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_ Source Perception Source Perception and Electrodermal Activity By No-Kon Heo & S. Shyam Sundar College of Communications Penn State University 425, Waupelani Drive, Apt. # 309 State College, PA 16801 Voice: (814) 231-0918 Fax: (814) 863-8044 E-Mail: [log in to unmask] y For General Competition. Paper submitted to the Communication Theory & Methodology Division to be considered for presentation at the annual conference of the Association for Education in Journalism and Mass Communication, Baltimore, August 5-8, 1998. y The first author is a doctoral student and the second author is an assistant professor at the Penn State College of Communications. y RUNNING HEAD: Source Perception Source Perception and Electrodermal Activity A B S T R A C T The Multistage Sequential Model of Face Recognition was used to hypothesize a relationship between electrodermal activity evoked by various communication sources and audience perception of those sources. Skin conductance responses (SCRs) were recorded while subjects (N = 28) watched images of 22 communication sources. Perceptions of sources were recorded via a questionnaire. Results showed that sources associated with different program genres evoked different levels of SCRs, and familiarity of sources was positively associated with the level of electrodermal activity. RUNNING HEAD: Source Perception Source Perception and Electrodermal Activity The psychological effects of communication sources have been extensively studied by scholars in communications, advertising, political communications, and psychology (for a review, see Wilson & Sherell, 1993). Much of the work on source effects has manipulated communicator characteristics to assess audience's attentional biases to communicators and their acceptance of the messages they deliver. For instance, in previous source-effects studies, message sources have typically been presented as communicators who are credible versus not-credible; physically attractive versus unattractive; or ideologically similar versus dissimilar (Wilson & Sherell, 1993). These source characteristics have been found to enhance or diminish the message potential to achieve attitude or belief changes (Chaiken, 1979; Sternthal, Phillips, & Dholakia, 1978). However, little is known about perception of sources as a function of emotional states of receivers. It is difficult to examine source effects without considering the emotional impact of various sources on receivers, since it is well documented that audience's emotional state can influence message processing (Lang, Dhillon, & Dong, 1995; Lang, Newhagen, & Reeves, 1996) as well as person perception and other social judgments (Clark, Milberg, & Erber, 1984; Kernrick & Cialdini, 1977; Stangor, 1990). The study reported here explicitly measures the emotional impact of communication sources on receivers, and examines whether there is a systematic association between receivers' emotional state and their perception of communication sources. The emotional state examined in this study is autonomic arousal, which is one of the two most commonly derived dimensions of emotions along with the valence dimension (Greenwald, Cook, & Lang, 1989; Lang, Bradley, & Cuthbert, 1992). Specifically, this study asks the following research question: For media receivers, controlling for age, sex, majors, and physiological differences, what is the relationship between communication source perceptions and electrodermal skin conductance responses (SCRs)? Communication Sources and Electrodermal Activity Viewed from a cognitive perspective, the source of communication is one of the most significant and important stimuli, because human face is such an important object in the visual world. "Not only does it establish a person's identity, but also, through its paramount role in communication, it commands our almost continuous attention" (Ellis, 1981, p. 1). As we all know, most of the information in the mass media, be it informational or entertaining, is delivered by one or more communication sources. Prior research has shown that receivers experience changes in emotional or affective states when they encounter various communicators. For example, we feel changes in arousal level at the time of viewing the sources, which in turn may affect such important cognitive processes as attention and memory (Shepherd & Ellis, 1973). Whether we have an innate attraction for a certain type of source or we have prior association of certain sources with important emotional events, communication sources are arousing stimuli (Shearer & Mikulka, 1996). Electrodermal activity is a commonly used index of attention, effort, and arousal (Bernstein, 1973; Maltzman, 1979). It is also a component of the orienting response (OR) to surprising and significant stimuli (O'Gorman, 1979). With regard to OR, there is substantial evidence that the SCR component of OR is reliably elicited by stimuli which have "signal value," or significance, for the organism (Maltzman, 1979; Tranel, Fowles, & Damasio, 1985). Communication researchers have used several different physiological measures, including SCRs, to explore viewer's orienting responses to such structural features of television as subjective camera movement (Lombard, Reich, Campanella, & Ditton, 1995), cuts, movements, and onset of commercial messages (Reeves et al., 1985; Lang, 1990). Viewed from a psychological point of view, all these structural features of television are significant stimuli, which tend to draw immediate attention and evoke arousal from the television audience. By the same token, we might expect that communication sources would be significant enough stimuli to elicit different levels of arousal in receivers. The purpose of the current investigation is to explore the relationship between source perceptions and receiver's autonomic electrodermal responses to sources from the perspective of the facial recognition model in cognitive psychology. Considerable evidence in facial recognition studies indicates that different communication sources may elicit different levels of physiological responses. Toward this end, this paper will first introduce the facial recognition theory, review the relevant literature on this topic, and propose a set of hypotheses. It will then present the methods and results of an experiment conducted to test those hypotheses. Finally, it will discuss the findings in their appropriate theoretical and methodological context. A Multistage Sequential Model of Face Recognition Several models of face processing have been developed in information-processing terms (e.g., Bauer, 1986; Bauer & Verfaellie, 1998; Bruce, 1991; Ellis, 1986). In general, these cognitive models posit that human face recognition is a function of a series of cognitive processes. In this multistage, sequential processing model, the initial stage is the perceptual analysis of the faces, which involves the parallel extraction of featural and configural information (Bauer & Verfaellie, 1988). It is then followed by a judgment of whether the face is familiar, and if the face is familiar, a subsequent search for "identity-specific information." This identification of a previously familiar face requires additional post-perceptual steps in which a memory representation of the face is activated because it matches the incoming perceptual information in some significant way. For example, Bruce and Young (1986) suggest that we develop an "identity-specific semantic code" from our previous experience with a person. Included in this code is information about the person's appearance, demeanor, occupation, family background, hobbies, personality, etc. The schematic information contained in this code can be activated when we recognize the person's face or hear the person's voice and information concerning the person. From a cognitive perspective, according to Bauer & Verfaellie (1988), "the familiar-unfamiliar face distinction" reflects "presence or absence of stored identity-specific information about viewed faces." (p. 241) Past research has shown support for the idea behind the sequential model of facial recognition. For instance, Tranel, Fowles, and Damasio (1985) found that when presented with a series of faces of celebrities, politicians, and newsmakers drawn from current magazines, college students showed greater SCRs to familiar faces than unfamiliar faces. They also found that familiar faces were rated by subjects as more "significant" than unfamiliar faces, suggesting that highly familiar faces are potentially arousing stimuli (Tranel et al., 1985, p. 403). Bauer and Verfaellie (1988) also found in an experiment of psychophysiological responses of prosopagnosics[1]1 during facial identification tasks that a patient with this disease showed relatively larger electrodermal responses to the names of familiar faces compared to unfamiliar faces. More recently, Shearer and Mikulka (1996) reported an increase in SCRs as a function of familiar faces. However, the SCR occurred only when coupled with the identification task, indicating that the retrieval of the identity-specific information about faces is an important determinant of face recognition. The result was interpreted by the authors to suggest that such names activate stored identity-specific information in memory. If the face conveys any associated contextual information from past experience, it will carry greater attentional potentials, which subsequently will result in emotional experiences as manifested in greater arousal, greater SCRs in particular. Conversely, if the face is not familiar and does not carry any contextual information for the viewer, then the sequential process will stop right after the initial stage, since there is no need or utility for any further searches. This tendency will be manifested in lesser arousal or lesser SCRs. The same reasoning can be applied to the recognition of communication sources. If a source is perceived by the viewer to be significant, there will be a subsequent search for identity-specific information, which includes associated contextual information from past experiences. This sequential process will be displayed by greater SCRs for the viewer. It is also documented that people tend to display significantly greater SCRs to cognitively consistent visual stimuli D scenes related to their preferred interests or recreation (Matzman & Boyd, 1984). Although not discussed in a greater detail in this paper, cognitive theories also suggest that people are attracted to others who share similar attitudes, values, and beliefs in order to maintain balance or consistency in their cognitive states (Festinger, 1957; Newcomb, 1961). In sum, prior theory and research suggest an electrodermal discrimination of significant versus non significant communication sources. In fact, not all media sources have the same "signal value" or "stimulus significance" to viewers. Some media sources may be more significant partly because they are perceived by viewers to be more familiar or relevant than others. Likewise, media sources from different program genres are also likely to display different levels of "stimulus significance" to viewers, because the genres provide additional contextual information beyond mere facial recognition. Hypotheses Based on the previous discussion of research and theory concerning facial recognition, two general hypotheses concerning the effects of communication sources on the SCR were proposed. H1a: Different communication sources will elicit different levels of skin conductance responses (SCRs). H1b: Communication sources identified with different genres of TV programs will elicit different levels of skin conductance responses (SCRs). While the first hypothesis examines electrodermal correlates of particular sources, the second hypothesis is related to those of particular classes of media sources. The reasoning behind it is that people experience different emotions toward particular classes of media sources. Intuitively, we might guess that entertainment sources will provide viewers with more emotionally associated contextual information than other classes of sources such as newsmakers or politicians, or vice versa depending on individuals' past experiences with them. One of the consistent findings in facial recognition research is that familiar faces elicit greater SCRs than unfamiliar faces. Familiar faces such as well-known public figures elicit much larger SCRs and are rated as more significant than the unfamiliar faces among college students (Tranel, et al., 1985). This is also true for individuals with an inability to recognize faces who are still able to show the orienting response to familiar faces (Bauer & Verfaellie (1988). Thus: H2: Familiar sources as compared to less familiar sources will elicit greater arousal (SCRs). We are attracted to communication sources we like; the more we like a source, the more we will be persuaded by him or her (McGuire, 1969). We are also attracted to sources who are rewarding than those who are not rewarding (Birnbaum & Stegner, 1979). In this sense, those likable sources, per se, are significant stimuli from which we all experience various emotions when we encounter them. Bio-informational theory of emotion posits that the action dispositions and their physiological manifestations are linked to nodes in the brain that represent attributes of the emotion-eliciting stimuli (Lang, 1995). The key to this approach is to investigate the specific attributes of stimuli; that is, those characteristics that become nodes in the emotion network (Detenber & Reeves, 1996). Clearly, communication sources who are likable and physically attractive are primitive heuristics that, in many instances, influence our judgments and emotional responses by virtue of their associations with specific information and emotions in the brain. For instance, we feel happy when we encounter media sources we like, because it is automatically activated by a simple linkage between those images and feelings. Likewise, we feel the same happiness when we encounter a media source who is physically attractive. This coactivation is the reason why we feel rewarded whenever we see physically attractive models in commercials, even though they have nothing to do with the message provided. Evidence showing the physiological effects of communicator attractiveness and likability is scarce. However, recent research findings indicate that likable and attractive sources may elicit greater arousal. For instance, Cuthbert et al. (1996) found that when presented with pictures depicting a variety of events, subjects displayed greater arousal to positively-valenced pictures than neutral pictures. By the same token, we can expect that both attractive and likable sources would elicit pleasant feelings in subjects. These happy or positive feelings would be manifested in greater SCRs. Accordingly, it was expected: H3: The more likable a source, the greater the arousal (SCRs). H4: The more attractive a source, the greater the arousal (SCRs). Method A within-subjects experiment was conducted to test these hypotheses. The independent variable was manipulated by showing pictures of 22 different communication sources to subjects. The primary dependent variable was electrodermal activity, as measured by the skin conductance responses (SCRs). In addition to SCR measures, subjects were instructed to evaluate their perceptions of each communication source on a paper-and-pencil questionnaire. Subjects Twenty-eight undergraduate and graduate students (12 men, 16 women) enrolled in communication classes participated in the study in exchange for course credits. The experiment was administered to subjects one at a time. All subjects signed an informed consent form before commencing the experiment. Stimuli The stimuli were a total of 22 facial images of newsmakers (e.g., Dan Rather, Tom Brokaw, Joie Chen, Peter Jennings), game show hosts (e.g., Alex Trebek), entertainment hosts (e.g., David Letterman, Jay Leno), and celebrities (e.g., first lady). Two additional slides were shown to serve as practice sources. All stimulus materials were drawn from actual television broadcasts. For newsmakers, both local and national newscasters were randomly selected. To minimize order effects, four orders of picture presentation were constructed so that, across subjects, the same picture was seen in different positions in each presentation. Apparatus All the images were presented on a screen placed approximately 3 m in front of the subjects. A pair of Silver-Silver Chloride AgAgCl electrodes with Velcro straps was used to measure SCRs. All electrodermal activities were digitally recorded in units of electrical conductance using a Biopac MP30 hardware unit and associated psychophysiology software. General Procedure Upon arriving at the laboratory, subjects were instructed to wash their hands using Ivory hand soap. All subjects were asked to sign the informed consent form before commencing the experiment. Electrodes were attached to the palmar surfaces of the distal phalanges of the middle and index fingers of the subject's non-dominant hand using Velcro straps. Electrodes were filled with a saline electrode paste recommended by Fowles et al. (1981). Each subject was seated in a comfortable chair and instructed to relax. After a first 15-min. baseline period during which the instructions were read, each subject was shown two practice sources to allow for adjustment to the experimental procedure and to minimize electrodermal reactivity (Shearer & Mikulka, 1996). After the practice sources, the 22 source images were presented in one of four different orders. The subject was instructed that a series of pictures would be presented and that each slide would be presented for approximately 6 s, followed by nothing but the blank screen.[2]2 After watching the sources for 6 s, the subject was instructed to fill out a questionnaire regarding their impressions of the source they had just seen. The subject was presented the next source with randomly determined intersource interval that varied from 5 to 10 s. The subject repeated this procedure for all twenty two sources, and was thanked after the last source. Measures of Source Perceptions The subject rated each source for familiarity, believability, likability, intelligence, and attractiveness on a scale ranging from 1 (not at all) to 9 (very much). These are the characteristics commonly used in previous source effects studies. To measure impressions of the source, the subject was asked, "How does this person seem?" The nine semantic differential items, used in prior research on personality research ( e.g., Burgoon & Walter, 1990) and television screen size effects (Lombard, 1995), were good/bad, warm/cold, confidence/insecure, sensitive/insensitive, not intimidating/intimidating, friendly/unfriendly, strong/weak, attractive/unattractive, and similar to me/different from me. Also measured was subject's emotional responses to sources by asking, "How does this person make you feel?" Six bipolar semantic differential items with a 9-point scale were calm/anxious, good/bad, confidence/insecure, safe/threatened, comfortable/uncomfortable, and sociable/unsociable. These items again were derived from previous research on interpersonal distance, personal space, and screen size effects studies (e.g., Burgoon, 1978; Lombard, 1995). Skin Conductance Responses (SCRs) Based on the different measurement techniques suggested by researchers (e.g., Lang, 1995), audience's state of arousal was assessed via electrodermal skin conductance responses (SCRs). SCRs, the primary dependent variable in this study, was quantified in such a way that for each source presentation, a latency window of from 1-5s from stimulus onset was used, and the amplitude of the largest SCR with onset falling within this window was recorded (Cuthbert, et al, 1996; Tranel, et al, 1985). A log transformation (log(SCR+1)) was performed to normalize the distribution (Cuthbert et al., 1996). Data Analysis The primary statistical procedure used to test the hypotheses was a one-way repeated-measures analysis of variance (ANOVA) for H1a and H1b. To examine H2, H3, and H4, regression analyses were used. In addition to the main hypothesis tests, some exploratory results are also reported. Results Hypothesis 1a predicted that different communication sources will elicit different levels of skin conductance responses (SCRs). Analysis of the primary dependent variable of subjects' SCRs to the different sources yielded a statistically significant effect, F(21, 567) = 2.56, p < .01, which indicated that some communication sources elicited greater electrodermal response amplitudes than other sources. Hence, H1a was supported. Hypothesis 1b predicted that different types of communication sources will elicit different levels of skin conductance responses (SCRs). To test this hypothesis, twenty one sources were categorized into four different types: entertainment, local news, national news, tabloid. One source (first lady) was excluded from the analysis because she was the only source in the category. Results from the one-way analysis of variance (ANOVA) on the primary dependent variable showed a significant mean differentiation as a function of the types of source, F(3, 557 ) = 3.44, p < .01, indicating that hypothesis 1b is supported (see Figure 1). Figure 1 shows that entertainment sources (M = .235) elicited the greatest SCRs, while tabloid sources (M = .14) elicited the least SCRs. Hypothesis 2 predicted that source familiarity is positively correlated with level of arousal (SCRs). The results of the regression analyses between source familiarity and the SCRs showed a significant relationship, F(1, 614) = 29.69, p < .001. The fit model showed source familiarity was a significant predictor of SCRs (Beta = .016, p < .001). The results indicate that as the source familiarity increases, the SCRs also increase. Therefore, Hypothesis 2 was also supported. Hypothesis 3 predicted that source likability will elicit greater arousal (SCRs). The results of the regression analyses supported the hypothesis, F(1, 614) = 5.78, p < .01. Likability, too was a significant predictor of SCR (Beta =.011, p < .01). ___________________ Insert Figure 1 About Here ___________________ Hypothesis 4 predicted that more attractive sources will elicit greater arousal (SCRs) than less attractive sources. Results from the regression analyses showed that this is not the case, F(1, 614) = .30, n.s.). Therefore, H4 was not supported. Exploratory Data Analysis To further examine the relationship between communication source characteristics and viewer responses, data from several additional questionnaire items were analyzed. An one-way analysis of variance demonstrated significant gender differences in the SCRs. For example, across the entire set of sources, male subjects (M = .21), compared to female subjects (M = .15), displayed significantly greater average SCRs, F(1, 614) = 8.511, p < .003. Gender of sources also made a difference. Male sources (M = .19), compared to female sources (M = .14), elicited greater arousal from the subjects, F(1, 614) = 5.22, p < .02. The fourteen items related to source perception were subjected to factor analyses. A principal-components analysis with varimax rotation generated three factors of source characteristics : "warmth," "credibility," and "attractiveness." Together, they accounted for 67.5 percent of the variance. Items loading on each factor were summed to create indices. To examine whether different types of media sources impact these composite factors, source types were subject to analyses of variance with the three indices as dependent variables. ___________________ Insert Figure 2 About Here ___________________ Only one factor, "credibility," showed a significant difference as a function of source type, F(3, 587) = 24.37, p < .01 (see Figure 2). Tabloid news sources suffered most on credibility, while other types of communication sources were about equal credibility. Interestingly, entertainment sources were perceived by subjects to be more credible communication sources than newsmakers, although post-hoc analyses showed the difference to be statistically insignificant. Discussion This study attempts to explain how different characteristics of communication sources affect television viewers' physiological responses. Toward this end, a sequential model of source perception was introduced from the facial recognition theories in cognitive social psychology. According to this model, viewers first judge whether a particular source they encounter is a significant or familiar face, and if the source is judged to be significant, a more thorough search is conducted, which includes naming of the source or associated contextual information. Although the data presented in this paper were not intended to articulate the nature of the processes underlying the source perception, the empirical evidence of increased skin conductance responses (SCRs) after the onset of stimuli indicates the presence of these cognitive efforts amongst receivers. The results of this study provided additional evidence for the multistage model of face recognition. It was found that different communication sources elicited different levels of emotional responses from subjects. Some media sources were able to elicit greater emotional responses than other sources as manifested by the increased SCRs. Further analyses of the data demonstrated that familiar sources were more likely than less familiar sources to elicit greater responses for the subjects. A reasonable conclusion is that familiar communication sources, like other structural features of television stimuli, bear "signal value," or significance for the organism (Bernstein & Taylor, 1979; Tranel et al., 1985). Another important finding in this study is that source type also made differences in eliciting physiological responses. This supports the notion of "identity-specific semantic code" (Bruce & Young, 1986) whereby we factor in our prior experiences as well as related contextual information in our responses to communication sources. It was found that subjects displayed the greatest SCR response to entertainment sources (M = .235) and the least response to tabloid sources (M = .14). One possible explanation for this difference might be that entertainment sources are more familiar than tabloid sources. An exploratory analysis showed a huge difference in the familiarity measure between these two types of sources. The average score for entertainment sources on a 9-point scale was 8.35, while that for tabloid sources was 4.08. Although they were different in other dimensions, it was a single familiarity measure which discriminated the two most successfully. This implies that the two sources possess different "signal values" or significance for the viewers. Another result that deserves further discussion is that source attractiveness did not have significant effects on physiological responses. Given the empirical evidence that physical attractiveness of the model or spokesperson is an important variable which interacts with the product advertised to affect the viewers and readers' response to the advertisement (Baker & Churchill, 1977), it was hypothesized that more attractive sources must elicit greater viewer attention and emotional responses. But this was not the case in this study. One possible explanation is that the attractiveness item used in this study might have been overly broad. It might have meant physical attractiveness for some people and general attractiveness for others. Lack of clarity in the measure might have contributed to the null effect. Viewed from the sequential model of facial recognition, null effects simply suggest that source attractiveness does not motivate viewers for a further search. In other words, the minimal responses after the onset of the stimuli for attractive sources might mean that the subjects terminated any further searches for that particular source. Unlike commercials in which stakes are high for the viewers, the present experiment required minimal involvement from subjects. For that reason, they didn't have to pay extra attention to the sources they didn't know much, even if they were attractive sources. And it is important to notice that all the source images used in this study were somehow public figures and may not have the arousal value of personal acquaintances. In sum, the present study provided an important conclusion about source effects: there appear to be some physiological correlates of communication sources. Familiar sources are potential "signal stimuli," like other structural features of television. This finding is valid across different classes of communication sources. Besides supporting theorized claims about face recognition, the experiment's findings have practical implications for the industry. The study provides a physiological basis for classifying media sources along receiver-based criteria such as "signal value." While the evidence provided here can be supportive of the model in facial recognition literature and help our understanding of source effects, future research could identify other physiological correlates of communication sources. The experiment could be replicated for other communication sources not examined in this study. To increase the generalizability of the study, future experiments could benefit from a larger sample of sources. A limitation of the present study is that all the subjects were students enrolled in various communication classes. Certainly, the subjects participated in this study, compared to students from other disciplines, might have more experiences with various news sources. This limits the external validity of the study. Future studies may benefit by using non-communication students as well as non-student subjects. Future research could also explore the detailed processes underlying these effects, and what these effects have to do with other aspects of information processing of communication messages, such as memory and retrieval. Researchers have demonstrated that the arousal dimension of emotion had a stable effect on memory performance. Pictures rated as highly arousing were remembered better than low-arousal stimuli (Bradley, et at., 1992). Applying their findings to the results of this experiment, we may conclude that messages delivered by some communication sources will be better remembered than those delivered by other sources. References Baker, M.J., & Churchill, G.A. (1977). The impact of physically attractive models on advertising evaluations. Journal of Marketing Research, 14, 538-555. Bauer, R.M. (1986). 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Arousal, accessibility of trait constructs, and person perception. Journal of Experimental Social Psychology, 26, 305-321. Sternthal, B., & Phillips, L., & Dholakia, R. (1978). The persuasive effect of source credibility : A Situational Analysis. Public Opinion Quarterly, 42 (fall), 285-314. Tranel, D., Fowles, D.C., & Damasio, A.R. (1985). Electrodermal discrimination of familiar and unfamiliar faces: A methodology. Psychophysiology, 22 (4), 403-408. Wilson, E.J., & Sherell, D.S. (1993). Source effects in communication and persuasion research : A meta-analysis of effect size. Journal of the Academy of Marketing Science, 21(2), 101-112. Figure Caption Figure 1. Amplitude of mean skin conductance responses as a function of different source types: Entertainment (M = .235), Local News (M = .171), National News (M = .160), and Tabloid (M = .14). SCR was measured in microsiemens. Figure Caption Figure 2. Mean differences on credibility as a function of source types. Credibility is a composite of Familiarity, Believability, Likability, Intelligence, Confidence, and Strong-ness. [1] Notes 1 Prosopagnosia is a syndrome in which a patient with brain damage becomes unable to recognize previously familiar persons by visual references to their facial features. The patient recognizes faces as faces, but cannot determine specific facial identity. [2] 2 Six seconds proved to be a practical length for selecting single shots of a wide variety of content (Cuthbert et al., 1996; Detenber & Reeves, 1996).
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