Investigating the impact of sensory effects on the Quality of Experience and emotional response in web videos

Rainer, Benjamin; Waltl, Markus; Cheng, Eva; Shujau, M.; Timmerer, Christian; Davis, Stephen J.; Burnett, Ian; Ritz, Christian; Hellwagner, Hermann

doi:10.1109/qomex.2012.6263842

Cited by 45 publications

(37 citation statements)

References 6 publications

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“…In a study by Wechsung et al [8], it was shown that attitudes and mood are related to quality perceptions, however no link was found between personality traits and perceived quality. Other studies include those looking at the influence of mood and emotions [9][10][11], motivation [12] and expectations [13][14][15] on QoE.…”

Section: Human Influence Factorsmentioning

confidence: 99%

The role of human influence factors on overall listening experience

Walton

Evans²

2018

Qual User Exp

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Overall listening experience (OLE) is an evaluation measure specific to the evaluation of audio, which aims to include all possible factors that may influence listeners' ratings of stimuli. As with quality of experience in general, OLE ratings are user dependent. Previous research has shown that listeners can be categorised by how much their OLE is influenced by content and technical audio quality respectively. In this article, we expand on this knowledge by investigating correlations between a range of human influence factors and the degree to which a listener is influenced by content and technical audio quality. This was done by means of a web-based experiment involving 58 participants from a range of backgrounds. Results show that listener type is significantly correlated with a range of psychographic variables and that the attitudinal measure 'competence' is the most suitable variable to be used as a predictor of listener type. As well as these results having direct applications such as tailoring systems and services to the needs of specific user groups, the results presented add to the understanding of how human factors can influence quality of experience in general.

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Section: Human Influence Factorsmentioning

confidence: 99%

The role of human influence factors on overall listening experience

Walton

Evans²

2018

Qual User Exp

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“…Additionally, sensory effects were found to be more appreciated for documentaries than for action movies, being the difference between the Mean Opinion Score computed for the test sequences with and without sensory effects of 0.6 and 0.4 points respectively. In [59,95], the same authors found a positive impact of these effects on the QoE and on the intensity of emotions like happiness, fun or fear.…”

Section: The Impact Of Multi-sensorial Immersion On the User Experiencementioning

confidence: 99%

On the influence of individual characteristics and personality traits on the user experience with multi-sensorial media: an experimental insight

Galloso

Palacios

Feijóo

et al. 2016

Multimed Tools Appl

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Recent studies encourage the development of sensorially-enriched media to enhance the user experience by stimulating senses other than sight and hearing. Sensory effects as odor, wind, vibration and light effects, as well as an enhanced audio quality, have been found to favour media enjoyment and to have a positive influence on the sense of Presence and on the perceived quality, relevance and reality of a multimedia experience. In particular, sports is among the genres that could benefit the most from these solutions. Several works have demonstrated also the technical feasibility of implementing and deploying end-to-end solutions integrating sensory effects into a legacy system. Thus, multi-sensorial media emerges as a mean to deliver a new form of immersive experiences to the mass market in a non-disruptive manner. However, many questions remain concerning issues as the sensory effects that can better complement a given audiovisual content or the best way in which to integrate and combine them to enhance the user experience of a target audience segment. The work presented in this paper aims to gain insight into the impact of binaural audio and sensory (light and olfactory) effects on the sports media experience, both at the overall level (average effect) and as a function of users' characteristics (heterogeneous effects). To this aim, we conducted an experimental study exploring the influence of these immersive elements on the quality and Presence dimensions of the media experience. Along the quality dimension, we look for possible variations on the quality scores assigned to the overall media experience and to the media components content, image, audio and sensory effects. The potential impact on Presence is analyzed in terms of Spatial Presence and Engagement. The users' characteristics considered encompass specific personal affective, cognitive and behavioral attributes. At the overall level we found that participants preferred binaural audio over standard stereo audio and that the presence of sensory effects increased significantly the level of Spatial Presence. Several heterogeneous effects were also revealed as a result of our experimental manipulations. Whereas binaural audio was found to have a generalized impact on the majority of the quality and Presence measures considered, the effects of sensory effects concentrate mainly on the Presence dimension. Personal characteristics explained most of the variation in the dependent variables, being individuals' preferences in relation to the content, knowledge of involved technologies, tendency to emotional involvement and conscientiousness among the user variables with the most generalized influence. In particular, the former two features seem to present a conflict in the allocation of attentional resources towards the media content versus the technical features of the system, respectively. Additionally, football fans' experience seems to be modulated by emotional processes whereas for not fans cognitive processes -and in particular those related to ...

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“…For example, there has been work which shows that personality influences media content preferences [22]. However, while there is work which explore these influences (e.g., [9], [23], [24], [25], [26]), many studies are based on subjective tests applied to samples drawn from specific populations. Consequently, it is important to determine if there is variation across different populations to permit broader generalizations.…”

Section: Related Workmentioning

confidence: 99%

The CP-QAE-I: A video dataset for exploring the effect of personality and culture on perceived quality and affect in multimedia

Guntuku

Scott

Yang

et al. 2015

2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)

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Abstract-Perception of quality and affect are subjective, driven by a complex interplay between system and human factors. Is it, however, possible to model these factors to predict subjective perception? To pursue this question, broader collaboration is needed to sample all aspects of personality, culture, and other human factors. Thus, an appropriate dataset is needed to integrate such efforts. Here, the CP-QAE-I is proposed. This is a video dataset containing 144 video sequences based on 12 short movie clips. These vary by: frame rate; frame dimension; bit-rate; and affect. An evaluation by 76 participants drawn from the United Kingdom, Singapore, India, and China suggests adequate distinction between the video sequences in terms of perceived quality as well as positive and negative affect. Nationality also emerged as a significant predictor, supporting the rationale for further study. By sharing the dataset, this paper aims to promote work modeling human factors in multimedia perception.

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Investigating the impact of sensory effects on the Quality of Experience and emotional response in web videos

Cited by 45 publications

References 6 publications

The role of human influence factors on overall listening experience

The role of human influence factors on overall listening experience

On the influence of individual characteristics and personality traits on the user experience with multi-sensorial media: an experimental insight

The CP-QAE-I: A video dataset for exploring the effect of personality and culture on perceived quality and affect in multimedia

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