Affect and Cognition in Attitude Formation toward Familiar and Unfamiliar Attitude Objects

At large attitudes are built on earlier experience with the attitude object. If earlier experiences are not available, as is the case for unfamiliar attitude objects such as new technologies, no stored evaluations exist. Yet, people are still somehow able to construct attitudes on the spot. Depending on the familiarity of the attitude object, attitudes may find their basis more in affect or cognition. The current paper investigates differences in reliance on affect or cognition in attitude formation toward familiar and unfamiliar realistic attitude objects. In addition, individual differences in reliance on affect (high faith in intuition) or cognition (high need for cognition) are taken into account. In an experimental survey among Dutch consumers (N = 1870), we show that, for unfamiliar realistic attitude objects, people rely more on affect than cognition. For familiar attitude objects where both affective and cognitive evaluations are available, high need for cognition leads to more reliance on cognition, and high faith in intuition leads to more reliance on affect, reflecting the influence of individually preferred thinking style. For people with high need for cognition, cognition has a higher influence on overall attitude for both familiar and unfamiliar realistic attitude objects. On the other hand, affect is important for people with high faith in intuition for both familiar and unfamiliar attitude objects and for people with low faith in intuition for unfamiliar attitude objects; this shows that preferred thinking style is less influential for unfamiliar objects. By comparing attitude formation for familiar and unfamiliar realistic attitude objects, this research contributes to understanding situations in which affect or cognition is the better predictor of overall attitudes.

[1]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[2]  Geoffrey Haddock,et al.  Individual differences in attitude structure: Variance in the chronic reliance on affective and cognitive information , 2004 .

[3]  Melissa L. Finucane,et al.  Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[4]  S. Chaiken,et al.  The advantages of an inclusive definition of attitude , 2007 .

[5]  Steven J. Breckler,et al.  Affect versus evaluation in the structure of attitudes , 1989 .

[6]  Thomas Dietz,et al.  Values, Beliefs, and Proenvironmental Action: Attitude Formation Toward Emergent Attitude Objects1 , 1995 .

[7]  A. Dudo Toward a Model of Scientists’ Public Communication Activity , 2013 .

[8]  G. Clore,et al.  The Influence of Affect on Attitude , 2005 .

[9]  J Richard Eiser,et al.  Attitude formation through exploration: valence asymmetries. , 2004, Journal of personality and social psychology.

[10]  I. Ajzen Nature and operation of attitudes. , 2001, Annual review of psychology.

[11]  M. Perugini,et al.  Evaluative conditioning in humans: a meta-analysis. , 2010, Psychological bulletin.

[12]  S. Epstein Demystifying Intuition: What It Is, What It Does, and How It Does It , 2010 .

[13]  K. Edwards,et al.  The Interplay of Affect and Cognition in Attitude Formation and Change , 1990 .

[14]  Andreas Glöckner,et al.  Foundations for tracing intuition: Challenges and methods , 2010 .

[15]  Paul Slovic,et al.  The affect heuristic , 2007, Eur. J. Oper. Res..

[16]  J. Rossiter,et al.  The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs , 2007 .

[17]  S. Ossicini,et al.  What is what in the nanoworld , 2004 .

[18]  Wim De Neys,et al.  Dual Processing in Reasoning , 2006, Psychological science.

[19]  J. de Houwer,et al.  Associative learning of likes and dislikes: a review of 25 years of research on human evaluative conditioning. , 2001, Psychological bulletin.

[20]  John R. Rossiter,et al.  The C-OAR-SE procedure for scale development in marketing , 2002 .

[21]  G. Rowe,et al.  Consumer response to novel agri-food technologies: Implications for predicting consumer acceptance of emerging food technologies. , 2011 .

[22]  Cees J H Midden,et al.  The Role of Trust in the Affective Evaluation of Novel Risks: The Case of CO2 Storage , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  Pieter Desmet,et al.  Measuring Emotion: Development and Application of an Instrument to Measure Emotional Responses to Products , 2005, Funology.

[24]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .

[25]  H. Plessner,et al.  The Benefits of Intuition , 2008 .

[26]  A. Damasio The somatic marker hypothesis and the possible functions of the prefrontal cortex. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[27]  N. Schwarz ATTITUDE CONSTRUCTION: EVALUATION IN CONTEXT , 2007 .

[28]  Antonio Damasio,et al.  The somatic marker hypothesis: A neural theory of economic decision , 2005, Games Econ. Behav..

[29]  Bas Verplanken,et al.  Accessibility of affective versus cognitive components of attitudes. , 1998 .

[30]  J. Gross,et al.  Emotion-Regulation Choice , 2011, Psychological science.

[31]  Bruce V. Lewenstein,et al.  Public Attitudes toward Emerging Technologies , 2005 .

[32]  H. Plessner,et al.  Intuition in judgment and decision making , 2008 .

[33]  R. Zajonc Feeling and thinking : Preferences need no inferences , 1980 .

[34]  Victor E. Borisenko,et al.  What is What in the Nanoworld A Handbook on Nanoscience and Nanotechnology Second, Completely Revied and Enlarged Edition , 2008 .

[35]  R. Bornstein Exposure and affect: Overview and meta-analysis of research, 1968–1987. , 1989 .

[36]  S. Chaiken,et al.  When Parsimony Fails. .. , 1999 .

[37]  R. Fazio Attitudes as Object-Evaluation Associations of Varying Strength. , 2007, Social cognition.

[38]  P. Green,et al.  Analyzing multivariate data , 1978 .

[39]  J. Russell A circumplex model of affect. , 1980 .

[40]  A. Glöckner,et al.  Information Processing in Decisions Under Risk: Evidence for Compensatory Strategies Based on Automatic Processes , 2008 .

[41]  Dietram A. Scheufele,et al.  The Public and Nanotechnology: How Citizens Make Sense of Emerging Technologies , 2005 .

[42]  J. Cacioppo,et al.  The need for cognition. , 1982 .

[43]  G. Clore,et al.  How emotions inform judgment and regulate thought , 2007, Trends in Cognitive Sciences.

[44]  R. Petty,et al.  Measuring the Affective and Cognitive Properties of Attitudes: Conceptual and Methodological Issues , 1994 .

[45]  J. Gross Emotion regulation: affective, cognitive, and social consequences. , 2002, Psychophysiology.

[46]  G. Maio,et al.  Should Persuasion Be Affective or Cognitive? The Moderating Effects of Need for Affect and Need for Cognition , 2008, Personality & social psychology bulletin.

[47]  S. Epstein,et al.  Individual differences in intuitive-experiential and analytical-rational thinking styles. , 1996, Journal of personality and social psychology.

[48]  M. Wänke,et al.  Liking What's FamiLiar: the importance oF UnconscioUs FamiLiarity in the mere-exposUre eFFect , 2009 .

[49]  F. Van Overwalle,et al.  A Connectionist Model of Attitude Formation and Change , 2005, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[50]  Jean E. Pretz,et al.  Measuring individual differences in affective, heuristic, and holistic intuition , 2007 .

[51]  P. Slovic What's Fear Got to Do with It - It's Affect We Need to Worry About , 2004 .

[52]  R. Giner-Sorolla,et al.  Is affective material in attitudes more accessible than cognitive material? The moderating role of attitude basis , 2004 .

[53]  H. Bless,et al.  Predicting future affective states: How ease of retrieval and faith in intuition moderate the impact of activated content , 2009 .

[54]  B. Loken Consumer psychology: categorization, inferences, affect, and persuasion. , 2006, Annual review of psychology.

[55]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[56]  Yves Rosseel,et al.  lavaan: An R Package for Structural Equation Modeling , 2012 .

[57]  Ashesh Mukherjee,et al.  The Effect of Novel Attributes on Product Evaluation : Explaining Consumer Resistance to Technological Innovation , 2001 .