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Author: 13482

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Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Lens

AI-powered companion chatbots (AICCs) such as Replika are increasingly popular, offering empathetic interactions, yet their psychosocial impacts remain unclear. We examined how engaging with AICCs shaped wellbeing and how users perceived these experiences. First, we conducted a large-scale quasi-experimental study of…

Yunhao Yuan et al.Aalto University

Designing Computational Tools for Exploring Causal Relationships in Qualitative Data

Exploring causal relationships for qualitative data analysis in HCI and social science research enables the understanding of user needs and theory building. However, current computational tools primarily characterize and categorize qualitative data; the few systems that analyze causal relationships either inadequately…

Han Meng et al.National University of Singapore

Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots

Chatbots are increasingly integrated into people’s lives and are widely used to help people. Recently, there has also been growing interest in the reverse direction—humans help chatbots—due to a wide range of benefits including better chatbot performance, human well-being, and collaborative outcomes. However, little r…

Jingshu Li et al.National University of Singapore

Communicating With/Through AI

The Benefits of Prosociality towards AI Agents: Examining the Effects of Helping AI Agents on Human Well-Being

Prosocial behaviors, such as helping others, are well-known to enhance human well-being. While there is a growing trend of humans helping AI agents, it remains unclear whether the well-being benefits of helping others extend to interactions with non-human entities. To address this, we conducted an experiment (N = 295)…

Zicheng Zhu et al.National University of Singapore

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The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships

As conversational AI systems increasingly engage with people socially and emotionally, they bring notable risks and harms, particularly in human-AI relationships. However, these harms remain underexplored due to the private and sensitive nature of such interactions. This study investigates the harmful behaviors and ro…

Renwen Zhang et al.National University of Singapore

Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs

Mental-illness stigma is a persistent social problem, hampering both treatment-seeking and recovery. Accordingly, there is a pressing need to understand it more clearly, but analyzing the relevant data is highly labor-intensive. Therefore, we designed a chatbot to engage participants in conversations; coded those conv…

Han Meng et al.National University of Singapore

Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis

Conversational Agents (CAs) have increasingly been integrated into everyday life, sparking significant discussions on social media. While previous research has examined public perceptions of AI in general, there is a notable lack in research focused on CAs, with fewer investigations into cultural variations in CA perc…

Zihan Liu et al.National University of Singapore

Designing for Emotional Well-being: Integrating Persuasion and Customization into Mental Health Technologies

A growing body of work has emphasized the need for customizability and flexibility in mobile health technologies to increase user autonomy. However, customization may be burdensome for people with motivational and cognitive challenges, such as those with mental illnesses, and the optimal level and type of customizabil…

Renwen Zhang et al.National University of Singapore

Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences

Understanding when, how, and why people share personal information on social media has received much scholarly attention. Scholars have identified a variety of factors that affect disclosure behavior, but as platforms offer a wider range of affordances that enable more diverse user behaviors and nuanced audience segme…

Renwen Zhang et al.National University of Singapore

Designing Mental Health Technologies that Support the Social Ecosystem of College Students

The last decade has seen increased reports of mental health problems among college students, with college counseling centers struggling to keep up with the demand for services. Digital mental health tools offer a potential solution to expand the reach of mental health services for college students. In this paper, we p…

Emily G. Lattie et al.Northwestern University

"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identif…

Rachel Kornfield et al.Northwestern University

Paper Title	Authors	Research Topics
Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Lens AI-powered companion chatbots (AICCs) such as Replika are increasingly popular, offering empathetic interactions, yet their psychosocial impacts remain unclear. We examined how engaging with AICCs shaped wellbeing and how users perceived these experiences. First, we conducted a large-scale quasi-experimental study of…	YY Yunhao Yuan et al.Aalto University
emoji_events Designing Computational Tools for Exploring Causal Relationships in Qualitative Data Exploring causal relationships for qualitative data analysis in HCI and social science research enables the understanding of user needs and theory building. However, current computational tools primarily characterize and categorize qualitative data; the few systems that analyze causal relationships either inadequately…	HM Han Meng et al.National University of Singapore
Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots Chatbots are increasingly integrated into people’s lives and are widely used to help people. Recently, there has also been growing interest in the reverse direction—humans help chatbots—due to a wide range of benefits including better chatbot performance, human well-being, and collaborative outcomes. However, little r…	JL Jingshu Li et al.National University of Singapore	Communicating With/Through AI
emoji_events The Benefits of Prosociality towards AI Agents: Examining the Effects of Helping AI Agents on Human Well-Being Prosocial behaviors, such as helping others, are well-known to enhance human well-being. While there is a growing trend of humans helping AI agents, it remains unclear whether the well-being benefits of helping others extend to interactions with non-human entities. To address this, we conducted an experiment (N = 295)…	ZZ Zicheng Zhu et al.National University of Singapore
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships As conversational AI systems increasingly engage with people socially and emotionally, they bring notable risks and harms, particularly in human-AI relationships. However, these harms remain underexplored due to the private and sensitive nature of such interactions. This study investigates the harmful behaviors and ro…	RZ Renwen Zhang et al.National University of Singapore
Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs Mental-illness stigma is a persistent social problem, hampering both treatment-seeking and recovery. Accordingly, there is a pressing need to understand it more clearly, but analyzing the relevant data is highly labor-intensive. Therefore, we designed a chatbot to engage participants in conversations; coded those conv…	HM Han Meng et al.National University of Singapore
Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis Conversational Agents (CAs) have increasingly been integrated into everyday life, sparking significant discussions on social media. While previous research has examined public perceptions of AI in general, there is a notable lack in research focused on CAs, with fewer investigations into cultural variations in CA perc…	ZL Zihan Liu et al.National University of Singapore
Designing for Emotional Well-being: Integrating Persuasion and Customization into Mental Health Technologies A growing body of work has emphasized the need for customizability and flexibility in mobile health technologies to increase user autonomy. However, customization may be burdensome for people with motivational and cognitive challenges, such as those with mental illnesses, and the optimal level and type of customizabil…	RZ Renwen Zhang et al.National University of Singapore
Distress Disclosure across Social Media Platforms during the COVID-19 Pandemic: Untangling the Effects of Platforms, Affordances, and Audiences Understanding when, how, and why people share personal information on social media has received much scholarly attention. Scholars have identified a variety of factors that affect disclosure behavior, but as platforms offer a wider range of affordances that enable more diverse user behaviors and nuanced audience segme…	RZ Renwen Zhang et al.National University of Singapore
Designing Mental Health Technologies that Support the Social Ecosystem of College Students The last decade has seen increased reports of mental health problems among college students, with college counseling centers struggling to keep up with the demand for services. Digital mental health tools offer a potential solution to expand the reach of mental health services for college students. In this paper, we p…	EL Emily G. Lattie et al.Northwestern University
"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identif…	RK Rachel Kornfield et al.Northwestern University