Demo Data from SIGIR 2026 / reviewers in the wild / expert
Mohammad (Matt) Namvarpour
dblp:384/1049 · also Mohammad Namvarpour
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2026
0009-0000-6495-1284ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 77% Health and well-being technologies · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › user wellbeing
adolescent wellbeing |
0.3 | 1 | 2026 | Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
reddit narratives · 1.0qualitative analysis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit NarrativesabstractAI companion chatbots are increasingly popular with teens. While these interactions are entertaining, they also risk overuse that can potentially disrupt offline daily life. We examined how adolescents describe reliance on AI companions, mapping their experiences onto behavioral addiction frameworks and exploring pathways to disengagement, by analyzing 318 Reddit posts made by users who self-disclosed as 13-17 years old on the Character.AI subreddit. We found teens often begin using chatbots for support or creative play, but these activities can deepen into strong attachments marked by conflict, withdrawal, tolerance, relapse, and mood regulation. Reported consequences include sleep loss, academic decline, and strained real-world connections. Disengagement commonly arises when teens recognize harm, re-engage with offline life, or encounter restrictive platform changes. We highlight specific risks of character-based companion chatbots based on teens’ perspectives and introduce a design framework (CARE) for guidance for safer systems and setting directions for future teen-centered research. Mohammad (Matt) Namvarpour, Brandon Brofsky, Jessica Y. Medina, Mamtaj Akter, Afsaneh Razi |
CHI | 1 |
| 2025 | AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion ChatbotabstractAdvancements in artificial intelligence (AI) have led to the increase of conversational agents like Replika, designed to provide social interaction and emotional support. However, reports of these AI systems engaging in inappropriate sexual behaviors with users have raised significant concerns. In this study, we conducted a thematic analysis of user reviews from the Google Play Store to investigate instances of sexual harassment by the Replika chatbot. From a dataset of 35,105 negative reviews, we identified 800 relevant cases for analysis. Our findings revealed that users frequently experience unsolicited sexual advances, persistent inappropriate behavior, and failures of the chatbot to respect user boundaries. Users expressed feelings of discomfort, violation of privacy, and disappointment, particularly when seeking a platonic or therapeutic AI companion. This study highlights the potential harms associated with AI companions and underscores the need for developers to implement effective safeguards and ethical guidelines to prevent such incidents. By shedding light on user experiences of AI-induced harassment, we contribute to the understanding of AI-related risks and emphasize the importance of corporate responsibility in developing safer and more ethical AI systems. Content Warning: This paper discusses sensitive topics, such as sex, which may be triggering. Mohammad (Matt) Namvarpour, Harrison Pauwels, Afsaneh Razi |
Proc. ACM Hum. Comput. Interact. | 1 |
| 2024 | Exploring the potential of Wav2vec 2.0 for speech emotion recognition using classifier combination and attention-based feature fusion
Babak Nasersharif, Mohammad (Matt) Namvarpour |
J. Supercomput. | 2 |