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Peter Juslin [27]Patrik N. Juslin [10]Patrik Juslin [1]P. Juslin [1]
  1. Emotional responses to music: The need to consider underlying mechanisms.Patrik N. Juslin & Daniel Västfjäll - 2008 - Behavioral and Brain Sciences 31 (5):559-575.
    Research indicates that people value music primarily because of the emotions it evokes. Yet, the notion of musical emotions remains controversial, and researchers have so far been unable to offer a satisfactory account of such emotions. We argue that the study of musical emotions has suffered from a neglect of underlying mechanisms. Specifically, researchers have studied musical emotions without regard to how they were evoked, or have assumed that the emotions must be based on the mechanism for emotion induction, a (...)
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  2. Handbook of Music and Emotion: Theory, Research, Applications.Patrik N. Juslin & John Sloboda (eds.) - 2011 - Oxford University Press.
    A successor to the acclaimed 'Music and Emotion', The Handbook of Music and Emotion provides comprehensive coverage of the field, in all its breadth and depth. As well as summarizing what is currently known about music and emotion, it will also stimulate further research in promising directions that have been little studied.
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  3.  12
    Naive empiricism and dogmatism in confidence research: A critical examination of the hard–easy effect.Peter Juslin, Anders Winman & Henrik Olsson - 2000 - Psychological Review 107 (2):384-396.
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  4.  23
    Probability theory, not the very guide of life.Peter Juslin, Håkan Nilsson & Anders Winman - 2009 - Psychological Review 116 (4):856-874.
  5.  7
    Exemplar effects in categorization and multiple-cue judgment.Peter Juslin, Henrik Olsson & Anna-Carin Olsson - 2003 - Journal of Experimental Psychology: General 132 (1):133.
  6.  27
    PROBabilities from EXemplars (PROBEX): a “lazy” algorithm for probabilistic inference from generic knowledge.Peter Juslin & Magnus Persson - 2002 - Cognitive Science 26 (5):563-607.
    PROBEX (PROBabilities from EXemplars), a model of probabilistic inference and probability judgment based on generic knowledge is presented. Its properties are that: (a) it provides an exemplar model satisfying bounded rationality; (b) it is a “lazy” algorithm that presumes no pre‐computed abstractions; (c) it implements a hybrid‐representation, similarity‐graded probability. We investigate the ecological rationality of PROBEX and find that it compares favorably with Take‐The‐Best and multiple regression (Gigerenzer, Todd, & the ABC Research Group, 1999). PROBEX is fitted to the point (...)
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  7.  24
    Measuring acuity of the approximate number system reliably and validly: the evaluation of an adaptive test procedure.Marcus Lindskog, Anders Winman, Peter Juslin & Leo Poom - 2013 - Frontiers in Psychology 4.
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  8.  22
    Information integration in multiple cue judgment: A division of labor hypothesis.Peter Juslin, Linnea Karlsson & Henrik Olsson - 2008 - Cognition 106 (1):259-298.
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  9.  8
    Thurstonian and Brunswikian origins of uncertainty in judgment: A sampling model of confidence in sensory discrimination.Peter Juslin & Henrik Olsson - 1997 - Psychological Review 104 (2):344-366.
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  10.  30
    Reducing cognitive biases in probabilistic reasoning by the use of logarithm formats.Peter Juslin, Håkan Nilsson, Anders Winman & Marcus Lindskog - 2011 - Cognition 120 (2):248-267.
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  11.  14
    Visual perception of dynamic properties: Cue heuristics versus direct-perceptual competence.Sverker Runeson, Peter Juslin & Henrik Olsson - 2000 - Psychological Review 107 (3):525-555.
  12.  13
    Additive integration of information in multiple cue judgment: A division of labor hypothesis.P. Juslin, L. Karlsson & H. Olsson - 2008 - Cognition 106 (1):259-298.
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  13.  14
    The association between higher education and approximate number system acuity.Marcus Lindskog, Anders Winman & Peter Juslin - 2014 - Frontiers in Psychology 5.
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  14.  51
    A dimensional approach to vocal expression of emotion.Petri Laukka, Patrik Juslin & Roberto Bresin - 2005 - Cognition and Emotion 19 (5):633-653.
    This study explored a dimensional approach to vocal expression of emotion. Actors vocally portrayed emotions (anger, disgust, fear, happiness, sadness) with weak and strong emotion intensity. Listeners (30 university students and 6 speech experts) rated each portrayal on four emotion dimensions (activation, valence, potency, emotion intensity). The portrayals were also acoustically analysed with respect to 20 vocal cues (e.g., speech rate, voice intensity, fundamental frequency, spectral energy distribution). The results showed that: (a) there were distinct patterns of ratings of activation, (...)
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  15.  13
    The naïve intuitive statistician: A naïve sampling model of intuitive confidence intervals.Peter Juslin, Anders Winman & Patrik Hansson - 2007 - Psychological Review 114 (3):678-703.
  16. Emotional responses to music.Patrik N. Juslin - 2008 - In Susan Hallam, Ian Cross & Michael Thaut (eds.), Oxford Handbook of Music Psychology. Oxford University Press.
     
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  17.  24
    Heuristics can produce surprisingly rational probability estimates: Comment on Costello and Watts (2014).Håkan Nilsson, Peter Juslin & Anders Winman - 2016 - Psychological Review 123 (1):103-111.
  18.  14
    On the generality and cognitive basis of base-rate neglect.Elina Stengård, Peter Juslin, Ulrike Hahn & Ronald van den Berg - 2022 - Cognition 226 (C):105160.
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  19.  22
    The role of ANS acuity and numeracy for the calibration and the coherence of subjective probability judgments.Anders Winman, Peter Juslin, Marcus Lindskog, HÃ¥kan Nilsson & Neda Kerimi - 2014 - Frontiers in Psychology 5.
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  20. How does music evoke emotions? Exploring the underlying mechanisms.Patrik N. Juslin, Simon Liljeström, Daniel Västfjäll & Lundqvist & Lars-Olov - 2011 - In Patrik N. Juslin & John Sloboda (eds.), Handbook of Music and Emotion: Theory, Research, Applications. Oxford University Press.
  21.  13
    Mind the gap: The mediating role of emotion mechanisms in social bonding through musical activities.Patrik N. Juslin - 2021 - Behavioral and Brain Sciences 44.
    I support the music and social bonding framework, but submit that the authors' predictions lack discriminative power, and that they do not engage sufficiently with the emotion mechanisms that mediate between musical features and social bonding. I elaborate on how various mechanisms may contribute, in unique ways, to social bonding at various levels to help account for the socio-emotional effects of music.
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  22.  18
    A Similarity-Based Process for Human Judgment in the Parietal Cortex.Linnea Karlsson Wirebring, Sara Stillesjö, Johan Eriksson, Peter Juslin & Lars Nyberg - 2018 - Frontiers in Human Neuroscience 12:408056.
    One important distinction in psychology is between inferences based on associative memory and inferences based on analysis and rules. Much previous empirical work conceive of associative and analytical processes as two exclusive ways of addressing a judgment task, where only one process is selected and engaged at a time, in an either-or fashion. However, related work indicate that the processes are better understood as being in interplay and simultaneously engaged. Based on computational modeling and brain imaging of spontaneously adopted judgment (...)
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  23.  16
    Capacity Limitations and the Detection of Correlations: Comment on Kareev (2000).Peter Juslin & Henrik Olsson - 2005 - Psychological Review 112 (1):256-267.
  24.  23
    Neurocognitive processes underlying heuristic and normative probability judgments.Linus Andersson, Johan Eriksson, Sara Stillesjö, Peter Juslin, Lars Nyberg & Linnea Karlsson Wirebring - 2020 - Cognition 196 (C):104153.
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  25.  18
    Is there something special with probabilities? – Insight vs. computational ability in multiple risk combination.Peter Juslin, Marcus Lindskog & Bastian Mayerhofer - 2015 - Cognition 136 (C):282-303.
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  26.  13
    Prospect evaluation as a function of numeracy and probability denominator.Philip Millroth & Peter Juslin - 2015 - Cognition 138 (C):1-9.
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  27.  17
    Can overconfidence be used as an indicator of reconstructive rather than retrieval processes?Peter Juslin, Anders Winman & Thomas Persson - 1995 - Cognition 54 (1):99-130.
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  28.  13
    Further perceptions of probability: In defence of associative models.Mattias Forsgren, Peter Juslin & Ronald van den Berg - 2023 - Psychological Review 130 (5):1383-1400.
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  29.  74
    Are Musical Emotions Invariant Across Cultures?Patrik N. Juslin - 2012 - Emotion Review 4 (3):283-284.
    Cross-cultural studies of music and emotion are needed to assess the generalizability of results and also have important implications for theory development. However, progress requires that the domain is broken down into smaller constituents based on key distinctions. For example, a multilevel theory of emotion-causation implies that the relative contributions made by culture and biology differ depending on the underlying mechanism involved, which precludes general conclusions. Such an account of emotions to music might be cross-culturally valid at the level of (...)
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  30.  6
    Is numerical information always beneficial? Verbal and numerical cue-integration in additive and non-additive tasks.August Collsiöö, Peter Juslin & Anders Winman - 2023 - Cognition 240 (C):105584.
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  31. Causal Models and Cognitive Representations in Multiple Cue Judgment.Tommy Enkvist & Peter Juslin - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society. pp. 977--982.
  32.  14
    The naïve intuitive statistician: organism—environment relations from yet another angle.Patrik Hansson, Peter Juslin & Anders Winman - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 237.
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  33.  50
    All emotions are not created equal: Reaching beyond the traditional disputes.Patrik N. Juslin & Daniel Västfjäll - 2008 - Behavioral and Brain Sciences 31 (5):600-621.
    Most commentators have agreed with our thesis, that musical emotions cannot be studied without regard to underlying mechanisms. However, some commentators have expressed concerns that are addressed in this response. Others have suggested directions for future research. Topics discussed in our response include terminology, elaborations on particular mechanisms, possible additional mechanisms, ways of distinguishing among emotions and mechanisms, the prevalence of musical emotions, the relationship between perceived and felt emotions, developmental issues, and evolutionary perspectives. We end our response with a (...)
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  34. Emotion in music performance.Patrik N. Juslin - 2008 - In Susan Hallam, Ian Cross & Michael Thaut (eds.), Oxford Handbook of Music Psychology. Oxford University Press.
     
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  35.  19
    MUSIC has been linked to the emotions at least since Ancient Greece, and emotions do figure prominently in people's reported motives for listening to music. People use.Patrik N. Juslin - 2008 - In Susan Hallam, Ian Cross & Michael Thaut (eds.), Oxford Handbook of Music Psychology. Oxford University Press.
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  36.  5
    Postscript.Peter Juslin & Henrik Olsson - 2005 - Psychological Review 112 (1):267-267.
  37.  21
    Resilience: Mediated by not one but many appraisal mechanisms.Patrik N. Juslin - 2015 - Behavioral and Brain Sciences 38.
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  38.  30
    Compound risk judgment in tasks with both idiosyncratic and systematic risk: The “Robust Beauty” of additive probability integration.Joakim Sundh & Peter Juslin - 2018 - Cognition 171 (C):25-41.
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