Why some surprises are more surprising than others: Surprise as a metacognitive sense of explanatory difficulty

Early theories of surprise, including Darwin's, argued that it was predominantly a basic emotion. Recently, theories have taken a more cognitive view of surprise, casting it as a process of "making sense of surprising events". The current paper advances the view that the essence of this sense-making process is explanation; specifically, that people's perception of surprise is a metacognitive estimate of the cognitive work involved in explaining an abnormal event. So, some surprises are more surprising because they are harder to explain. This proposal is tested in eight experiments that explore how (i) the contents of memory can influence surprise, (ii) different classes of scenarios can retrieve more/less relevant knowledge from memory to explain surprising outcomes, (iii) how partial explanations constrain the explanation process, reducing surprise, and (iv) how, overall, any factor that acts to increase the cognitive work in explaining a surprising event, results in higher levels of surprise (e.g., task demands to find three rather than one explanations). Across the present studies, using different materials, paradigms and measures, it is consistently and repeatedly found that the difficulty of explaining a surprising outcome is the best predictor for people's perceptions of the surprisingness of events. Alternative accounts of these results are considered, as are future directions for this research.

[1]  P. Thagard,et al.  Coherence in Thought and Action , 2000 .

[2]  Mark T. Keane,et al.  A Model of Plausibility , 2006, Cogn. Sci..

[3]  Dale T. Miller,et al.  Norm theory: Comparing reality to its alternatives , 1986 .

[4]  J. J. Williams,et al.  The hazards of explanation: overgeneralization in the face of exceptions. , 2013, Journal of experimental psychology. General.

[5]  J. Piaget,et al.  The Origins of Intelligence in Children , 1971 .

[6]  Jason E. Albrecht,et al.  Updating a situation model: a memory-based text processing view. , 1998, Journal of experimental psychology. Learning, memory, and cognition.

[7]  M. Pezzo,et al.  Making sense of failure: A motivated model of hindsight bias. , 2007 .

[8]  Danielle S. McNamara,et al.  Training Self Explanation and Reading Strategies , 1999 .

[9]  Melody Dye,et al.  Dual routes to cognitive flexibility: learning and response-conflict resolution in the dimensional change card sort task. , 2013, Child development.

[10]  D. Schkade,et al.  Expectation-outcome consistency and hindsight bias , 1991 .

[11]  N. Tsang Surprise in Social Work Education , 2013 .

[12]  Edward Munnich,et al.  Can Causal Sense-Making Benefit Foresight, Rather than Biasing Hindsight? , 2014, CogSci.

[13]  G. Rainer,et al.  Cognitive neuroscience: Neural mechanisms for detecting and remembering novel events , 2003, Nature Reviews Neuroscience.

[14]  Arthur C. Graesser,et al.  Dimensions of situation model construction in narrative comprehension. , 1995 .

[15]  R. Nisbett,et al.  Cultural psychology of surprise: holistic theories and recognition of contradiction. , 2000, Journal of personality and social psychology.

[16]  D. McNamara Reading both high-coherence and low-coherence texts: effects of text sequence and prior knowledge. , 2001, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[17]  S. Carey,et al.  Functional explanation and the function of explanation , 2006, Cognition.

[18]  T. Lombrozo Explanation and Abductive Inference , 2012 .

[19]  Timothy D. Wilson,et al.  Explaining Away: A Model of Affective Adaptation , 2008, Perspectives on psychological science : a journal of the Association for Psychological Science.

[20]  D. Mandel Effect of counterfactual and factual thinking on causal judgements , 2003 .

[21]  John E. Laird,et al.  The Soar Cognitive Architecture , 2012 .

[22]  David Mazursky,et al.  Does a surprising outcome reinforce or reverse the hindsight bias , 1997 .

[23]  Roger C. Schank,et al.  Explanation Patterns: Understanding Mechanically and Creatively , 1986 .

[24]  T. Trabasso,et al.  Constructing inferences during narrative text comprehension. , 1994, Psychological review.

[25]  R. Reisenzein Exploring the Strength of Association between the Components of Emotion Syndromes: The Case of Surprise , 2000 .

[26]  Ruth Wylie,et al.  The Self-Explanation Principle in Multimedia Learning , 2014 .

[27]  P N Johnson-Laird,et al.  Hidden conflicts: explanations make inconsistencies harder to detect. , 2012, Acta psychologica.

[28]  Derek Partridge,et al.  Surprisingness and Expectation Failure: What's the Difference? , 1987, IJCAI.

[29]  Stefan L. Frank,et al.  Surprisal-based comparison between a symbolic and a connectionist model of sentence processing , 2009 .

[30]  Boris Egloff,et al.  Increased or reversed? The effect of surprise on hindsight bias depends on the hindsight component. , 2009, Journal of experimental psychology. Learning, memory, and cognition.

[31]  Mark T. Keane,et al.  Surprise: Disconfirmed expectations or representation-fit? , 2006 .

[32]  Linda L. Carli Cognitive Reconstruction, Hindsight, and Reactions to Victims and Perpetrators , 1999 .

[33]  A. Tversky,et al.  The simulation heuristic , 1982 .

[34]  W. Meyer,et al.  Toward a Process Analysis of Emotions: The Case of Surprise , 1997 .

[35]  Mark T. Keane,et al.  A Computational Theory of Subjective Probability [Featuring a Proof that the Conjunction Effect is not a Fallacy] , 2013, CogSci.

[36]  Rolf A. Zwaan,et al.  Situation models in language comprehension and memory. , 1998, Psychological bulletin.

[37]  P. Ekman,et al.  Constants across cultures in the face and emotion. , 1971, Journal of personality and social psychology.

[38]  Mark T. Keane Constraints on Analogical Mapping: A Comparison of Three Models , 1994, Cogn. Sci..

[39]  Walter Kintsch,et al.  Comprehension: A Paradigm for Cognition , 1998 .

[40]  Michelene T. H. Chi,et al.  Eliciting Self-Explanations Improves Understanding , 1994, Cogn. Sci..

[41]  Rainer Reisenzein,et al.  The Role of Surprise in the Attribution Process , 1995 .

[42]  Michel Manago,et al.  Advances in Case-Based Reasoning , 1994, Lecture Notes in Computer Science.

[43]  J. Turner Human Emotions: A Sociological Theory , 2007 .

[44]  Roger C. Schank,et al.  Inside case-based explanation , 1994, Artificial intelligence series.

[45]  Mark T. Keane,et al.  Surprise! You've Got Some Explaining to Do , 2013, CogSci.

[46]  Rainer Reisenzein,et al.  On the expression and experience of surprise: no evidence for facial feedback, but evidence for a reverse self-inference effect. , 2007, Emotion.

[47]  F. Keil,et al.  Explanation and understanding , 2015 .

[48]  Michelene T. H. Chi,et al.  Self-Explanations: How Students Study and Use Examples in Learning To Solve Problems. Technical Report No. 9. , 1987 .

[49]  Derek J. Koehler,et al.  Explanation, imagination, and confidence in judgment. , 1991, Psychological bulletin.

[50]  Jeffrey Loewenstein,et al.  The Repetition-Break Plot Structure: A Cognitive Influence on Selection in the Marketplace of Ideas , 2009, Cogn. Sci..

[51]  A. Schützwohl,et al.  Surprise and schema strength , 1998 .

[52]  Arthur C. Graesser,et al.  Computational Analyses of Multilevel Discourse Comprehension , 2011, Top. Cogn. Sci..

[53]  A. Ortony,et al.  What's basic about basic emotions? , 1990, Psychological review.

[54]  J. J. Williams,et al.  Why does explaining help learning? Insight from an explanation impairment effect , 2010 .

[55]  Mark T. Keane,et al.  Making sense of surprise: an investigation of the factors influencing surprise judgments. , 2011, Journal of experimental psychology. Learning, memory, and cognition.

[56]  Ruth M. J. Byrne,et al.  Semifactual “even if” thinking , 2002 .

[57]  L. Macedo The Practical Advantage of Surprise-based Agents (Extended Abstract) , 2010 .

[58]  Robert Michael Young,et al.  Suspense? Surprise! or How to Generate Stories with Surprise Endings by Exploiting the Disparity of Knowledge between a Story's Reader and Its Characters , 2009, ICIDS.

[59]  M. Pezzo,et al.  Surprise, defence, or making sense: What removes hindsight bias? , 2003, Memory.

[60]  D. Stahlberg,et al.  The Role of Surprise in Hindsight Bias: A Metacognitive Model of Reduced and Reversed Hindsight Bias , 2007 .

[61]  Susan T. Dumais,et al.  How come you know so much? From practical problem to theory , 1996 .

[62]  Morteza Dehghani,et al.  Causal Explanation and Fact Mutability in Counterfactual Reasoning , 2012 .

[63]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[64]  Susan T. Dumais,et al.  The latent semantic analysis theory of knowledge , 1997 .

[65]  Robert Michael Young,et al.  A Use of Flashback and Foreshadowing for Surprise Arousal in Narrative Using a Plan-Based Approach , 2008, ICIDS.

[66]  Morton Ann Gernsbacher,et al.  Two Decades of Structure Building. , 1997, Discourse processes.

[67]  J. Tenenbaum,et al.  From mere coincidences to meaningful discoveries , 2007, Cognition.

[68]  Reid Hastie,et al.  Hindsight and Causality , 1991 .

[69]  A. Cardoso Creativity and Surprise , 2000 .

[70]  Rainer Reisenzein,et al.  Children’s and Adults’ Reactions to a Schema-discrepant Event: A Developmental Analysis of Surprise , 1999 .

[71]  Benjamin Naumann The Architecture Of Cognition , 2016 .

[72]  Morton Ann Gernsbacher,et al.  Language Comprehension As Structure Building , 1990 .

[73]  David Leake,et al.  Goal-Based Explanation Evaluation , 1991, Cogn. Sci..

[74]  Pierre Baldi,et al.  Bayesian surprise attracts human attention , 2005, Vision Research.

[75]  R. Byrne,et al.  “If only” counterfactual thoughts about exceptional actions , 2011, Memory & cognition.

[76]  James M. Olson,et al.  Counterfactuals, Causal Attributions, and the Hindsight Bias: A Conceptual Integration , 1996 .

[77]  Edward Munnich,et al.  Surprise, Surprise: The Role of Surprising Numerical Feedback in Belief Change , 2007 .

[78]  Gideon Keren,et al.  When are successes more surprising than failures? , 2002 .

[79]  F. Strack,et al.  Ease of retrieval as information: Another look at the availability heuristic. , 1991 .

[80]  John R. Anderson,et al.  Rules of the Mind , 1993 .

[81]  A. Cardoso,et al.  Modeling Forms of Surprise in Artificial Agents: Empirical and Theoretical Study of Surprise Functions , 2004 .

[82]  C. Darwin The Expression of the Emotions in Man and Animals , .

[83]  T. Connolly The rational imagination: how people create alternatives to reality (1st ed., 284 pp.). By R. M. J. Byrne. Cambridge, MA: MIT Press, 2005. ISBN 0‐262‐02584‐1 , 2008 .

[84]  Guido H. E. Gendolla,et al.  Surprise in the Context of Achievement: The Role of Outcome Valence and Importance , 1997 .

[85]  Ruth Feldman,et al.  On the origins of background emotions: from affect synchrony to symbolic expression. , 2007, Emotion.

[86]  P. Johnson-Laird,et al.  Reasoning from inconsistency to consistency. , 2004, Psychological review.

[87]  Allen Newell,et al.  SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..

[88]  Ivan K. Ash,et al.  Surprise, memory, and retrospective judgment making: testing cognitive reconstruction theories of the hindsight bias effect. , 2009, Journal of experimental psychology. Learning, memory, and cognition.

[89]  R. Byrne,et al.  Spontaneous counterfactual thoughts and causal explanations , 2006 .

[90]  B. Love,et al.  The myth of computational level theory and the vacuity of rational analysis , 2011, Behavioral and Brain Sciences.

[91]  N. Roese Counterfactual thinking. , 1997, Psychological bulletin.

[92]  R. Byrne Mental models and counterfactual thoughts about what might have been , 2002, Trends in Cognitive Sciences.

[93]  Daniel Kahneman,et al.  Availability: A heuristic for judging frequency and probability , 1973 .

[94]  Alexandra Touroutoglou,et al.  Cognitive Interruption as an Object of Metacognitive Monitoring: Feeling of Difficulty and Surprise , 2010 .

[95]  J. Stainer,et al.  The Emotions , 1882, Nature.

[96]  Daniel M. Oppenheimer,et al.  Harry Potter and the sorcerer's scope: latent scope biases in explanatory reasoning , 2011, Memory & cognition.

[97]  Emiliano Lorini,et al.  The Unexpected Aspects of Surprise , 2006, Int. J. Pattern Recognit. Artif. Intell..

[98]  G. Wells,et al.  Mental Simulation of Causality , 1989 .

[99]  F. Heider The psychology of interpersonal relations , 1958 .

[100]  Kelley Durkin,et al.  The Self-Explanation Effect when Learning Mathematics: A Meta-Analysis. , 2011 .

[101]  Guido H. E. Gendolla,et al.  Surprise and Motivation of Causal Search: How Are They Affected by Outcome Valence and Importance? , 2001 .

[102]  D. Schön,et al.  Emotional prosody: sex differences in sensitivity to speech melody , 2002, Trends in Cognitive Sciences.

[103]  Jordi Vallverdú,et al.  Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence , 2009 .

[104]  S. Tomkins,et al.  Affect Imagery Consciousness: The Positive Affects , 1963 .

[105]  K. Teigen,et al.  Surprises: low probabilities or high contrasts? , 2003, Cognition.

[106]  Pierre Baldi,et al.  Of bits and wows: A Bayesian theory of surprise with applications to attention , 2010, Neural Networks.

[107]  M. Gernsbacher Cognitive processes and mechanisms in language comprehension : the structure building framework , 1991 .

[108]  P. Silvia Looking past pleasure: Anger, confusion, disgust, pride, surprise, and other unusual aesthetic emotions. , 2009 .