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Novelty Processing and Emotion: Conceptual Developments, Empirical Findings and Virtual Environments

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Emotion-Oriented Systems

Part of the book series: Cognitive Technologies ((COGTECH))

Abstract

Novelty detection is a crucial ability of organisms to detect changes in the environment and to adapt their behaviours accordingly. In this chapter we review a conceptual framework of novelty detection informed by cognitive neuroscience and cognitive psychology. The relationship between attentional processes and novelty detection is also discussed and developed, supported by a case study highlighting methods for implementing a novelty detection capability for artificial agents in virtual environments.

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References

  • Adolphs R (2004, November) Emotional vision. Nat Neurosci 7(11):1167–1168

    Article  Google Scholar 

  • Aloimonos JY, Weiss I, Bandopadhay A (1987) Active vision in Proc. 1st Int. Conf. Comput. Vis., London, UK, pp 35–54

    Google Scholar 

  • Ball SA (2004) Personality traits, disorders, and substance abuse. In: Stelmack RM (ed) On the psychobiology of personality: essays in honor of Marvin Zuckerman. Elsevier, New York, NY, pp 203–222

    Chapter  Google Scholar 

  • Bernstein AS (2002) The orienting response and stimulus significance: further comments. Biol Psychol 12(2–3):171–185

    Google Scholar 

  • Breazeal C, Brooks R (2005) Robot emotion: a functional perspective. In: Fellous JM, Arbib MA (eds) Who needs emotions? The brain meets the Robot, Oxford University Press, NY, pp 271–310

    Google Scholar 

  • Chen A, McLeod D (2005, May) Semantics-based similarity decisions for ontologies. In: ICEIS 2005, proceedings of the 7th international conference on enterprise information systems, Miami, USA, May

    Google Scholar 

  • Chong H, Riis JL, McGinnis SM, Williams DM, Holcomb PJ, Daffner KR (2008) To ignore or explore: top-down modulation of novelty processing. J Cogn Neurosci 20(1):120–134

    Article  Google Scholar 

  • Cloninger CR, Svrakic DM, Przybeck TR (1993) A psychobiological model of temperament and character. Archiv General Psychiatry 50(12):975–990

    Google Scholar 

  • Comerchero MD, Polich J (1999) P3a and P3b from typical auditory and visual stimuli. Clin Neurophysiol 110(1):24–30

    Article  Google Scholar 

  • Delplanque S, N’Diaye K, Scherer K, Grandjean D (2007) Spatial frequencies or emotional effects? A systematic measure of spatial frequencies for IAPS pictures by a discrete wavelet analysis. J Neurosci Methods 165(1):144–150

    Article  Google Scholar 

  • Desire L, Veissier I, Despres G, Boissy A (2004) On the Way to Assess Emotions in Animals: Do Lambs (Ovis aries) Evaluate an Event Through Its Suddenness, Novelty, or Unpredictability? J Comp Psychol 118(4):363–374

    Article  Google Scholar 

  • Friedman D, Cycowicz YM, Gaeta H (2001) The novelty P3: an event-related brain potential (ERP) sign of the brain’s evaluation of novelty. Neurosci Biobehav Rev 25(4):355–373

    Article  Google Scholar 

  • Friedman D, Simpson G, Hamberger M (1993) Age-related changes in scalp topography to novel and target stimuli. Psychophysiology 30(4):383–396

    Article  Google Scholar 

  • Grandjean D (2005) Etude lectrophysiologique des processus cognitifs dans la gense de l’motion. University of Geneva, Geneva

    Google Scholar 

  • Grandjean D, Sander D, Scherer KR (2008) Conscious emotional experience emerges as a function of multilevel, appraisaldriven response synchronization. Conscious Cogn 17(2):484–495

    Article  Google Scholar 

  • Grandjean D, Scherer K (2008) Unpacking the cognitive architecture of emotion processes. Emotion 8(3):341–351

    Article  Google Scholar 

  • Habib R, McIntosh AR, Wheeler MA, Tulving E (2003) Memory encoding and hippocampally-based novelty/familiarity discrimination networks. Neuropsychologia 41(3):271–279

    Article  Google Scholar 

  • Halgren E, Baudena P, Clarke JM, Heit G, Liegeois C, Chauvel P, Musolino A (1995a) Intracerebral potentials to rare target and distractor auditory and visual stimuli. I. Superior temporal plane and parietal lobe. Electroencephalogr Clin Neurophysiol 94(3):191–220

    Article  Google Scholar 

  • Halgren E, Baudena P, Clarke JM, Heit G, Marinkovic K, Devaux B, Vignal JP, Biraben A (1995b) Intracerebral potentials to rare target and distractor auditory and visual stimuli. II. Medial, lateral and posterior temporal lobe. Electroencephalogr Clin Neurophysiol 94(4):229–250

    Article  Google Scholar 

  • Henson RN, Rugg MD (2003) Neural response suppression, haemodynamic repetition effects, and behavioural priming. Neuropsychologia 41(3):263–270

    Article  Google Scholar 

  • Hodge VJ, Austin J (2004) A survey of outlier detection methodologies. Artif Intell Rev, 22(2):85–126

    Article  MATH  Google Scholar 

  • Itti L, Baldi P (2009) Bayesian surprise attracts human attention. Vis Res 49(10):1295–1306

    Article  Google Scholar 

  • Itti L, Koch C, Niebur E (1998 November) A model of saliency-based visual attention for rapid scene analysis. IEEE Trans Pattern Anal Mach Intell (PAMI) 20(11):1254–1259

    Article  Google Scholar 

  • Knight RT (1996) Contribution of human hippocampal region to novelty detection. Nature, 383(6597):256–259

    Article  Google Scholar 

  • Knight RT (1984) Decreased response to novel stimuli after prefrontal lesions in man. Electroencephalogr Clin Neurophysiol 59(1):9–20 (1984)

    Article  Google Scholar 

  • Knight RT, Nakada T (1998) Cortico-limbic circuits and novelty: a review of EEG and blood flow data. Rev Neurosci 9(1):57–70 (1998)

    Google Scholar 

  • Lang PJ, Bradley MM, Cuthbert BN (2005) International affective picture system (IAPS): affective ratings of pictures and instruction manual. Technical Report A-6. University of Floridao, Gainesville, FL

    Google Scholar 

  • Lazarus R (1991) Emotion and adaptation. Oxford University Press New York, NY

    Google Scholar 

  • Leventhal H, Scherer K (1987) The relationship of emotion to cognition: a functional approach to a semantic controversy. Cogn Emot 1(1):3–28

    Article  Google Scholar 

  • Lungarella M, Metta G, Pfeifer R, Sandini G (2003) Developmental robotics: a survey. Connection Sci 15(4):151–190

    Article  Google Scholar 

  • Markou M, Singh S (2003) Novelty detection: a review, part 2: neural network based approaches. Signal Process 83(12):2499–2521

    Article  MATH  Google Scholar 

  • Marsland S, Nehmzow U, Shapiro J (2002) Environment-specific novelty detection. In: From animals to animats, Proceedings of 7th international conference on simulation of adaptive behaviour, Edinburgh

    Google Scholar 

  • Marsland S, Nehmzow U, Shapiro J (2000 January) Detecting novel features of an environment using habituation. In: Proceedings of simulation of adaptive behaviour. MIT Press, Cambridge, MA, pp 189–198

    Google Scholar 

  • Naatanen R, Paavilainen P, Rinne T, Alho K (2007) The mismatch negativity (MMN) in basic research of central auditory processing: a review. Clin Neurophysiol 118(12):2544–2590

    Article  Google Scholar 

  • Navalpakkam V, Itti L (2002, November) A goal oriented attention guidance model. Lect Notes Comput Sci 2525:453–461

    Article  Google Scholar 

  • Neto HV, Nehmzow U (2007) Visual novelty detection with automatic scale selection. Robot Auton Syst 55(9):711–719

    Article  Google Scholar 

  • Neto HV (2006) Visual novelty detection for autonomous inspection robots. PhD thesis, University of Essex, Colchester, UK

    Google Scholar 

  • Oliva A, Torralba A (2001, May) Modeling the shape of the scene: A holistic representation of the spatial envelope. Int J Comput Vis 42(3):145–175, May

    Article  MATH  Google Scholar 

  • Peters C (2007) Designing an emotional and attentive virtual infant. In: Proceedings of the 2nd international conference on affective computing and intelligent interaction (ACII), Lisbon, Portugal, September 12–14, 2007. Lect Notes Comput Sci (LNCS) 4738:386–397

    Google Scholar 

  • Peters C (2006, September) Designing synthetic memory systems for supporting autonomous embodied agent behaviour. In: Proceedings of the 15th international symposium on robot and human interactive communication (RO-MAN), University of Hertfordshire, Hatfield, UK, pp 14–19

    Google Scholar 

  • Peters C, Grandjean D (2008, May) A visual novelty detection component for virtual agents. In: Paletta L (ed) Proceedings of the fifth international workshop on attention and performance in computational vision (WAPCV), Santorini, Greece, pp 289–300

    Google Scholar 

  • Polich J (1988) Bifurcated P300 peaks: P3a and P3b revisited? J Clin Neurophysiol 5(3):287–294

    Article  Google Scholar 

  • Polich J (2007) Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol 118(10):2128–2148

    Article  Google Scholar 

  • Ranganath C, Rainer G (2003) Neural mechanisms for detecting and remembering novel events. Nat Rev Neurosci 4(3):193–202

    Article  Google Scholar 

  • Ringo JL (1996) Stimulus specific adaptation in inferior temporal and medial temporal cortex of the monkey. Behav Brain Res 76(1–2):191–197

    Article  Google Scholar 

  • Sander D, Grandjean D, Scherer KR (2005) A systems approach to appraisal mechanisms in emotion. Neural Netw 18(4):317–352

    Article  Google Scholar 

  • Savage-Rumbaugh ES, Toth N, Schick K (2003) Kanzi Learns to Knap Stone Tools. In: Washburn DA (ed) Primate perspectives on behavior and cognition. American Psychological Association Washington, DC, pp 279–291

    Google Scholar 

  • Scherer K (2001) Appraisal processes in emotion: theory, methods, research, chapter Appraisal considered as a process of multilevel sequential checking. Oxford University Press, New York, NY, pp 92–120

    Google Scholar 

  • Scherer KR (1984) On the nature and function of emotion. A component process approach. In: Scherer KR, Ekman P (eds) Approaches to emotion. Erlbaum, Hillsdale, pp 293–317

    Google Scholar 

  • Siddle DAT, Lipp OV (1997) Orienting, habituation, and information processing: The effects of omission, the role of expectancy, and the problem of dishabituation. In: Lang PJ, Simons RF, Balaban MT (eds) Attention and orienting: sensory and motivational processes. Lawrence Erlbaum Associates, Mahwah, NJ, pp 23–40

    Google Scholar 

  • Thorisson K (1994) Simulated perceptual grouping: an application to human computer interaction. In: Proceedings of the 16th annual conference of cognitive science society, Atlanta GA, pp 876–881

    Google Scholar 

  • Tulving E, Kroll N (1995) Novelty assessment in the brain and long-term memory encoding. Psychonomic Bull Rev 2(3):387–390

    Article  Google Scholar 

  • Tulving E, Markowitsch HJ, Kapur S, Habib R, Houle S (1994) Novelty encoding networks in the human brain: positron emission tomography data. Neuroreport 5(18):2525–2528

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Neuroscience of Emotion and Affective Dynamics Laboratory, Department of Psychology, University of Geneva, Geneva, Switzerland

    Didier Grandjean

  2. Coventry University, Coventry, UK

    Christopher Peters

Authors
  1. Didier Grandjean
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  2. Christopher Peters
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Correspondence to Didier Grandjean .

Editor information

Editors and Affiliations

  1. , Department of Psychology, Queen's University Belfast, Belfast, BT7 1NN, United Kingdom

    Roddy Cowie

  2. TELECOM ParisTech, CNRS - LTCI, rue Dareau 37, Paris, 75014, France

    Catherine Pelachaud

  3. for Artificial Intelligence (OFAI), Austrian Research Institute, Freyung 6/6, Vienna, 1010, Austria

    Paolo Petta

Glossary

real novelty

Refers to a new object instance that has never been or rarely been encountered before, although it may fall into a known object category. For example, a car may be deemed novel as this particualr instance has never been observed before.

perceptual novelty

Perceptual novelty is the assembly of a new representation of an object never perceived in the past by the organism and requiring a new encoding in short-term and long-term memory.

partial novelty

Partial novelty would be involved when an organism perceives an object looking like an already perceived object in the past but presenting some perceptual differences on one or several of these characteristics. For example if a baby used to play with a red ball, a new violet ball will not be totally new; its only one or several of these characteristic which are new; the categorization processes are very important in this concept of partial novelty.

contextual novelty

Contextual novelty refers to the situations in which an object is perceived in a new context or emerged in a given stable context. For example a ball on the table, while such objects are usually on the floor, would induce a novelty detection phenomenon.

semantic novelty

Semantic novelty refers to a situation in which the relationships between the objects or the concepts are organized in a new manner and have never been perceived such as in the past. The fact that individuals are able to create a new tool or a new concept from a series of well-known objects or ideas is characteristic of this type of novelty.

synthetic perceptual maps

Gray scale topographic retinotopic maps that represent the visual world as seen through the eyes of a viewer, where the value of a location in the map is the strength of a feature or resultant operation based on the corresponding spatial location.

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Grandjean, D., Peters, C. (2011). Novelty Processing and Emotion: Conceptual Developments, Empirical Findings and Virtual Environments. In: Cowie, R., Pelachaud, C., Petta, P. (eds) Emotion-Oriented Systems. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15184-2_23

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  • DOI: https://doi.org/10.1007/978-3-642-15184-2_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15183-5

  • Online ISBN: 978-3-642-15184-2

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