Emotions have become an important research topic in both the behavioural sciences and advertising. Nowadays, emotions are acknowledged as an important mediator of cognitive and behavioural consumer responses to advertising. Consequently, researchers in marketing and advertising have emphasised the need to consider emotions as a crucial factor in the advertising process. To test the viability of this assumption, an empirical research study was conducted at the Behavioural and Communication Research Division of the Bureau of Market Research (BMR). More specifically, the research study used a three–dimensional approach to measure generational differences in consumers’ emotional response to television advertisements. To capture immediate, positive and negative emotive responses towards a pre–selected test advertisement, the study used three research instruments, namely AdSAM, PrEmo (both non–verbal measurement instruments) and the List of Emotions (LoE) (verbal measurement instrument). Gauteng consumers (n = 102) who view television participated in the study, which revealed that ageing appears to be a significant antecedent in measuring emotive response to advertisements. In this regard, the study showed, among others, that Baby Boomers (older generation) were inclined to react to the advertisement in a different manner than younger generations (Millennials and Xers). For example, Baby Boomers found it easier to acknowledge higher levels of engagement with the test advertisement, as was noted in the high Arousal ratings. No significant differences were, however, evident between generations on the Pleasure dimension as all generations seem to have felt positively towards the test advertisement. Furthermore, although all generations felt positive emotive reactions when viewing the test advertisement, Millennials feel more Comfortable, whereas the Xers and Baby Boomers feel stronger Warmed emotions. Overall, older people tend to purposefully seek to experience positive emotions and avoid or limit negative emotions. In summary, both non–verbal and verbal measures reflected generational differences that seem to be more apparent when analysing negative emotions. The study also revealed that the AdSAM instrument appears to be advantageous when measuring emotions in television advertising due to its non–verbal properties. However, greater generational differences seem to be evident when emotions are measured with a verbal rather than non–verbal instrument. Against this background, certain recommendations for future research were made, amongst others, the need for further research on emotive reaction to television advertisements and the need for innovative research models that are customised for the diverse South African consumer market. / Thesis (M.A. (Research Psychology))--North-West University, Potchefstroom Campus, 2012.

Emotions have become an important research topic in both the behavioural sciences and advertising. Nowadays, emotions are acknowledged as an important mediator of cognitive and behavioural consumer responses to advertising. Consequently, researchers in marketing and advertising have emphasised the need to consider emotions as a crucial factor in the advertising process. To test the viability of this assumption, an empirical research study was conducted at the Behavioural and Communication Research Division of the Bureau of Market Research (BMR). More specifically, the research study used a three–dimensional approach to measure generational differences in consumers’ emotional response to television advertisements. To capture immediate, positive and negative emotive responses towards a pre–selected test advertisement, the study used three research instruments, namely AdSAM, PrEmo (both non–verbal measurement instruments) and the List of Emotions (LoE) (verbal measurement instrument). Gauteng consumers (n = 102) who view television participated in the study, which revealed that ageing appears to be a significant antecedent in measuring emotive response to advertisements. In this regard, the study showed, among others, that Baby Boomers (older generation) were inclined to react to the advertisement in a different manner than younger generations (Millennials and Xers). For example, Baby Boomers found it easier to acknowledge higher levels of engagement with the test advertisement, as was noted in the high Arousal ratings. No significant differences were, however, evident between generations on the Pleasure dimension as all generations seem to have felt positively towards the test advertisement. Furthermore, although all generations felt positive emotive reactions when viewing the test advertisement, Millennials feel more Comfortable, whereas the Xers and Baby Boomers feel stronger Warmed emotions. Overall, older people tend to purposefully seek to experience positive emotions and avoid or limit negative emotions. In summary, both non–verbal and verbal measures reflected generational differences that seem to be more apparent when analysing negative emotions. The study also revealed that the AdSAM instrument appears to be advantageous when measuring emotions in television advertising due to its non–verbal properties. However, greater generational differences seem to be evident when emotions are measured with a verbal rather than non–verbal instrument. Against this background, certain recommendations for future research were made, amongst others, the need for further research on emotive reaction to television advertisements and the need for innovative research models that are customised for the diverse South African consumer market. / Thesis (M.A. (Research Psychology))--North-West University, Potchefstroom Campus, 2012.

The theoretical part of this thesis is focused on the explanation of the Smart concept within the cities and tourist destinations, how the destination of Písek uses marketing communication to attract new visitors and to keep the existing ones. In this part, the reader will also be informed about the topic of measuring emotions, what the methods are, their strengths and weaknesses, and specifically how the EDA method (measurement of electrodermal activity, or skin conductivity) works, which was used in the practical part. The aim of thesis is to use new technologies in effective marketing of tourism destinations - based on measurement of emotional reactions using the EDA method, optimalization of visual communication for destination Písek and its surroundings as a city with a Smart city concept. The practical part describes how the questionnaire and measurement by the EDA method took place. During the research the respondents were shown pictures that were taken of Písek and its surroundings. Data processing was done by evaluating the questionnaire and EDA measurements. The results of both research methods were ranked in the Top Ten Positively/Negatively Ranked Images with Higher Emotional Response. Ten positively and ten negatively evaluated questionnaire and EDA measurements are also visualized in this thesis. It can be concluded from the research that the EDA method is suitable for the measurement of emotions and, together with the questionnaire, it provided interesting information on what type of images is suitable to use in the marketing communication of Píseckem, s. r. o.

Der Einsatz von Bildern in den unterschiedlichsten Bereichen ist enorm gestiegen, da Bilder die Fähigkeit haben Erlebnisse, sowie Emotionen zu erzeugen und die Phantasie anzuregen. Zudem lässt die rasante Entwicklung im Multimediabereich die Anzahl der fotografierten und gespeicherten Bilder steigen. Die Suche nach dem „besten Bild“ für z.B. eine Kampagne gestaltet sich schwierig, da die Inhalte mehrerer Bilder zu einem Thema nicht selten eine hohe Ähnlichkeit aufweisen. Die Bilder können sich allerdings sehr deutlich in ihren Low-Level Features, wie Farbton, Sättigung und Helligkeit, unterscheiden. Jedoch ist der Emotional Gap zwischen diesen Low-Level Features und der dahinter steckenden High-Level-Semantik im inhaltsbasierten Image Retrieval nur marginal untersucht. Im Fokus dieser Arbeit steht die Analyse des Einflusses der emotionalen Wirkung eines Bildes auf die Qualität der Image Retrieval Ergebnisse. Dies umfasst zum einen die Untersuchung der von Farbeigenschaften eines Bildes ausgelösten Emotionen, sowie die Evaluation der Ergebnisse einer emotionalen Bildsuche. Durch verschiedene Experimente kann gezeigt werden, dass die Helligkeit und der Farbton die emotionale Wahrnehmung eines Bildes maßgeblich beeinflussen. Anhand der Ergebnisse konnte eine emotionale Annotation von Bildern und somit die Einbindung von Emotionen in den Suchprozess ermöglicht werden. Die anschließende Evaluierung der Suchergebnisse zeigt, dass die Qualität der Ergebnisse des Image Retrievals verbessert werden konnte. / The use of pictures in a variety of areas has increased tremendously in recent years, as they stimulate a person’s imagination and help to create first experiences and emotions. Furthermore, the rapid developments in multimedia have led to an escalation of the number of digitally stored pictures and photographs. Consequently, finding the ‘best picture’ for a convincing advertising campaign has been becoming increasingly difficult due to the abundance of available pictures. To further complicate this search process, a lot of pictures related to a specific topic are very similar with regard to their content. However, their low-level features, such as hue, saturation, and luminance, might differ considerably. Therefore, this work focusses on the influence of emotional characteristics on the image retrieval process. This includes the study of emotions caused by the color properties of a picture, as well as the evaluation of the results of an emotional image retrieval processes. Results of different experiments show that a picture’s luminance and color have the power to influence emotion. The subsequent evaluation of the results shows an improvement of emotional image retrieval processes. Consequently, one can conclude that the consideration of emotions for ranking affects the quality of the results of the Image Retrieval positively.

Der Einsatz von Bildern in den unterschiedlichsten Bereichen ist enorm gestiegen, da Bilder die Fähigkeit haben Erlebnisse, sowie Emotionen zu erzeugen und die Phantasie anzuregen. Zudem lässt die rasante Entwicklung im Multimediabereich die Anzahl der fotografierten und gespeicherten Bilder steigen. Die Suche nach dem „besten Bild“ für z.B. eine Kampagne gestaltet sich schwierig, da die Inhalte mehrerer Bilder zu einem Thema nicht selten eine hohe Ähnlichkeit aufweisen. Die Bilder können sich allerdings sehr deutlich in ihren Low-Level Features, wie Farbton, Sättigung und Helligkeit, unterscheiden. Jedoch ist der Emotional Gap zwischen diesen Low-Level Features und der dahinter steckenden High-Level-Semantik im inhaltsbasierten Image Retrieval nur marginal untersucht. Im Fokus dieser Arbeit steht die Analyse des Einflusses der emotionalen Wirkung eines Bildes auf die Qualität der Image Retrieval Ergebnisse. Dies umfasst zum einen die Untersuchung der von Farbeigenschaften eines Bildes ausgelösten Emotionen, sowie die Evaluation der Ergebnisse einer emotionalen Bildsuche. Durch verschiedene Experimente kann gezeigt werden, dass die Helligkeit und der Farbton die emotionale Wahrnehmung eines Bildes maßgeblich beeinflussen. Anhand der Ergebnisse konnte eine emotionale Annotation von Bildern und somit die Einbindung von Emotionen in den Suchprozess ermöglicht werden. Die anschließende Evaluierung der Suchergebnisse zeigt, dass die Qualität der Ergebnisse des Image Retrievals verbessert werden konnte. / The use of pictures in a variety of areas has increased tremendously in recent years, as they stimulate a person’s imagination and help to create first experiences and emotions. Furthermore, the rapid developments in multimedia have led to an escalation of the number of digitally stored pictures and photographs. Consequently, finding the ‘best picture’ for a convincing advertising campaign has been becoming increasingly difficult due to the abundance of available pictures. To further complicate this search process, a lot of pictures related to a specific topic are very similar with regard to their content. However, their low-level features, such as hue, saturation, and luminance, might differ considerably. Therefore, this work focusses on the influence of emotional characteristics on the image retrieval process. This includes the study of emotions caused by the color properties of a picture, as well as the evaluation of the results of an emotional image retrieval processes. Results of different experiments show that a picture’s luminance and color have the power to influence emotion. The subsequent evaluation of the results shows an improvement of emotional image retrieval processes. Consequently, one can conclude that the consideration of emotions for ranking affects the quality of the results of the Image Retrieval positively.