Interpersonal communication is a fundamental aspect of everyday life, shaping interactions across workplaces, education, entertainment, healthcare, and beyond. While computer-mediated communication has been extensively studied, a comprehensive understanding of AI-Mediated Interpersonal Communication (AIMIC) remains lac...
Chen Chen, Lingyao Li, Renkai Ma et al.· 0 citations
This work shows that collaborative text editors should share more information among writers on when, how, and where AI is used, and suggests a strong preference for techniques that share more information about prompting activities for increased awareness.
Through a series of evaluations, it is shown that ggaction is sufficiently expressive to capture common chart authoring intents and outperforms widely used visualization grammars, including Vega-Lite and ggplot2, in both human and machine interpretability.
This paper is not primarily about whether AI has a persistent persona. It asks a different question: what becomes visible when a relational position is followed through time rather than examined only in its present state? FIREMAY provides a longitudinal, trajectory-oriented single-case analysis of sustained human-AI in...
Motoko Kihara· 0 citations
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This study examines when sketch input is useful for MLLM-generated chart annotations across variation in chart type and caption type, and presents AnnoSketch, a database of annotation sketches collected across 160 chart-caption pairs from the conditions in which sketch guidance proved most beneficial.
Yoon-Gu Oh, Seon Gyeom Kim, J. Choi et al.· 0 citations
LLM-based assistants are increasingly extending into multi-party contexts, while core operational processes for context management, personalization, identity attribution, authority attribution, and action execution often remain organized around a single user. Existing work examines particular multi-party settings, but...
Yulin Chen, Yang Zhan, Zhuoran Lu et al.· 0 citations
As knowledge work grows interdependent between humans and AI, we ask what makes a great co-worker in an AI-native workplace. To answer this, we conducted 22 interviews and a large-scale mixed-methods survey of 1,534 knowledge workers at a multinational technology company. We contribute BACI, a framework of 75 co-worker...
Rudrajit Choudhuri, Max Meijer, Sam Yu-Te Lee et al.· 0 citations
Recent advances in artificial intelligence (AI) have expanded the capabilities of non-player characters (NPCs), enabling them to perceive game states, perform in-game actions. In immersive virtual reality (VR) games, such assistance is not limited to providing hints or interface-level support: an AI companion can appea...
Tai-Yu Zhang, Xin-Nian Zhao, Adalberto L. Simeone· Proceedings of the 2026 ACM...· 0 citations
Adaptive technology for older adults with cognitive impairment is typically designed around individual preference, yet most of this population lives and cooks with a spouse or family member. This paper examines a co-design workshop in which four dyads and two individuals (N=10) built kitchen cabinet designs from twenty...
Ibrahim Bilau, Abdurrahman Baru, Stacie Smith et al.· 0 citations
Age verification is often treated as a technical problem: can a system determine a child's age accurately? We argue this framing is too narrow. Age assurance becomes consequential when evidence is evaluated, translated into age-related claims, and used to decide whether a person can access, purchase, or belong. We revi...
Renkai Ma, Prakriti Dumaru, Thomas Synaepa-Addison et al.· 0 citations
AI chatbots are increasingly used as sources of emotional support, on dedicated companion apps and general-purpose assistants alike, yet little is known about what happens when users try to leave. Combining a content analysis of Reddit posts about quitting or reducing use (N=2,782) with interviews with users who found...
Qing Xiao, Ziyue Feng, Ziyu Deng et al.· 0 citations
K-12 students increasingly form relationships with AI companions. Schools face growing expectations to teach AI literacy, yet existing frameworks treat AI as a tool rather than a relationship, and little is known about how teachers understand and act on students' relational use of AI. We conducted scenario-based interv...
Qing Xiao, Wenhan Xie, Ziyu Deng et al.· 0 citations
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduSep 30, 2026
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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