Abstract

At the time of this paper, high dynamic range (HDR) visualization has already emerged in both the industry and the commercial sector, with HDR displays already present on the consumer market and the technology marching towards the goal of becoming the de facto format of multimedia. HDR is thus often looked at and praised as the next logical step in the evolution of audiovisual entertainment. However, there is no such thing as a single, universal HDR standard, and the competing market projects a future with even more diversity in format specifications, display capabilities and content characteristics. As the competitors attempt to surpass each other and obtain a bigger share of the global market, they inevitably bombard the potential customers and users with brief but effective labels that reflect excellence and superior quality. In this paper, the cognitive effect of such labels is investigated. As home video entertainment is possibly the most numerous instance of the future usage of this visualization technology, video streaming is particularly addressed. Since real-time video transmission services are bound to suffer playback interruptions upon insufficient data rates and uncompensated drops in the available bandwidth, stalling events experienced in conventional multimedia streaming shall apply to HDR video as well. The paper presents four separate experiments, studying how the cognitive bias caused by the labeling effect influences the perception of HDR quality aspects and stalling events, and how the cognitive load varies for stalling detection thresholds between conventional and HDR visualization.

Highlights

  • In the past couple of decades, screens emerged everywhere in our lives

  • To gain a more detailed insight into the cognitive bias created by the labeling effect, instead of comparing the overall Quality of Experience (QoE), the test participants had to assess four aspects of high dynamic range (HDR) video quality: luminance, frame rate, color, and image quality

  • As this given structure is repeated over the duration of the subjective test, if i is at least 2 but at most 9, VAi occurs directly after the comparison period and the separation screen of the prior content i − 1 (C i−1 and Pi−1, respectively), and Pi is followed by the first instance of the subsequent content i + 1 (V Ai+1)

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Summary

Introduction

In the past couple of decades, screens emerged everywhere in our lives. We watch them, we interact with them and, as time progresses, we spend less and less time without them. It involves everything from a laptop to the touch interface of a modern oven Summa summarum, both professional and personal environments are swiftly accumulating intelligent devices— devices that humans are meant to interact with—and this tendency only seems to accelerate even more every time a novel technology emerges. One of the most influential cognition aspects—in the sense of perception-biasing cognition—in this context is expectation, which creates preconceptions regarding the visual experience. In the research area of Quality of Experience (QoE), this type of cognitive bias is commonly known as the labeling effect. In this interdisciplinary paper, we investigate the effect of labeling on the perceived quality of HDR visualization.

Related work
HDR research
LDR research
Research question
Results
Test conditions
Comparison of HDR and LDR stalling detection
Conclusion

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