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      Evaluation of the TV Customer Experience Using Eye Tracking Technology

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      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      TV Customer Experience, Eye Tracking Technology, Usability, User Evaluation, HCI

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          Abstract

          As the TV experience evolves to provide customers with a richer, more interactive experience across multiple devices, it is increasingly important to make the best use of subjective and objective techniques to inform the development of TV user interfaces. This paper describes the design of a new experiment to evaluate the TV customer experience using eye tracking technology, focused on the BT Player, a visually-rich Video-on-Demand application. Eye tracking provides an objective assessment which does not interfere with the natural interaction of the user with the system. The evaluation will capture a unique data set through the observation of test subjects exposed to a prioritised set of test conditions presented within a controlled environment. The paper presents the design of the experiments, including requirements capture, hardware and software setup, experimental protocol, data collection and analysis. The paper also outlines the challenges posed by the dynamic nature of the content and user interaction with the TV interface.

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          Most cited references 15

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          Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking

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            A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms

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              Identifying Web Usability Problems from Eye-Tracking Data

              Eye-tracking research is increasingly used to supplement usability tests in both commercial and academic practice. However, while there has been research into links between eyetracking metrics and usability problems, this has so far fallen short of establishing a general correlation scheme between the two. Consequently, practitioners are left to make subjective judgements when interpreting eye-tracking data. We address the lack of general guidance by proposing an initial correlation scheme based on data from an exploratory study which aimed to find a wide range of possible correlations between usability problems and eye-tracking patterns. User testing of two websites was conducted and a set of diverse usability problems was extracted from the data; these were then analysed and some were correlated with users’ eye-tracking patterns. In addition to this initial correlation scheme, a further finding from this study is that usability problems are connected to not just a single eyetracking pattern, but to a specific sequence of patterns. This sequence of patterns seems to arise from different coping strategies that users develop when a problem is experienced.
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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-5
                Affiliations
                Ulster University

                United Kingdom
                BT

                United Kingdom
                Article
                10.14236/ewic/HCI2018.88
                © Zhang et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                HCI
                32
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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