze bias at a marked delay relative to adults. Importantly, our results demonstrate that these developmental differences go beyond differences in executive functions (inhibitory control or working memory) and point to distinct expectations between groups and greater uncertainty when predicting actions based on conflicting desires.

Irine Symeonidou, Iroise Dumontheil, Heather J Ferguson, Richard Breheny. Quarterly Journal of Experimental Psychology, 73 (10), 1640-1659, 2020.

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See Me, Like Me! Exploring Viewers’ Visual Attention to and Trait Perceptions of Party Leaders on Instagram

The use of visual self-personalization by politicians to shape perceptions of their character and personality is a prominent form of modern political communication, especially on social media. Yet, little is known about the effect these portrayals have on the visual attention of voters and their impressions of the traits of the politicians depicted. This exploratory study examines the effects of visual self-personalization (professional vs. private focus) by Finnish political leaders of both genders on Instagram. Through a pilot laboratory study, viewers’ visual attention was measured using eye-tracking technology and, in combination with this, leader trait impressions were experimentally examined. The results indicate that photos depicting politicians in professional settings are more attention grabbing and effective in shaping trait impressions than photos showing politicians in private life. Among the recommendations for future research, it is noted that gender aspects should be further explored as this study, by focusing on a gender-egalitarian country, had a limited scope in that respect.

Jenny Lindholm, Tom Carlson, Joachim Högväg. The International Journal of Press/Politics, 26 (1), 167-187, 2020.

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Pupillometry and Hindsight Bias: Physiological Arousal Predicts Compensatory Behavior

According to violation–compensation models of cognitive conflict, experiences that violate expected associations evoke a common, biologically based syndrome of aversive arousal, which in turn motivates compensation efforts to relieve this arousal. However, while substantial research shows that people indeed respond with increased arousal to expectancy violating events, evidence for the motivating role of arousal is rarely found. In two within-subjects studies ( N = 44 and N = 50), we demonstrate evidence for the motivating role of arousal in this violation–compensation process among university students. Using pupillometry and the hindsight bias phenomenon, we show that people respond with greater arousal when presented with expectancy violating information. In turn, we show that the pupillary response is positively related to the amount of hindsight bias being displayed. These findings provide further insights into the process underlying the hindsight bias and, crucially, support key predictions following from threat–compensation models.

Willem W. A. Sleegers, Travis Proulx, Ilja van Beest. Social Psychological and Personality Science, 12 (7), 1146-1154, 2020.

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A Comparison of Eye Tracking Latencies Among Several Commercial Head-Mounted Displays

A number of virtual reality head-mounted displays (HMDs) with integrated eye trackers have recently become commercially available. If their eye tracking latency is low and reliable enough for gaze-contingent rendering, this may open up many interesting opportunities for researchers. We measured eye tracking latencies for the Fove-0, the Varjo VR-1, and the High Tech Computer Corporation (HTC) Vive Pro Eye using simultaneous electrooculography measurements. We determined the time from the occurrence of an eye position change to its availability as a data sample from the eye tracker (delay) and the time from an eye position change to the earliest possible change of the display content (latency). For each test and each device, participants performed 60 saccades between two targets 20° of visual angle apart. The targets were continuously visible in the HMD, and the saccades were instructed by an auditory cue. Data collection and eye tracking calibration were done using the recommended scripts for each device in Unity3D. The Vive Pro Eye was recorded twice, once using the SteamVR SDK and once using the Tobii XR SDK. Our results show clear differences between the HMDs. Delays ranged from 15 ms to 52 ms, and the latencies ranged from 45 ms to 81 ms. The Fove-0 appears to be the fastest device and best suited for gaze-contingent rendering.

Niklas Stein, Diederick C. Niehorster, Tamara Watson, Frank Steinicke, Katharina Rifai, Siegfried Wahl, Markus Lappe. i-Perception, 12 (1), 204166952098333, 2021.

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Questpair Analytics inventorises the usage of scientific equipment such as the Tobii Pro in research organisations and laboratories around the world. Our goal is to make it easier for professionals in research and industry to discover the availability and use cases for specific types of laboratory equipment.

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