Evaluating large language models in generating synthetic hci research data: a case study
P Hämäläinen, M Tavast, A Kunnari - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Collecting data is one of the bottlenecks of Human-Computer Interaction (HCI) research.
Motivated by this, we explore the potential of large language models (LLMs) in generating …
Motivated by this, we explore the potential of large language models (LLMs) in generating …
Potential of eye-tracking for interactive geovisual exploration aided by machine learning
M Keskin, P Kettunen - International Journal of Cartography, 2023 - Taylor & Francis
This review article collects knowledge on the use of eye-tracking and machine learning
methods for application in automated and interactive geovisualization systems. Our focus is …
methods for application in automated and interactive geovisualization systems. Our focus is …
Computational rationality as a theory of interaction
How do people interact with computers? This fundamental question was asked by Card,
Moran, and Newell in 1983 with a proposition to frame it as a question about human …
Moran, and Newell in 1983 with a proposition to frame it as a question about human …
Towards machines that understand people
The ability to estimate the state of a human partner is an insufficient basis on which to build
cooperative agents. Also needed is an ability to predict how people adapt their behavior in …
cooperative agents. Also needed is an ability to predict how people adapt their behavior in …
Amortized inference with user simulations
There have been significant advances in simulation models predicting human behavior
across various interactive tasks. One issue remains, however: identifying the parameter …
across various interactive tasks. One issue remains, however: identifying the parameter …
Modeling touch-based menu selection performance of blind users via reinforcement learning
Although menu selection has been extensively studied in HCI, most existing studies have
focused on sighted users, leaving blind users' menu selection under-studied. In this paper …
focused on sighted users, leaving blind users' menu selection under-studied. In this paper …
Breathing life into biomechanical user models
Forward biomechanical simulation in HCI holds great promise as a tool for evaluation,
design, and engineering of user interfaces. Although reinforcement learning (RL) has been …
design, and engineering of user interfaces. Although reinforcement learning (RL) has been …
Evaluating human-AI hybrid conversational systems with chatbot message suggestions
AI chatbots can offer suggestions to help humans answer questions by reducing text entry
effort and providing relevant knowledge for unfamiliar questions. We study whether chatbot …
effort and providing relevant knowledge for unfamiliar questions. We study whether chatbot …
Language models can generate human-like self-reports of emotion
M Tavast, A Kunnari, P Hämäläinen - Companion Proceedings of the …, 2022 - dl.acm.org
Computational interaction and user modeling is presently limited in the domain of emotions.
We investigate a potential new approach to computational modeling of emotional response …
We investigate a potential new approach to computational modeling of emotional response …
Typing Behavior is About More than Speed: Users' Strategies for Choosing Word Suggestions Despite Slower Typing Rates
Mobile word suggestions can slow down typing, yet are still widely used. To investigate the
apparent benefits beyond speed, we analyzed typing behavior of 15,162 users of mobile …
apparent benefits beyond speed, we analyzed typing behavior of 15,162 users of mobile …