|
Animation & Priming D Animation and Priming Effects in Online Advertising By S. Shyam Sundar George Otto Lisa Pisciotta Karen Schlag College of Communications Pennsylvania State University 219, Carnegie Building University Park, PA 16802-5101 Voice: (814) 865-2173 Fax: (814) 863-8044 E-Mail: [log in to unmask] y For General Competition y The first author is an assistant professor while the other authors are graduate students at the Penn State College of Communications. All student authors contributed equally to the preparation of this paper. y Running Head: ANIMATION & PRIMING Paper submitted to the Advertising Division to be considered for presentation at the annual conference of the Association for Education in Journalism and Mass Communication Chicago, July 30-August 2, 1997 Animation and Priming Effects in Online Advertising A B S T R A C T This study investigates effects of animated versus still presentation of online advertising in primed versus unprimed conditions within the context of the World Wide Web. All subjects (N = 41) in a factorial between-subjects experiment were asked to view online news and advertising material on a website. They were then tested for their memory of the ad, asked to provide an evaluation of the ad content and report their general level of emotional arousal. Analyses revealed significant relationships between priming and ad memory, animation and subjective evaluations of ad material, and interaction effects between priming and animation on the arousal measure. Animation and Priming Effects in Online Advertising Unlike the audiences for traditional media, online users are not a passive or captive audience. They are proactive and less prone to programming manipulations of the content provider, raising new challenges for the advertising industry. Advertisers have met this challenge by making use of the technological possibilities of the Web and innovating the art of advertising in the process of trying to attract as many online users as they can. Two recent innovations in online ads are animation and priming. Increasingly, still ads are being replaced by animated one on the Web. The general expectation is that animation, with its moving images and dynamic presence on a website, is likely to attract users' attention more efficiently. Another enticement is in the placement of ads in a contextually relevant manner. Online ads are often relevant to the online text that the user has called up on the Web. For example, if a user does an Alta Vista search of the keyword "wines," the search results page is likely to be bordered by an ad for "Virtual Vineyards," a mail-order retailer of wines. The advertiser, in this case, is hoping that users are primed by their own interest as well as the non-ad content of the page in such a way that they will be more receptive to the ad and perhaps click on it to see more campaign and/or sales material. The purpose of this study is to examine the psychosocial effects of both animation and priming in Web advertising. This paper will first introduce online advertising, review the relevant literature on animation and priming, and propose a set of research questions. It will then present the methods and results of an experiment conducted to answer those questions. Finally, it will discuss the findings in their appropriate methodological context. Online Advertising Since the global Internet became available for use by commercial services in the early 1990s, a method of advertising has developed that allows both companies and entrepreneurs to promote their products and services to millions of consumers in a matter of seconds (Levinson & Rubin, 1995). The Internet is a worldwide interconnection between millions of computers and computer networks via phone lines, satellites and other telecommunications systems (Ellsworth & Ellsworth, 1995; Mathiesen, 1995). Thanks to this connection, advertisers can place advertisements in a large variety of computer locations ranging from online services such as Prodigy and CompuServe to the World Wide Web(WWW) and computer bulletin boards. The market size they can reach is overwhelming considering the large number of people connecting to the Internet each day. It is estimated that two new user accounts join onto the Internet every four minutes, and that by now, the number of people connected to the Internet is well over 30 million (Levinson & Rubin, 1995). Online advertisements are typically presented so that consumers first see a small presentation inviting them to use their mouse to click onto a certain location, which advances them to another page that will reveal more information about the product or service. Thus, online advertisers want to create an advertisement that entices consumers to click and seek more information. However, this is not advertisers' only goal. Competitors often share advertising space on a single computer page with numerous other companies and individuals. As a result, an abundance of information is offered to people on most Internet pages, and competition to attract users to one particular spot is tough. A small company with a meager revenue can now compete at an equal level with corporations ten times its size (Levinson & Rubin, 1995). Computer advertisers, consequently, want to grab consumers' attention as well as display a message that is easily remembered and attractive. Animation Embedding pictures and graphics into computer advertisements is one technique used to simplify or enhance online presentations (Ellsworth & Ellsworth, 1995). Yet, with more and more messages including images along with or instead of textual presentations, an even more unique form of advertising may be desired. Several recent developments (i.e. animated GIFs, JAVA, and VRML) in software standards for the WWW have enabled more robust platform-independent web-based multimedia presentations which incorporate moving imagery and/or allow end-user interaction with animated graphical objects. Such enhancements are increasingly employed on commercial web pages in attempts to attract the attention of web-browsing prospects. This experiment considers whether the animated enhancement of online advertisements provides an efficient method for catching people's attention, since the moving image would stand out from a static one. Reeves et al. (1985) took EEG measures of people!s eye movements to study the attention they gave to television commercials. They found a correlation between movement in commercials and higher attention by the people watching them. Their results help substantiate the claim that motion captures attention. Specifically, the present study examines subject's recognition and aided memory recall of animated versus static online advertisements. The experiment also considers whether animated or static advertisements affect memory of other material presented concurrently on the computer page. This experiment then looks at how people judge the advertisements' appearances as well as how they rate their own arousal levels after viewing the advertisements. The study also examines the influence of priming on subject response to online advertisements. Considering the dual-coding theory advanced by Paivio (1979, 1986), it can be speculated that animated images could facilitate memory. The theory suggests that since long-term memory consists of both a verbal and visual coding mechanism, information that is coded by both methods is more likely to be remembered. For example, according to the theory, pictures would have a greater opportunity to be dually coded than words alone because images have both visual and verbal elements. Information stored through dual coding remains with a person longer because if one memory trace is lost (whether visual or verbal,) the other is still available (Rieber, 1990b, 1991). Past research has shown support for the idea that visual aids can facilitate learning in regards to instructional material (Kobayashi, 1986; Levie & Lentz, 1982; Levin & Lesgold). Other studies have extended the dual-coding theory to moving images with a suggestion that animation can facilitate learning via computer-based instruction (Rieber, 1989, 1990a, 1990b, 1991; Rieber & Hannafin, 1988; Rieber, Boyce & Assad, 1990). Rieber (1991) suggests that animation portrays motion and trajectory of an image, and as a result, codes ideas visually by the actual image and verbally by implied relationships, such as a "slow-moving" or "fast-moving" object. In Rieber's experiments mentioned above, children, and occasionally adults, who completed computerized lessons with animated images scored higher than those conducting the same lessons featuring static images. Yet, it should be noted that research has also shown learning through animated visuals is dependent on the task at hand (Rieber, 1990b; Rieber, Boyce & Assad, 1990). The present study seeks to see if the dual-coding theory can be applied to animated images and general memory. In other words, will moving pictures aid memory of material that is not presented as an instructional lesson? There have only been a few published studies looking at this relationship between moving images and memory. Kipper (1986) found in an experiment that people remembered the physical layouts of videotaped scenes more accurately when they were shot with a moving rather than with a fixed camera. Despite this support, it has been suggested that motion effects on memory are dependent on certain types of information and motion (Detenber & Reeves, 1996). The present experiment considers not only people!s memory of an animated online advertisement, but also their memory of other material that the advertisement is embedded within. It is thought that the types of advertisements leading to higher memory of any aspect of the online page could be significant. Considering the relationship between animation and appearance evaluation, little research has been done. The same can be said for animation and people's arousal level. Detenber and Reeves (1996) studied these two concepts by having people examine moving and static pictures and then self-report their emotional responses, two of which were how pleasurable the image appeared and how aroused it made them feel. The study gave support for the bio-informational theory, which suggests that certain attributes such as motion, size, shape and color can produce emotional responses such as fear or happiness (Detenber & Reeves, 1996). The present study examines if the movement in online advertisements can influence people!s emotions. The experiment follows prior studies that have measured emotion (Bradley et al., 1992; Detenber & Reeves, 1996; Lang et al., 1993) in that it records people!s self-reported visual pleasure and arousal levels after viewing certain images. These two measures are considered indicators of people!s emotions. A difference between the study by Detenber and Reeves (1996) and the present experiment should be noted. The prior study showed that people rated the still images more pleasurable to look at and more arousing than those that were moving; however, the subjects were evaluating pictures displayed alone and not images embedded among a large amount of unrelated material. It is speculated that results in the present study may be different because online advertisements are seen with other varying information presentations. Moving images surrounded by in a multitude of still images may be judged more attractive or arousing because they stand out from the other material. Priming Priming effects are also considered in this experiment. According to Berkowitz and Rogers (1986), priming is something that not only fosters certain thoughts in people, but also increases the probability that these ideas and related ones will come to mind again in the near future. Priming can be influential when people are first introduced to something, such as a word or image, and then later use this information or related thoughts when activating memory processes. Schleuder et al. (1993) found that people who watched televised news stories primed by bumpers and teasers scored higher on verbal recognition tests. Emotion has also been related to priming in studies suggesting that emotionally related primes can influence people's feelings and actions (Berkowitz, 1990; Bower, 1981; Lang, 1979; Leventhal, 1984). Thus, an emotionally positive prime could lead to a good evaluation of related concept or a certain type of behavior. Yi (1990) found that people who were primed with positive information regarding computers judged computers more positively than people who were exposed to negative computer attributes. This study examines subject response to animated versus static online advertisements that are either primed or not primed with related verbal and visual content prior to exposure. Researchers want to know which of the advertisements people remember more accurately, and which presentation leads to better memory of material shown along with the advertisement. The experiment also notes which advertisement (primed or not primed) people judge more favorably concerning appearance, and which produces higher arousal levels. Research Questions Based on the review of literature, the following research questions are developed: R1: Will an animated online advertisement aid people's memory of that advertisement more effectively than a static version? R2: Will an animated online advertisement aid people's memory of content surrounding the advertisement more effectively than a static version? R3: Will an animated online advertisement lead to more positive evaluations of its appearance than a static version? R4: Will an animated online advertisement lead to higher arousal levels than a static version? R5: Will priming of an online advertisement aid people!s memory of that advertisement? R6: Will priming of an online advertisement aid people's memory of content surrounding that advertisement? R7: Will priming of an online advertisement lead to more positive evaluations of its appearance? R8: Will priming of an online advertisement lead to higher arousal levels? R9: Does an interaction effect exist between animation and priming effects in regards to online advertisements? Method Subjects Forty-one undergraduate students enrolled in a senior level criminology course at the Pennsylvania State University participated in the study. The students were told that the study concerned on-line presentation of media content and that they would be given extra credit for their participation. Students were asked to select a convenient session from among four sessions offered at one-half hour intervals between 5:30 and 7:00 on a Tuesday evening. All participants had at least some Internet exposure, since each had a computer access account. Thirty-four men and seven women participated in the study. Subjects were distributed among conditions by preference for sign-up times only. No attempt was made to distribute subjects evenly by gender or any other criteria. Independent variables The manipulated variables in this study were 1) animated versus static online presentation of the advertisement and, 2) primed versus non-primed introduction to the online material reviewed by the subjects. Dependent variables Effects were measured via questionnaire for subject!s memory recall of both advertising and news item content; by Likert scale for subjective evaluation of the test material on several dimensions; and by a SAM scale for self-report of general level of emotional arousal at two points during the experiment. Procedure Four experimental sessions were conducted during consecutive half-hour periods on a Tuesday evening during the fall semester. As the students arrived for each session at the study location, they were greeted in the hallway by one of the researchers. An initial orientation of approximately seven minutes duration was conducted for each group in order to explain the study, receive informed consent for subject participation, and to read specific instructions for procedures to follow. For two of the groups, instructions included a verbal prime related to the content of the advertisement used in the study. Instructions to the other two groups omitted the verbal prime. While still in the hallway, all groups were asked to complete a SAM scale to indicate their present general level of emotional arousal, to be used as a baseline for comparison to later measurement. The subjects were not forewarned of the later SAM measurement. The students were then taken into a computer training lab and asked to sit at any available computer and await further instructions. For the two primed groups, a page captured from an online version of Gourmet Magazine was already on the screen as they were seated. The page included a masthead for the magazine, a color photograph of green bell peppers, and a listing of article titles and department headings available on the web site. On screen above the Gourmet page were the printed instructions Please wait until instructed to do so, then click here to start . For the unprimed groups, a blank page containing only the printed instructions was on the screen as they were seated in the computer room. The students were read instructions that said the researchers were interested in online presentation of media content. They were further instructed, that when asked to do so, they should click on the start instructions which would bring the online material for the study. Subjects were asked to try to review the subsequent material as they would any other newspaper or magazine, and to continue reviewing the material for the seven minutes allotted for the task. Subjects were also told that the researchers were only interested in the front page presentation of the material, and that all links embedded in the material had been deactivated, as indeed they had been. Once instructed to begin, the students were presented with a modified front page of news and related items captured from washingtonpost.com the online version of the Washington Post. The page was in the format of a typical online newspaper with an identifying masthead at the top, and text and colored pictures underneath. The text dealt with actual news and feature stories. The page selected for use in the study was chosen because the authors felt that there were very few exceptional or uniquely dated news stories that would have been subject to greater risk of outside contamination for purposes of recall testing (as was much of the election coverage current immediately prior to the study, for example). The resulting page layout extended beyond the depth of the computer screen, requiring students to use the browser to pull down the page to reveal all of the content to be studied. Students were instructed that this would be the case and all subjects were observed scrolling throughout the material as required during the study. Included among the items on the page, adjacent to the masthead, was an advertisement designed for the experiment. The product featured in the color advertisement was Gavalia Kaffe. The ad pictured a steaming coffee cup, and offered a recipe for cappuccino brownies to those who clicked on the ad. As with all other links on the page, the recipe link was deactivated. In the animated condition, the text "Recipe!" repeatedly wrote itself onto the screen, letter by letter. In the still condition, the ad was identical except that the image was static, with the text "Recipe!" fully revealed. Immediately after the seven minutes allotted for review, the students were asked to stop perusing the online material and complete another SAM scale on paper that had been placed face down adjacent to each computer prior to their admission to the room. The students were then taken by another member of the research team to another location, where they were asked to complete a questionnaire to test recall and recognition of both advertisement and news content and appearance. In the recall and recognition questionnaire, subjects were asked six questions (three open-ended and three multiple-choice) concerning the content and appearance of the ad. Six additional items (also three open-ended and three multiple-choice) tested their memory of the news items and feature listings on the page. Additionally, the students completed a ten item Likert evaluation of various perceptions of the appearance and quality of the news items, as well as responses to the advertisement. Measurement Responses for the dependent measures were tabulated as follows: For each item on the recall questionnaire, a value of 1 was assigned to correct responses and a value of 0 was assigned to incorrect responses and to unanswered questions. The six ad-related recall items were scored separately from the six news-related memory items. The Likert items were scored on a scale of 1-5, with the the scale applied to each item so that higher scores reflected more favorable evaluations. The SAM measurement also used a 1-5 scale for self-report of general level of emotional arousal. The lower extreme indicated an unaroused state and higher numbers indicated more highly aroused states. A single SAM differential measurement was derived from the two measurements taken. The SAM differential reflected the net increase or decrease in self-reported arousal from the baseline measure taken during subject orientation to the measure taken immediately after subjects reviewed the online material. Results Data analysis revealed three significant findings relating to questions R3, R5 and R9. No significant results were found for R1, R2, R4, R6, R7 and R8. Priming and ad memory In contradiction to our expectations for R5, primed subjects exhibited poorer ad memory than unprimed subjects when the ad memory scale was reduced to the three items that showed significance among the six total ad memory items on the questionnaire: F(1,40)=5.9362, P<0.05. Animation had no significant influence on this effect. Animation and subjective evaluations of the advertising In partial support of our expectations for R3, subjects from the animated groups rated the ad less of a nuisance and less likely to be confused with news content (these were the only two significant items among the ten Likert items administered) than did subjects from the static condition: F(1,39)=5.6162, P<0.05. Priming had no significant influence on this effect. Priming, animation and arousal In answer to R9, regarding interaction effects, there was a transverse relationship between priming and animation on the SAM differential arousal measure, such that either one of the conditions alone resulted in higher arousal than either the combination of both conditions or the absence of both: F(1,40)=3.9872, P=0.0532. Least squares means for the condition pairs were as follows: unprimed/static = -0.625; unprimed/animated = 0.4; primed/static = 0.0; primed/animated = -0.364. Negative means reflect decreases in reported arousal in the post-exposure measure. The interaction effect might therefore be more correctly stated as the presence of either condition alone results in less of a decrease in reported arousal than either the combination of both or the absence of both. Discussion Of the significant results reported, two directly involve the animated versus static variable, which, for reasons discussed below, must be viewed with suspicion. It is hoped that the methodological flaws of the study outlined below will prove to be educational to other scholars as they attempt effects-type investigations in this new medium. Computer system responsiveness During the animated sessions, the responsiveness of the computers used was significantly slower than that observed in the static ad sessions. Increased network overhead caused by multiple simultaneous attempts to access files comprising the animated advertisement, each of which initiated a higher bandwidth network transaction compared with that of the static version, was the source of the problem. Subjects in the animated condition had to suffer tedious and frustrating delays in system response, while their counterparts in the static trials had minimal, if any, delays from network overhead. These delays were not trivial. While it may be argued that similar delays exist for many real-world users of the WWW, who have relatively low-bandwidth dial-up connections to the net, any comparison in our study between the animated and static conditions nevertheless is confounded with the comparison of relatively responsive systems in the static condition with laboriously unresponsive systems in the animated condition. We need to ask Were the results due to the enhancing presence of animation or the distracting presence of extreme network delays? This question cannot be answered with any confidence. Neither is the influence of these delays straightforward or predictable. It is reasonable to suspect that end-user frustration from delayed system response may adversely influence the subjective evaluations for which the Likert items were devised. But in our study, subjects in the animated condition found the advertisement less distracting than in the static condition. Would not the presence of extreme network delay in the animated condition cause the opposite reaction on distraction measures? Intuitively we could say that it might if the subjects were aware of the animation as the cause of the delay, and if they evaluated the Likert items with that awareness foremost in their minds. However, perhaps it is not too convoluted to hypothesize that given the magnitude of network inconvenience observed in the animated condition, any other distraction or inconvenience pales by comparison, resulting in a decreased likelihood that subjects in the animated condition would attribute significant nuisance factors to any of the content, advertisement included. An analogous situation might be worrying about some lint specs on your blazer when a passing car has just splashed by and covered you with mud. The delays also may have been sufficiently distracting to influence recall measurements for the animated condition, though no significant relationship between animation and ad memory was discerned in our analyses. For instance, subjects who are investing a lot of mental energy in thinking "Why is this screen so pokey?" may not have much attention left for other cognitive tasks. The SAM scale requested self-report of a general level of emotional arousal, which according to subject interpretation could include frustration, anger, or boredom resulting from having given up on trying to access nearly inaccessible information. In short, the observed network problems were of sufficient magnitude and duration, and were unique to the animated condition, so as to call into question any results based on the animation independent variable. Our research questions R1, R2, R3, R4 and R9, all of which explicitly consider animation, remain unresolved. The post-exposure SAM scale Seven minutes were allotted for the the students to review the online material. The Washington Post page used in this study included very brief headlines and lead paragraphs for each story or item displayed. Most of the items included embedded links for allowing readers to pursue further information on the story if desired. In order to limit potential variations in exposure, these links were deactivated for our study. All of the front page material could be read, but perhaps not studied, in a much shorter period of time. The post-exposure SAM scale was administered at the end of the seven minute review . By this time, many subjects may have become bored or frustrated with repeated review of the dead-end lead items included on the page. Accuracy of the recall measures For several of the recall items, subjects were able to supply answers that were neither unambiguously right nor unambiguously wrong. For instance, when asked What did the on-line advertisement offer to those who clicked on it?, at least one subject replied Nothing, the link was deactivated. The answer clearly is a correct response, however, it doesn!t address recall of add content at all. Coding for such ambiguities was handled consistently as each case arose, but more thorough pretesting could have refined our measurements and avoided such problems. Considerations for future research In retrospect, it is worth questioning whether content recall, while perhaps useful for testing theoretical constructs, is a meaningful measure of advertising effectiveness within the context of the WWW. The web equivalent of print space advertising is the initial presentation as would appear in the margins of on-line news services, for example. These initial unrequested ads merely serve as enticements for users to click on the ad, thereby requesting more involvement with the advertiser. Users then are provided with additional information or specific offers, often after progressing through several layers of presentation. When evaluating the effectiveness of initial panels in an ad chain, the response of interest to the advertiser is more likely behavioral (i.e. did the user click on the ad) than cognitive (i.e. did the user remember my offer). Depending on the nature of the product or service advertised, deeper layers (those presented after the initial response by the user) may have different criteria for success (i.e. did the user place an order; was the user favorably impressed with our company!s presence; was the information clear and concise; etc.). As different levels may have different goals, animation or other formal attributes of the presentation may operate differently at different levels in the chain. What serves as an enticement to click on the initial level may turn out to be a detrimental distraction on another level. The effects of the tradeoff between animated presentation and network performance caused by the higher bandwidth demands of enhanced graphical presentations remains a valid area of study with potential for practical application in web site design. In our study, the two inadvertently were co-mingled. The web community in general is aware of the limitations of shared network resources. Nevertheless, trading performance for animated and graphics-intensive presentations occurs with ever-increasing frequency on the WWW, as companies and individuals compete for the attention of apparently jaded web surfers. Future studies that isolate these effects could help determine the nature of the tradeoff, both in terms of end-user perceptions and advertising efficacy. References Berkowitz, L. (1990). On the formation and regulation of anger and aggression: A cognitive-neoassociationistic analysis. American Psychologist, 45, 494-503. Berkowitz, L., & Rogers, K.H. (1986). A priming effect analysis of media influence. In J. Bryant & D. Zillmann (Eds.), Perspectives on media effects (pp. 57-81). Hillsdale, NJ: Lawrence Erlbaum Associates. Bower, G. (1981). Mood and memory. American Psychologist, 36, 129-148. Bradley, M. et al. (1992). Remembering pictures: Pleasure and arousal in memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18(2), 379-390. Detenber, B., & Reeves, B. (1996). A bio-informational theory of emotion: Motion and image size effects on viewers. Journal of Communication, 46(3), 66-84. Ellsworth, J., & Ellsworth, M. (1995). Marketing on the Internet: Multimedia strategies for the World Wide Web. New York: John Wiley & Sons, Inc. Kipper, P. (1986). Television camera movement as a source of perceptual information. Journal of Broadcasting & Electronic Media, 30, 295-307. Kobayashi, S. (1986). Theoretical issues concerning superiority of pictures over words and sentences in memory. Perceptual and Motor Skills , 63, 783-792. Lang, P.J. (1979). A bio-informational theory of emotional imagery. Psychophysiology, 16, 495-512. Lang, P.J. et al. (1993). Looking at pictures: Affective, facial, visceral, and behavioral reactions. Psychophysiology, 30, 261-273. Leventhal, H. (1984). A perceptual-motor theory of emotion. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 17, pp. 117-182). New York: Academic Press. Levie, W., & Lentz, R. (1982). Effects of text illustrations: A Review of Research. Educational Communications and Technology Journal, 30, 195-232. Levin, J., & Lesgold, A. (1978). On pictures in prose. Educational. Communications and Technology Journal, 26, 233-243. Levinson, J., & Rubin, C. (1995). Guerrilla marketing online. Boston: Houghton Mifflin Company. Mathiesen, M. (1995). Marketing on the Internet. Gulf Breeze, FL: Maximum Press. Paivio, A. (1979). Imagery and verbal processes. Hillsdale, NJ: Lawrence Erlbaum Associates. Paivio, A. (1986). Mental representations: A dual coding approach. New York: Oxford University Press. Reeves, B. et al. (1985). Attention to television: Intrastimulus effects of movement and scene changes on alpha variation over time. International Journal of Neuroscience, 25, 241-255. Rieber, L. (1989). The effects of computer animated elaboration strategies and practice on factual and application learning in an elementary science lesson. Journal of Educational Computing Research, 5 , 431-444. Rieber, L. (1990a). Animation in computer-based instruction. Educational Technology Research & Development, 38, 77-86. Rieber, L. (1990b). Using computer animated graphics in science instruction with children. Journal of Educational Psychology, 82, 135-140. Rieber, L. (1991). Animation, incidental learning, and continuing motivation. Journal of Educational Psychology, 83, 318-328. Rieber, L., Boyce, M., & Assad, C. (1990). The effects of computer animation on adult learning and retrieval tasks. Journal of Computer-Based Instruction, 17, 46-52. Rieber, L., & Hannafin, M. (1988). The effects of textual and animated orienting activities and practice on learning from computer-based instruction. Computers in the Schools, 5, 77- 89. Schleuder, J., White, A., & Cameron, G. (1993). Priming effects of television news bumpers and teasers on attention and memory. Journal of Broadcasting and Electronic Media, 37(4), 437-452. Yi, Y. (1993). Contextual priming effects in print advertisements: The moderation role of prior knowledge. Journal of Advertising, 22(1), 1-10., 1996
|