Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory

Sekoguchi, Takahiro; Sakai, Yuki; Yanagisawa, Hideyoshi

doi:10.1109/smc.2019.8914626

Cited by 11 publications

(12 citation statements)

References 9 publications

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“…We mathematically formulated habituation to repeated exposure of novel stimuli based on our previously proposed model of emotional dimensions associated with novelty (12,26,27).…”

Section: Modeling Habituation To Noveltymentioning

confidence: 99%

How predictability affects habituation to novelty?

Ueda

Sekoguchi

Yanagisawa

2020

Preprint

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One becomes accustomed to repeated exposures, even for a novel event. In the present study, we investigated how predictability affects habituation to novelty by applying a mathematical model of arousal that we previously developed, and conducted a psychophysiological experiment to test the model prediction. We formalized habituation to novelty as a decrement in Kullback-Leibler divergence from Bayesian prior to posterior (i.e., information gain) representing arousal evoked from a novel event through Bayesian update. The model predicted an interaction effect between initial uncertainty and initial prediction error (i.e., predictability) on habituation to novelty: The greater the initial uncertainty, the faster the information gain decreases (i.e., the sooner one is habituated). Experimental results using subjective reports of surprise and event-related potential (P300) evoked by visual-auditory incongruity supported the model prediction. Our findings suggest that in highly uncertain situations, repeated exposure to stimuli may enhance habituation to novel stimuli.

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“…We mathematically formulated habituation to repeated exposure of novel stimuli based on our previously proposed model of emotional dimensions associated with novelty (12,26,27).…”

Section: Modeling Habituation To Noveltymentioning

confidence: 99%

How predictability affects habituation to novelty?

Ueda

Sekoguchi

Yanagisawa

2020

Preprint

Self Cite

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show abstract

“…In this study, we assumed decrement of arousal evoked by the same event as habituation to novelty and aimed to elucidate how predictability affects habituation to novelty. We investigated the effect of predictability on habituation to novelty by applying our mathematical model of arousal [12,15,16]. We formulated habituation to novelty as a decrement in information gain (KL divergence from prior to posterior) representing arousal through prior updating by Bayesian posterior in our previous study [15,16].…”

Section: Introductionmentioning

confidence: 99%

How predictability affects habituation to novelty

2021

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One becomes accustomed to repeated exposures, even for a novel event. In the present study, we investigated how predictability affects habituation to novelty by applying a mathematical model of arousal that we previously developed, and through the use of psychophysiological experiments to test the model’s prediction. We formalized habituation to novelty as a decrement in Kullback-Leibler divergence from Bayesian prior to posterior (i.e., information gain) representing arousal evoked from a novel event through Bayesian update. The model predicted an interaction effect between initial uncertainty and initial prediction error (i.e., predictability) on habituation to novelty: the greater the initial uncertainty, the faster the decrease in information gain (i.e., the sooner habituation occurs). This prediction was supported by experimental results using subjective reports of surprise and event-related potential (P300) evoked by visual-auditory incongruity. Our findings suggest that in highly uncertain situations, repeated exposure to stimuli can enhance habituation to novel stimuli.

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“…Habituation to novelty and changes in emotions associated with habituation are important in the design of long-term product experience. Having formulated a mathematical model of habituation based on the emotional dimension model (Yanagisawa et al, 2019), We previously modelled habituation to novelty as a decrement of information gain through Bayesian update and found that the initial prediction error and uncertainty affect habituation (Sekoguchi, 2019). Our model was experimentally supported using the ERP.…”

Section: Introductionmentioning

confidence: 79%

“…a. Emotional arousal model In this section, we review our emotional arousal model in terms of habituation to novelty (Sekoguchi, 2019;. Novelty was defined as the amount of information acquired when an event is experienced.…”

Section: Modelling Acceptable Novelty Transitionsmentioning

confidence: 99%

“…This study sought to develop a mathematical model to explain and predict transitions in valence caused by habituation to novelty. We extents our models of emotion dimensions (Sekoguchi, 2019;Yanagisawa et al, 2019) to consider the valence transitions in novelty habituation. We formulate the framework for a mathematical model of valence transitions using the free-energy (Friston, Kilner, & Harrison, 2006) as arousal potential (Yanagisawa, 2020), and analysed the effects of initial prediction error and initial uncertainty on valence transitions with the model.…”

Section: Introductionmentioning

confidence: 99%

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Modelling acceptable novelty transitions with emotional habituation: Effects of uncertainty and prediction error on preference changes

Sekoguchi

Yanagisawa

2020

Preprint

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Previous mathematical models developed to optimize the degree of novelty in product design have represented novelty by emotional dimensions such as arousal (surprise) and valence (positivity and negativity). Formalizing arousal as Bayesian information gain and valence as a function of arousal based on Berlyne’s arousal potential theory, the model indicates that novelty becomes acceptable with repeated exposure and changes the preferences of the users. Hence, acceptable novelty transitions are important in the design of long-term product experience. We propose a mathematical model of acceptable novelty transitions with emotional habituation based on the emotional dimension model. We formalized valence as a function of information-theoretic free-energy and expressed free-energy as a function of three parameters: initial prediction error, initial uncertainty, and noise of sensory stimulus. To verify whether the transition speed of acceptable novelty depends on the initial uncertainty in our model, we analysed the responses of participants to historic artworks; we manipulated the uncertainty level by varying the obscurity of the presented pieces and the prediction error by rendering them in different artistic styles. We used the subjective reports of valence in response to the samples as measures of valence levels. The experimental results support our hypothesis.

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Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory

Cited by 11 publications

References 9 publications

How predictability affects habituation to novelty?

How predictability affects habituation to novelty?

How predictability affects habituation to novelty

Modelling acceptable novelty transitions with emotional habituation: Effects of uncertainty and prediction error on preference changes

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