Unacceptability of instantaneous errors in mobile television

Jumisko-Pyykkö, Satu; Kumar, M. S. Mohan; Korhonen, Jari

doi:10.1145/1152215.1152217

Cited by 21 publications

(45 citation statements)

References 15 publications

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“…User-perceived enjoyment of the olfaction-enhanced multimedia An ANOVA showed that there was no significant difference in the level of enjoyment experience between when odour neutralisers where used to augment the video clips and when actual scents were used (F=1.905, p=0.177). Content, defined by the different video categories, however had a significant influence on the perceived level of enjoyment (F=4.000, p=0.002), which is consistent with findings from similar perceptual studies in other types of multimedia applications (Ghinea and Thomas, 1998;Jumisko-Pyykkö, Häkkinen and Nyman, 2007). The combined impact of content and scent on participants' enjoyment was also not statistically significant (F=1.516, p=0.187).…”

Section: User Acceptability Of Olfactory Mediasupporting

confidence: 84%

“…The video category, of which there were 6, is our within-subjects factor that every participant was exposed to, whilst the study group, dividing participants into the control and experimental subgroups, is our between-subjects factor. As previous research studies (Ghinea and Thomas, 1998;Jumisko-Pyykkö, Häkkinen and Nyman, 2007) have shown that content, i.e. subject matter, is an important quality influencing the user-perceived quality, our within-subjects factor will show if the user-perceived experience of olfactionenhanced multimedia differs across different categories of multimedia content.…”

Section: Methodsmentioning

confidence: 88%

“…Although our investigative study involves the use of olfactory media and video media content, the media data content of primary interest to us in this research is the olfactory media. As such, our focus will be concentrated on the users' perception of the olfactory media data and not video media content, which has already been explored in previous research studies (Ghinea and Thomas, 1998;Serif, Gulliver and Ghinea, 2004;JumiskoPyykkö, Kumar and Korhonen, 2006;Jumisko-Pyykkö, Häkkinen and Nyman, 2007;Kato and Hakozaki, 2006). To this end, we measure user feedback of the olfactory media content according to the following subjective measures which we believe extensively capture a user's perception of olfactory data:  Odour Detection: that is, was the emitted scent detected.…”

Section: The Content Levelmentioning

confidence: 99%

“…With respect to content, the clips were chosen so that the action displayed in the videos was relatively the same across the six different videos. This is because previous research studies (Ghinea and Thomas, 1998;Gulliver and Ghinea, 2006;Jumisko-Pyykkö, Häkkinen and Nyman , 2007) have shown that the amount of activity within a multimedia video clip has an impact on the user-perceived experience of the clip, e.g. highly dynamic scenes have a negative impact on user understanding and information assimilation (Ghinea and Thomas, 1998).…”

Section: Experiments Materialsmentioning

confidence: 99%

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The sweet smell of success

Ghinea

Ademoye

2012

ACM Trans. Multimedia Comput. Commun. Appl.

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________________________________________________________________________Olfaction, or smell, is one of the last challenges which multimedia applications have to conquer. As far as computerised smell is concerned, there are several difficulties to overcome, particularly those associated with the ambient nature of smell. In this paper, we present results from an empirical study exploring users' perception of olfaction-enhanced multimedia displays. Findings show that olfaction significantly adds to the user multimedia experience. Moreover, use of olfaction leads to an increased sense of reality and relevance. Our results also show that users are tolerant of the interference and distortion effects caused by olfactory effect in multimedia. Categories and ________________________________________________________________________ INTRODUCTIONOlfactory enhanced multimedia displays concerns themselves with associating computer generated smell with other media in order to enrich the users' experience and perception of a multimedia presentation or application. That olfaction-enhanced multimedia is a challenging research area is reflected by the relative paucity of research works in this area.Current usage of olfaction in multimedia has mostly been limited to the area of multimodal information displays, particularly in the area of presenting system and application output in alternative modes for end users. In such systems, there are different output modes available for presenting information, but only one data medium is used at any time to convey the required information and olfactory data usage in such application systems would often be used in response to, or to signify, the occurrence of some application event. Our interest with olfaction in multimedia displays is however concentrated with its usage when combined with other media. To this end, olfactory data may be used to enhance the meaning and provide clarity of user presented information and increase the sense of reality and enjoyment in multimedia applications. Most of the existing work done using olfactory data integrated with other media objects has mostly been done in the virtual reality field (Boyd et al., 2006;Dinh et al., 1999;Drolet et al., 2009;Jones et al., 2004;Kaye 2001;Nakamoto et al., 2008;Richard et al., 2006;Tijou, Richard and Richard, 2006;Washburn and Jones, 2004;Zybura and Eskeland, 1999), and only one of the reported cases shows any significant results to show that adding olfactory data to such systems impacted on the sense of reality of the application quite considerably.

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Section: User Acceptability Of Olfactory Mediasupporting

confidence: 84%

Section: Methodsmentioning

confidence: 88%

Section: The Content Levelmentioning

confidence: 99%

Section: Experiments Materialsmentioning

confidence: 99%

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The sweet smell of success

Ghinea

Ademoye

2012

ACM Trans. Multimedia Comput. Commun. Appl.

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“…The outputs of all the STFs are synchronized so that the aggregated severity is the maximum of all the severities involved [10]. A pooling window of 6 seconds is proposed, since it allows 10 measures per minute, which is easy to handle and aggregate by statistics processors.…”

Section: System Designmentioning

confidence: 99%

Qualitative Monitoring of Video Quality of Experience

Pérez¹,

Gutiérrez

Ruiz³

et al. 2011

2011 IEEE International Symposium on Multimedia

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Abstract-Real-time monitoring of multimedia Quality of Experience is a critical task for the providers of multimedia delivery services: from television broadcasters to IP content delivery networks or IPTV. For such scenarios, meaningful metrics are required which can generate useful information to the service providers that overcome the limitations of pure Quality of Service monitoring probes. However, most of objective multimedia quality estimators, aimed at modeling the Mean Opinion Score, are difficult to apply to massive quality monitoring. Thus we propose a lightweight and scalable monitoring architecture called Qualitative Experience Monitoring (QuEM), based on detecting identifiable impairment events such as the ones reported by the customers of those services. We also carried out a subjective assessment test to validate the approach and calibrate the metrics. Preliminary results of this test set support our approach.

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