Jesse Hoey
Biographic Data
| ID | 1698989 |
|---|---|
| NAME | Jesse Hoey |
| GIVEN NAMES | Jesse |
| FAMILY NAME | Hoey |
| SIGNATURE | HOEY J |
| AFFILIATIONS | University of Waterloo |
| ORCID | 0000-0001-5340-2204 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 85 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
The Role of Social Norms in Human–Robot Interaction: A Systematic Review
As robots integrate more into daily life, socially aware robots with specific social attributes and behaviors are necessary. This review aims to explore how social norms in Human–Robot Interaction (HRI) impact robot design and human perception. We searched for relevant articles in the following databases: ACM Digital Library, IEEE Digital Library, Scopus, Springer Link, and PsycINFO. After applying inclusion and exclusion criteria, a final set of…
Examining the Impact of Robot Norm Violations on Participants’ Trust, Discomfort, Behaviour and Physiological Responses—A Mixed Method Approach
As robots increasingly permeate diverse domains like healthcare, education, service industries and homes, accurately understanding humans’ responses to and behaviour towards robots is crucial. While many human-robot interaction (HRI) studies focus on either quantitative or qualitative approaches, we advocate a mixed-method approach. This study investigated robot norm violations by implementing a scenario where a mobile manipulator robot and a hum…
Affective connotations according to LLMs: Implications for meaning measurement and cultural bias
The affective connotations of words are central to meaning and important predictors of many social processes. As such, understanding the degree to which commercially-available generative language models (LLMs) replicate human judgements of affective connotations may help better understand human-model interactions. LLMs may also serve as useful tools for researchers seeking affective meaning estimates. We test the ability of three LLMs - GPT-4o, M…
User Perception of Smart Home Surveillance: An Integrative Review
Smart Home Technologies (SHTs) have recently become popular for a variety of purposes, including healthcare, entertainment, and convenience, among others. While SHT manufacturers promise to provide a range of services relating to home security, health and wellness, automated domestic tasks, entertainment, and beyond, user perceptions vary widely in terms of benefits and drawbacks. Moreover, surveillance studies researchers have warned against nor…
How Cultural Meanings of Occupations in the U.S. Changed During the Covid-19 Pandemic
Social research highlights the stability of cultural beliefs, broadly arguing that population-level changes are uncommon and mostly explained by cohort replacement rather than individual-level change. We find evidence suggesting that cultural change may also occur rapidly in response to an economically and socially transformative period. Using data collected just before and after the outbreak of Covid-19 in the U.S., we explore whether cultural b…
Disruption of Social Orders in Societal Transitions as Affective Control of Uncertainty
Bayesian affect control theory is a model of affect-driven social interaction under conditions of uncertainty. In this paper, we investigate how the operationalization of uncertainty in the model can be related to the disruption of social orders-societal pressures to adapt to ongoing environmental and technological change. First, we study the theoretical tradeoffs between three kinds of uncertainty as groups navigate external problems: validity (…
Operationalizing the Relation Between Affect and Cognition With the Somatic Transform
This article introduces the somatic transform that operationalizes the relation between affect and cognition at the psychological level of analysis by capitalizing on the relation between the cognitive-denotative and affective-connotative meaning of concepts as measured with semantic differential rating scales. Following discussion of levels of analysis, the importance of language at the psychological level, and two principles (inextricability an…
Social Robots for the Care of Persons with Dementia: A Systematic Review
Intelligent assistive robots can enhance the quality of life of people with dementia and their caregivers. They can increase the independence of older adults, reduce tensions between a person with dementia and their caregiver, and increase social engagement. This article provides a review of assistive robots designed for and evaluated by persons with dementia. Assistive robots that only increased mobility or brain-computer interfaces were exclude…
The Affective Self: Perseverance of Self-Sentiments in Late-Life Dementia
The self has long been construed as a rational, cognitive construct; the cognitive decline of dementia has therefore been largely viewed as the loss of self. Through qualitative interviews, we find that persons with dementia strive to maintain a coherent self despite their increasing disability. Using the theories of affect control theory (ACT) and ACT-Self, we illustrate their shift from using denotative (cognitive) meanings to reliance on conno…
Artificial Intelligence and Social Simulation: Studying Group Dynamics on a Massive Scale
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large n…
The Structure of Deference: Modeling Occupational Status Using Affect Control Theory
Current theories of occupational status conceptualize it as either a function of cultural esteem or the symbolic aspect of the class structure. Based on Weber's definition of status as rooted in either cultural or class conditions, we argue that a consistent operationalization of occupational status must account for both of these dimensions. Using quantitative measures of cultural sentiments for occupational identities, we use affect control theo…
Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory
Drawing on Bayesian probability theory, we propose a generalization of affect control theory (BayesACT) that better accounts for the dynamic fluctuation of identity meanings for self and other during interactions, elucidates how people infer and adjust meanings through social experience, and shows how stable patterns of interaction can emerge from individuals' uncertain perceptions of identities. Using simulations, we illustrate how this generali…
The use of an intelligent prompting system for people with dementia
article Share on The use of an intelligent prompting system for people with dementia Authors: Alex Mihailidis University of Toronto, [email protected] University of Toronto, [email protected]View Profile , Jennifer Boger University of Toronto, [email protected] University of Toronto, [email protected]View Profile , Marcelle Canido University of Toronto, [email protected] University of Toronto, [email protected]View Profile , Jesse Hoey University…
The Structure of Deference: Modeling Occupational Status Using Affect Control Theory
Current theories of occupational status conceptualize it as either a function of cultural esteem or the symbolic aspect of the class structure. Based on Weber's definition of status as rooted in either cultural or class conditions, we argue that a consistent operationalization of occupational status must account for both of these dimensions. Using quantitative measures of cultural sentiments for occupational identities, we use affect control theo…
Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory
Drawing on Bayesian probability theory, we propose a generalization of affect control theory (BayesACT) that better accounts for the dynamic fluctuation of identity meanings for self and other during interactions, elucidates how people infer and adjust meanings through social experience, and shows how stable patterns of interaction can emerge from individuals' uncertain perceptions of identities. Using simulations, we illustrate how this generali…
Social Robots for the Care of Persons with Dementia: A Systematic Review
Intelligent assistive robots can enhance the quality of life of people with dementia and their caregivers. They can increase the independence of older adults, reduce tensions between a person with dementia and their caregiver, and increase social engagement. This article provides a review of assistive robots designed for and evaluated by persons with dementia. Assistive robots that only increased mobility or brain-computer interfaces were exclude…
How Cultural Meanings of Occupations in the U.S. Changed During the Covid-19 Pandemic
Social research highlights the stability of cultural beliefs, broadly arguing that population-level changes are uncommon and mostly explained by cohort replacement rather than individual-level change. We find evidence suggesting that cultural change may also occur rapidly in response to an economically and socially transformative period. Using data collected just before and after the outbreak of Covid-19 in the U.S., we explore whether cultural b…
Artificial Intelligence and Social Simulation: Studying Group Dynamics on a Massive Scale
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large n…
The Affective Self: Perseverance of Self-Sentiments in Late-Life Dementia
The self has long been construed as a rational, cognitive construct; the cognitive decline of dementia has therefore been largely viewed as the loss of self. Through qualitative interviews, we find that persons with dementia strive to maintain a coherent self despite their increasing disability. Using the theories of affect control theory (ACT) and ACT-Self, we illustrate their shift from using denotative (cognitive) meanings to reliance on conno…
The use of an intelligent prompting system for people with dementia
article Share on The use of an intelligent prompting system for people with dementia Authors: Alex Mihailidis University of Toronto, [email protected] University of Toronto, [email protected]View Profile , Jennifer Boger University of Toronto, [email protected] University of Toronto, [email protected]View Profile , Marcelle Canido University of Toronto, [email protected] University of Toronto, [email protected]View Profile , Jesse Hoey University…
Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory
Drawing on Bayesian probability theory, we propose a generalization of affect control theory (BayesACT) that better accounts for the dynamic fluctuation of identity meanings for self and other during interactions, elucidates how people infer and adjust meanings through social experience, and shows how stable patterns of interaction can emerge from individuals' uncertain perceptions of identities. Using simulations, we illustrate how this generali…
Artificial Intelligence and Social Simulation: Studying Group Dynamics on a Massive Scale
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large n…
The Structure of Deference: Modeling Occupational Status Using Affect Control Theory
Current theories of occupational status conceptualize it as either a function of cultural esteem or the symbolic aspect of the class structure. Based on Weber's definition of status as rooted in either cultural or class conditions, we argue that a consistent operationalization of occupational status must account for both of these dimensions. Using quantitative measures of cultural sentiments for occupational identities, we use affect control theo…
The Affective Self: Perseverance of Self-Sentiments in Late-Life Dementia
The self has long been construed as a rational, cognitive construct; the cognitive decline of dementia has therefore been largely viewed as the loss of self. Through qualitative interviews, we find that persons with dementia strive to maintain a coherent self despite their increasing disability. Using the theories of affect control theory (ACT) and ACT-Self, we illustrate their shift from using denotative (cognitive) meanings to reliance on conno…
Operationalizing the Relation Between Affect and Cognition With the Somatic Transform
This article introduces the somatic transform that operationalizes the relation between affect and cognition at the psychological level of analysis by capitalizing on the relation between the cognitive-denotative and affective-connotative meaning of concepts as measured with semantic differential rating scales. Following discussion of levels of analysis, the importance of language at the psychological level, and two principles (inextricability an…
Social Robots for the Care of Persons with Dementia: A Systematic Review
Intelligent assistive robots can enhance the quality of life of people with dementia and their caregivers. They can increase the independence of older adults, reduce tensions between a person with dementia and their caregiver, and increase social engagement. This article provides a review of assistive robots designed for and evaluated by persons with dementia. Assistive robots that only increased mobility or brain-computer interfaces were exclude…
How Cultural Meanings of Occupations in the U.S. Changed During the Covid-19 Pandemic
Social research highlights the stability of cultural beliefs, broadly arguing that population-level changes are uncommon and mostly explained by cohort replacement rather than individual-level change. We find evidence suggesting that cultural change may also occur rapidly in response to an economically and socially transformative period. Using data collected just before and after the outbreak of Covid-19 in the U.S., we explore whether cultural b…
Disruption of Social Orders in Societal Transitions as Affective Control of Uncertainty
Bayesian affect control theory is a model of affect-driven social interaction under conditions of uncertainty. In this paper, we investigate how the operationalization of uncertainty in the model can be related to the disruption of social orders-societal pressures to adapt to ongoing environmental and technological change. First, we study the theoretical tradeoffs between three kinds of uncertainty as groups navigate external problems: validity (…
User Perception of Smart Home Surveillance: An Integrative Review
Smart Home Technologies (SHTs) have recently become popular for a variety of purposes, including healthcare, entertainment, and convenience, among others. While SHT manufacturers promise to provide a range of services relating to home security, health and wellness, automated domestic tasks, entertainment, and beyond, user perceptions vary widely in terms of benefits and drawbacks. Moreover, surveillance studies researchers have warned against nor…
The Role of Social Norms in Human–Robot Interaction: A Systematic Review
As robots integrate more into daily life, socially aware robots with specific social attributes and behaviors are necessary. This review aims to explore how social norms in Human–Robot Interaction (HRI) impact robot design and human perception. We searched for relevant articles in the following databases: ACM Digital Library, IEEE Digital Library, Scopus, Springer Link, and PsycINFO. After applying inclusion and exclusion criteria, a final set of…
Examining the Impact of Robot Norm Violations on Participants’ Trust, Discomfort, Behaviour and Physiological Responses—A Mixed Method Approach
As robots increasingly permeate diverse domains like healthcare, education, service industries and homes, accurately understanding humans’ responses to and behaviour towards robots is crucial. While many human-robot interaction (HRI) studies focus on either quantitative or qualitative approaches, we advocate a mixed-method approach. This study investigated robot norm violations by implementing a scenario where a mobile manipulator robot and a hum…
Affective connotations according to LLMs: Implications for meaning measurement and cultural bias
The affective connotations of words are central to meaning and important predictors of many social processes. As such, understanding the degree to which commercially-available generative language models (LLMs) replicate human judgements of affective connotations may help better understand human-model interactions. LLMs may also serve as useful tools for researchers seeking affective meaning estimates. We test the ability of three LLMs - GPT-4o, M…
Psychology (10 works) · Computer Science (8 works) · Social Psychology (8 works) · Cognitive psychology (4 works) · Epistemology (4 works) · Social and Cultural Dynamics (4 works) · Social Power and Status Dynamics (4 works) · Social Psychology (4 works) · Sociology (4 works) · Artificial Intelligence (3 works)