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Title:
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DOES THE USE OF THE SOCIAL SIGNAL OF HESITATION IN THE RECOMMENDER SYSTEM IMPROVES THE QUALITY OF EXPERIENCE WHEN THE USER INTERACTS WITH A VIDEO-ON-DEMAND SYSTEM |
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Author(s):
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Toma Vodlan, Andrej Koir |
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ISBN:
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978-989-8533-22-7 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Human-computer interaction, social signal, hesitation, video-on-demand, conversational recommender system, quality of experience |
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Type:
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Full Paper |
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First Page:
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123 |
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Last Page:
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131 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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We present a methodology for the evaluation of the effect of using the social signal (SS) on the quality of experience (QoE) in human-computer interaction (HCI), taking the example of using the SS of hesitation when a user interacts with a video-on-demand (VoD) system. The evaluation was based on pre- and post-interaction questionnaires. We used a sample of 42 users, equally split into test (SS considered) and control and random (SS not considered) user groups. We detected and eliminated other possible causes of differences in QoE among groups, such as basic demographics, users movie knowledge, and user familiarity with modern technologies. The results showed a significant difference in user satisfaction with the system between the control and test groups and a non-significant difference between the random and test groups. In the latter comparison, the effect size was large and consistent enough to be important, but the statistical power was low and the sample size should therefore be increased to obtain results that are more credible. |
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