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  • Deep Multimodal Fusion for Persuasiveness Prediction


    Abstract: Persuasiveness is a high-level personality trait that quantifies the influence a speaker has on the beliefs, attitudes, intentions , motivations, and behavior of the audience. With social multimedia becoming an important channel in propagating ideas and opinions, analyzing persuasiveness is very important. In this work, we use the publicly available Persuasive Opinion Multimedia (POM) […]

  • Automatic assessment of communication skill in interface-based employment interviews using audio-visual cues


    Abstract: Being an effective communicator plays a major role in employment interviews. In this paper, we provide a computational framework to automatically predict the communication skill of a person in an interface-based interview setting. The advantage of interface-based interview setting compared to that of a face-to-face setting is, the participants get assessed without any human […]

  • Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?


    Abstract: In this study, we conduct a Discrete Choice Experiment (DCE) using eye tracking technology to investigate if eye movements during the completion of choice sets reveal in-formation about respondents’ choice certainty. We hypothesise that the number of times that respondents shift their visual attention between the alternatives in a choice set reflects their stated […]

  • Evaluations That Matter: Customer Preferences Using Industry-Based Evaluations and Eye-Gaze Data


    Abstract:  This study is the first stage of a research program aimed at understanding differences in how people process 2D and 3D automotive stimuli, using psychophysiological tools such as galvanic skin response (GSR), eye tracking, electroencephalography (EEG), and facial expressions coding, along with respondent ratings. The current study uses just one measure, eye tracking, and […]

  • Correlation between subjective driver state measures and psychophysiological and vehicular data in simulated driving


    Abstract: Advanced driver assistance systems require better knowledge of the driver’s state. This would allow for adapting driving support functions, e.g. adaptive automation. To detect the emotional and cognitive state of the driver, it is necessary to know which signals contain accurate information about the state. In this paper the results of a driving simulator […]

  • Design of Public Sector Websites: Findings from an Eye Tracking Study Emphasizing Visual Attention and Usability Metrics


    Abstract: This explorative eye tracking study investigates visual attention and perceptions of usability within eGovernment environments. We argue that such insights help in understanding users for better design of user Web experiences. In an initial test to identify areas of interest (AOI) on public sector websites, subjects (n = 8) were exposed to the start […]

  • Development of Dynamic Testing Methods Using Facial Expression Analysis to Evaluate Packaging Design in a Realistic Shopping Environment


    Abstract: 80 to 95 percent of all new product launches fail (Dillon, 2011; Copernicus Marketing, Consulting, and Research, 2013). However, businesses can increase the chances of a successful product launch by better understanding consumer preferences and wants. Research done by McKinsey and Company shows that “more than 80 percent of top performers periodically tested and […]

  • The Impact of Reviews and Average Rating on Hotel-Booking-Intention: A Qualitative Study


    Abstract: User-generated information types (ratings and reviews) are highly used when booking hotel rooms on Online Travel Agency (OTA) websites. The impact of user-generated information on decision-making is often investigated through quantitative research, thereby not examining in depth how and why travelers use this information. This paper therefore presents a qualitative study conducted to achieve […]

  • Towards Biometric Assessment of Audience Affect


    Abstract: This paper investigates how reliable affective responses can be obtained using objective biometric measures for media audience research. We use Galvanic Skin Response (GSR) to detect sixteen respondents’ arousal levels and as an objective measure to show how self-reporting disrupts the experience of respondents watching video content. The subjective experiences from nine subjects were […]

  • Using Biometric Data to Assess Affective Response to Media Experiences


    Abstract: The purpose of this work is to investigate a method of measuring emotional experience by interrupting video content every three minutes to self-report. We let 16 test participants watch the short-film Helium divided into a control group and an intervention group. The subjective experiences from nine subjects (the intervention group) were captured by self-reporting […]


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