Cognition and Emotion in TV Message Processing: How Valence, Arousing Content, Structural Complexity, and Information Density Affect the Availability of Cognitive Resources

Lang, Annie; Park, Byungho; Sanders‐Jackson, Ashley; Wilson, Brian; Wang, Zhongyan

doi:10.1080/15213260701532880

Cited by 122 publications

(139 citation statements)

References 27 publications

Supporting

Mentioning

132

Contrasting

Order By: Relevance

“…This term is in the subject of our paper and it is important especially in the field of educational videos because if we do not care about Information density of videos, it may cause viewers information overload. Lang's LC4MP theory suggests that the result of information overload is poor encoding of the message so learning will suffer (Lang, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…The process of resource allocation is complex and depends on many factors, and it takes place automatically or is controlled by the recipient. LC4MP model introduced new features like "Complexity of structure" (number of scene changes per second) as a measure of allocated resources and the "Information density" (newly introduced information) as a measure of necessary resources (Lang et al, 2007). To obtain the value of the variable "Complexity of structure" there are a number of automated methods well described in the literature (Hanjalic, 2002) and (Boreczky, 1996).…”

Section: Lc4mpmentioning

confidence: 99%

“…To obtain the value of the variable "Information density" a trained observer has to analyze video content. (Lang et al, 2007). LC4MP and its empirical evidence (data) will be used to analyze one background algorithm in this paper.…”

Section: Lc4mpmentioning

confidence: 99%

“…These algorithms are mostly developed for the industry and for some specific purpose, and therefore they may not be the most suitable for our purpose. The logical way is to compare this model with some empirically proven model in the field of communication science and fortunately there is the theory called 'Limited Capacity Model of Motivated Mediated Message Processing' with well elaborated model (Lang et al, 2007).…”

Section: Computer Visionmentioning

confidence: 99%

See 3 more Smart Citations

Model of information density measuring in e-learning videos

Đokić¹,

Idlbek²,

Mandušić³

2017

PROSOC

View full text Add to dashboard Cite

Educational video content authors must be careful that the content is adequate for the audience and the purpose especially on the term level. On the other hand authors must be careful that the content does not cause information overloading. Viewers can experience it if the videos have too much motions and movements. Information overload has become an increasingly popular area of study and a lot of authors indicated that information density of movies and videos have risen in the last few decades. High information density of videos and movies may cause information overloading and it has been proved by Lang et al in their theoretic model named Limited Capacity Model of Motivated Mediated Message Processing. This theoretic model suggests how to measure information density in videos and movies but this method is slow and just trained observers can do this job well. In this paper the new model for information density measuring in videos and movies is described and tested. This new model is based on special usage of background subtraction algorithms and in this paper multi-layer background subtraction algorithm based on color and texture is used. This algorithm is presented by authors Yao and Odobez on CVPR Visual Surveillance Workshop in 2007. Results of our model are compared with the trained observer's results and the same video clips that have been used by Lang et al are used for testing. It can be seen that there is a significant correlation between information densities measured by trained observers and our model. Our model can be used to determine some forms of information density in videos and movies and it can be used to indicate higher possibility of information overloading.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Lc4mpmentioning

confidence: 99%

Section: Lc4mpmentioning

confidence: 99%

Section: Computer Visionmentioning

confidence: 99%

See 2 more Smart Citations

Model of information density measuring in e-learning videos

Đokić¹,

Idlbek²,

Mandušić³

2017

PROSOC

View full text Add to dashboard Cite

show abstract

“…effects of familiarity on the processing of iTV ads using, for example, heart rate as a measure of orienting response, 56 secondary-task reaction times to measure available resources, 62 and the number and valence of thoughts listed. 39 Nevertheless, our fi ndings suggest that familiarity and wear-out are not a problem for established national advertisers contemplating iTV campaigns.…”

Section: Study Limitations Study Limitationsmentioning

confidence: 99%

Minimum effective frequency for interactive television ads

Bellman

Schweda²,

Varan³

2010

J Direct Data Digit Mark Pract

View full text Add to dashboard Cite

A key task for advertising media planners is setting a frequency goal for a campaign. This study used a controlled experiment to identify the minimum effective frequency (MEF) for TV ads offering interactive response, as opposed to direct response by phone call. Participants ( N = 273) were exposed to ads one, three or fi ve times. A control cell saw normal TV ads, while an interactive TV (iTV) cell saw the same ads with interactive response banners superimposed. We found the usual ' build-up ' effects for repeated exposure on ad memory in the control cell, but there was little added value in repeat exposure for generating interactive response (ie MEF = 1). Interaction rates were higher for familiar brands, but brand familiarity did not alter the effect of repetition. These results suggest that iTV ads should be placed with a reach strategy, rather than a frequency strategy.

show abstract

Limited Capacity Model of Motivated Mediated Message Processing ( LC4MP )

Lang

2017

The International Encyclopedia of Media Effects

144

View full text Add to dashboard Cite

The limited capacity model of motivated mediated message processing (LC4MP) is a data‐driven model of media message processing. The model assumes people are limited capacity processors and that, during media use, cognitive resources are automatically and continuously allocated to the encoding, storing, and retrieval of information. The model includes two automatic resource allocation mechanisms. All major contents in the model have associated measures that have been validated in the media laboratory.

show abstract

Cognition and Emotion in TV Message Processing: How Valence, Arousing Content, Structural Complexity, and Information Density Affect the Availability of Cognitive Resources

Cited by 122 publications

References 27 publications

Model of information density measuring in e-learning videos

Model of information density measuring in e-learning videos

Minimum effective frequency for interactive television ads

Limited Capacity Model of Motivated Mediated Message Processing ( LC4MP )

Contact Info

Product

Resources

About