iMotions Blog
Veröffentlichungen
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2015 2015 IEEE Intelligent Vehicles Symposium Gated Peer-Reviewed
Timing of Unstructured Transitions of Control in Automated Driving
Stanford University + 1 more
Abstract: With automated driving systems, drivers may still be expected to resume full control of the vehicle. While structured transitions where drivers are given warning are desirable, it is critical to benchmark how drivers perform when transition of control is unstructured and occurs without advanced warning. In this study, we observed how participants (N=27) in […]
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2015 Open Access Peer-Reviewed
Dynamic Data Driven Operator Error Early Warning System
Purdue University + 1 more
Abstract: Mitigating human errors is a priority in the design of complex systems, especially through the use of body area networks. This paper describes early developments of a dynamic data driven platform to predict operator error and trigger appropriate intervention before the error happens. Using a two-stage process, data was collected using several sensors (e.g. […]
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2015 SIGIR '15 Gated Peer-Reviewed
Differences in eye-tracking measures between visits and revisits to relevant and irrelevant Web pages
University of Texas at Austin
Abstract: This short paper presents initial results from a project, in which we investigated differences in how users view relevant and irrelevant Web pages on their visits and revisits. The users’ viewing of Web pages was characterized by eye-tracking measures, with a particular attention paid to changes in pupil size. The data was collected in […]
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2015 ASME International Design Engineering Technical Conferences Open Access Peer-Reviewed
Understanding The Utilization Of Information Stimuli in Design Decision Making Using Eye Gaze Data
Shanghai Jiao Tong University + 1 more
Abstract: Research on decision making in engineering design has focused primarily on how to make decisions using normative models given certain information. However, there exists a research gap on how diverse information stimuli are combined by designers in decision making. In this paper, we address the following question: how do designers weigh different information stimuli to […]
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2015 Gated Peer-Reviewed
Products Shared Visual Features Do Not Cancel in Consumer Decisions
Iowa State University + 1 more
Abstract: Consumers’ product purchase decisions typically involve comparing competing products’ visual features and functional attributes. Companies strive for “product differentiation” [1-5], which makes consumers’ product comparisons fruitful but also sometimes challenging. Psychologists that study decision-making have created models of choice such as the cancellation-and-focus (C&F) model. C & Fexplains and predicts how people decide between choice […]
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2015 bioRxiv Open Access Peer-Reviewed
Suppression of human psychophysiological and biochemical stress responses using high-frequency pulse-modulated transdermal electrical neurosignaling
Thync, Inc.
Abstract: We have developed a neuromodulation approach that targets peripheral nerves and utilizes their afferents as signaling conduits to influence brain function. We investigated the effects of this transdermal electrical neurosignaling (TEN) approach on physiological responses to acute stress induction. TEN was targeted to the ophthalmic and maxillary divisions of the right trigeminal nerve and […]
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2015 Procedia Computer Science Open Access Peer-Reviewed
Dynamic Data Driven Approach for Modeling Human Error
Purdue University + 1 more
Abstract: Mitigating human errors is a priority in the design of complex systems, especially through the use of body area networks. This paper describes early developments of a dynamic data driven platform to predict operator error and trigger appropriate intervention before the error happens. Using a two-stage process, data was collected using several sensors (e.g., […]
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2015 iConference 2015 Proceedings Open Access Peer-Reviewed
Towards Inferring Web Page Relevance – An Eye-Tracking Study
University of Texas at Austin
Abstract: We present initial results from a project, in which we examined feasibility of inferring web page relevance from eye-tracking data. We conduced a controlled, lab-based Web search experiment, in which participants conducted assigned information search tasks on Wikipedia. We performed analyses of variance as well as employed classification algorithms in order to predict user […]
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2015 Conference Proceedings IUI '15 Gated Peer-Reviewed
Automatic Detection of Learning-Centered Affective States in the Wild
University of Notre Dame + 1 more
Abstract: Affect detection is a key component in developing intelligent educational interfaces that are capable of responding to the affective needs of students. In this paper, computer vision and machine learning techniques were used to detect students’ affect as they used an educational game designed to teach fundamental principles of Newtonian physics. Data were collected […]
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2014 Sage Language Testing Gated Peer-Reviewed
The use of eye tracking in research on video-based second language (L2) listening assessment: A comparison of context videos and content videos
University of Hawai‘i at Mānoa
Abstract: Investigating how visuals affect test takers’ performance on video-based L2 listening tests has been the focus of many recent studies. While most existing research has been based on test scores and self-reported verbal data, few studies have examined test takers’ viewing behavior (Ockey, 2007; Wagner, 2007, 2010a). To address this gap, in the present […]
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