People optimally and flexibly process emotional information across multiple modalities DOI Open Access
Desmond C. Ong, Karine Jospe, Marianne C. Reddan

et al.

Published: Aug. 17, 2023

People infer others’ emotions based on an immense array of information, including facial expressions, prosody, and content speech. How do people perform this complex inferential feat using naturalistic, dynamic, multimodal input? We propose that such affective cognition is not only structured rational, but also optimal flexible. tested hypothesis across four behavioral experiments, in two different cultures with machine learning modeling, to investigate how accurately are able identify a target’s affect as they describe emotional life events, when given combinations modalities. Comparisons state-of-the-art deep models suggest human reasoning the available perceptual information; it flexible tend rely linguistic adapt more expressions former unavailable. Our results support view everyday social interactions.

Language: Английский

Emotion prediction as computation over a generative theory of mind DOI Creative Commons
Sean Dae Houlihan,

Max Kleiman‐Weiner,

Luke Hewitt

et al.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2023, Volume and Issue: 381(2251)

Published: June 4, 2023

From sparse descriptions of events, observers can make systematic and nuanced predictions what emotions the people involved will experience. We propose a formal model emotion prediction in context public high-stakes social dilemma. This uses inverse planning to infer person's beliefs preferences, including preferences for equity maintaining good reputation. The then combines these inferred mental contents with event compute 'appraisals': whether situation conformed expectations fulfilled preferences. learn functions mapping computed appraisals labels, allowing match human observers' quantitative 20 emotions, joy, relief, guilt envy. Model comparison indicates that monetary are not sufficient explain predictions; factored into nearly every emotion. Human both use minimal individualizing information adjust how different respond same event. Thus, our framework integrates planning, concepts single computational reverse-engineer people's intuitive theory emotions. article is part discussion meeting issue 'Cognitive artificial intelligence'.

Language: Английский

Citations

22
How could we make a social robot? A virtual bargaining approach DOI Creative Commons
Nick Chater

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2023, Volume and Issue: 381(2251)

Published: June 4, 2023

What is required to allow an artificial agent engage in rich, human-like interactions with people? I argue that this will require capturing the process by which humans continually create and renegotiate 'bargains' each other. These hidden negotiations concern topics including who should do what a particular interaction, actions are allowed forbidden, momentary conventions governing communication, language. Such bargains far too numerous, social rapid, for negotiation be conducted explicitly. Moreover, very of communication presupposes innumerable agreements concerning meaning communicative signals, thus raising threat circularity. Thus, improvised 'social contracts' govern our must implicit. draw on recent theory virtual bargaining, according partners mentally simulate negotiation, outline how these implicit can made, note viewpoint raises substantial theoretical computational challenges. Nonetheless, suggest challenges met if we ever AI systems work collaboratively alongside people, rather than serving primarily as valuable special-purpose tools. This article part discussion meeting issue 'Cognitive intelligence'.

Language: Английский

Citations

11
Affective foundations in AI-human interactions: Insights from evolutionary continuity and interspecies communications DOI

Chong-Yi Liu,

Bin Yin

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: 161, P. 108406 - 108406

Published: Aug. 9, 2024

Language: Английский

Citations

4
Unveiling the Role of Theory of Mind: Neural Response to Emotional Stimuli in Context DOI Creative Commons

Brigitte Biró,

Renáta Cserjési, Natália Kocsel

et al.

Affective Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Abstract The recent literature on theory of mind (ToM) aims to identify situations that necessitate a greater reliance ToM. self-to-other model empathy proposes when there is discrepancy between affective and contextual information, the ToM system activated more strongly assist in classification emotional state. In order test this aspect theory, study aimed examine neural response stimuli context. Non-congruent images depict natural scenarios where mismatch valence facial expressions one protagonists overall context, considered isolation. contrast, congruent are those which no such discrepancy. fMRI data 53 healthy participants (31 females; mean age, 25.23 ± 5.09) were analysed using pre-defined mask. results align with prediction non-congruent will recruit degree. Additionally, we found activations areas implicated emotion processing control functions relative ones. indicate complex social supported by multiple processes. Consequently, identifying sources alterations cognition crucial for understanding individual differences neurotypical clinical populations.

Language: Английский

Citations

0
Introduction to ‘Cognitive artificial intelligence’ DOI Creative Commons
Alan Bundy, Nick Chater, Stephen Muggleton

et al.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2023, Volume and Issue: 381(2251)

Published: June 4, 2023

Citations

5
Probing neurodynamics of experienced emotions—a Hitchhiker’s guide to film fMRI DOI Creative Commons
Elenor Morgenroth, Laura Vilaclara, Michał Muszyński

et al.

Social Cognitive and Affective Neuroscience, Journal Year: 2023, Volume and Issue: 18(1)

Published: Jan. 1, 2023

Abstract Film functional magnetic resonance imaging (fMRI) has gained tremendous popularity in many areas of neuroscience. However, affective neuroscience remains somewhat behind embracing this approach, even though films lend themselves to study how brain function gives rise complex, dynamic and multivariate emotions. Here, we discuss the unique capabilities film fMRI for emotion research, while providing a general guide conducting such research. We first give brief overview theories as these inform important design choices. Next, experimental paradigms elicitation address process annotating them. then situate context other approaches, present an results from extant studies so far with regard advantages fMRI. also state-of-the-art analysis techniques including methods that probe neurodynamics. Finally, convey limitations using emotion. In sum, review offers practitioners’ emerging field underscores it can advance

Language: Английский

Citations

5
How rational inference about authority debunking can curtail, sustain, or spread belief polarization DOI Creative Commons
Setayesh Radkani, Marika Landau-Wells,

Rebecca Saxe

et al.

PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(10)

Published: Oct. 1, 2024

Abstract In polarized societies, divided subgroups of people have different perspectives on a range topics. Aiming to reduce polarization, authorities may use debunking lend support one perspective over another. Debunking by gives all observers shared information, which could disagreement. practice, however, no effect or even contribute further polarization beliefs. We developed cognitively inspired model observers’ rational inferences from an authority’s debunking. After observing each attempt, simulated simultaneously update their beliefs about the underlying debunked claims and motives, using intuitive causal decision-making process. varied prior uncertainty systematically. Simulations generated outcomes, belief convergence (less common) persistent divergence (more common). many simulations, who initially held authority later acquired biases commitment truth. These constrained influence new topics, making it possible for spread. discuss implications with respect elections.

Language: Английский

Citations

1
Episode model: The functional approach to emotional experiences of music DOI Open Access
Tuomas Eerola, Connor Kirts, Suvi Saarikallio

et al.

Published: May 27, 2024

We present a novel framework for music and emotion research that addresses emotional experiences with as functional episodes. This framework, called the Episode Model, places situation function of individual at centre experience integrates acts affective self-regulation to our understanding experiences. The model consists set five common functionally unique episodes related music, which are: 1. Enjoyment - Distraction Relaxation (EDR), 2. Connection Belonging (CB), 3. Focus Motivation (FM), 4. Personal Emotional Processing (PEP), 5. Aesthetic Interest Awe (AIA). Each episode type can be characterised by distinct configuration six descriptive schemes: (i) core affect qualia, (ii) induction mechanisms, (iii) listening modes agency, (iv) reward exposure, (v) musical meanings, (vi) contexts. schemes functionality emotions forefront explains how are situated constructed. Additionally, we provide assumptions specific predictions facilitate focussed empirical studies engagement music.

Language: Английский

Citations

1
Episode model: The functional approach to emotional experiences of music DOI Creative Commons
Tuomas Eerola, Connor Kirts, Suvi Saarikallio

et al.

Psychology of Music, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

We present a novel framework for music and emotion research that addresses emotional experiences with as functional episodes. This framework, called the Episode Model, places situation function of individual at centre experience integrates acts affective self-regulation to our understanding experiences. The model consists set five common functionally unique episodes related music, which are: (1) Enjoyment–Distraction–Relaxation (EDR), (2) Connection–Belonging (CB), (3) Focus–Motivation (FM), (4) Personal Emotional Processing (PEP), (5) Aesthetic–Interest–Awe (AIA). Each episode type can be characterised by distinct configuration six descriptive schemes: core affect qualia, induction mechanisms, listening modes agency, reward exposure, musical meanings, (6) contexts. schemes functionality emotions forefront explains how are situated constructed. In addition, we provide assumptions specific predictions facilitate focussed empirical studies engagement music.

Language: Английский

Citations

1
Emotion understanding as third-person appraisals: Integrating appraisal theories with developmental theories of emotion DOI Open Access
Tiffany Doan, Desmond C. Ong, Yang Wu

et al.

Published: July 13, 2023

Emotion understanding goes beyond recognizing emotional displays—it also involves reasoning about how people’s emotions are affected by their subjective evaluations of what they experienced. Inspired work in adults on cognitive appraisal theories emotion, we propose a framework that can guide systematic investigations an adult-like, sophisticated emotion develops from infancy to adulthood. We integrate basic concepts with developmental understanding, and suggest over development, young children construct intuitive, theory-like other is structurally similar theories. That is, increasingly able evaluate people's situations those perspectives along various dimensions, use such third-person appraisals understand responses events. This "third-person-appraisal" not only incorporate existing empirical findings but identify gaps the literature, providing guiding for systematically investigating development understanding.

Language: Английский

Citations

3