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We present MoodSwipe, a soft keyboard that suggests text messages given the user-specified emotions utilizing the real dialog data. The aim of MoodSwipe is to create a convenient user interface to enjoy the technology of emotion…

Computation and Language · Computer Science 2017-07-25 Chieh-Yang Huang , Tristan Labetoulle , Ting-Hao Kenneth Huang , Yi-Pei Chen , Hung-Chen Chen , Vallari Srivastava , Lun-Wei Ku

Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on different types of human generated/exchanged contents (such…

This study introduces an ability-based method for personalized keyboard generation, wherein an individual's own movement and human-computer interaction data are used to automatically compute a personalized virtual keyboard layout. Our…

Assistive technologies have been developed to enhance blind users' typing performance, focusing on speed, accuracy, and effort reduction. One such technology is word prediction software, designed to minimize keystrokes required for text…

Human-Computer Interaction · Computer Science 2024-12-02 Mrim M. Alnfiai , Muhammad Ashad Kabir

User-machine interaction is crucial for information retrieval, especially for spoken content retrieval, because spoken content is difficult to browse, and speech recognition has a high degree of uncertainty. In interactive retrieval, the…

Computation and Language · Computer Science 2018-04-03 Pei-Hung Chung , Kuan Tung , Ching-Lun Tai , Hung-Yi Lee

This paper presents our experiences in designing, implementing, and piloting an intelligent vocabulary learning tutor. The design builds on several intelligent tutoring design concepts, including graph-based knowledge representation,…

Artificial Intelligence · Computer Science 2018-07-10 Ravi Kokku , Aditya Vempaty , Tamer Abuelsaad , Prasenjit Dey , Tammy Humphrey , Akimi Gibson , Jennifer Kotler

In today's digital society, personalization has become a crucial aspect of software applications, significantly impacting user experience and engagement. A new wave of intelligent user interfaces, such as AI-based conversational agents, has…

Software Engineering · Computer Science 2025-06-02 Aaron Conrardy , Alfredo Capozucca , Jordi Cabot

We study adaptive querying for learning user-dependent quantities of interest, such as responses to held-out items and psychometric indicators, within tight question budgets. Classical Bayesian design and computerized adaptive testing…

Machine Learning · Statistics 2026-05-04 Kaizheng Wang , Yuhang Wu , Assaf Zeevi

Understanding the nuances of a user's extensive interaction history is key to building accurate and personalized natural language systems that can adapt to evolving user preferences. To address this, we introduce PERSOMA, Personalized Soft…

Computation and Language · Computer Science 2024-08-05 Liam Hebert , Krishna Sayana , Ambarish Jash , Alexandros Karatzoglou , Sukhdeep Sodhi , Sumanth Doddapaneni , Yanli Cai , Dima Kuzmin

An Intelligent Personal Agent (IPA) is an agent that has the purpose of helping the user to gain information through reliable resources with the help of knowledge navigation techniques and saving time to search the best content. The agent…

Artificial Intelligence · Computer Science 2017-05-01 Amit Kumar , Rahul Dutta , Harbhajan Rai

The viability of an Augmentative and Alternative Communication device often depends on its ability to adapt to an individual user's unique abilities. Though human input can be noisy, there is often structure to our errors. For example,…

Human-Computer Interaction · Computer Science 2019-10-04 Matt Higger , Fernando Quivira , Deniz Erdogmus

Adaptive learning aims to provide customized educational activities (e.g., exercises) to address individual learning needs. However, manual construction and delivery of such activities is a laborious process. Thus, in this paper, we study a…

Computation and Language · Computer Science 2023-06-06 Peng Cui , Mrinmaya Sachan

When we interact with small screen devices, sometimes we make errors, due to our abilities/disabilities, contextual factors that distract our attention or problems related to the interface. Recovering from these errors may be time consuming…

Human-Computer Interaction · Computer Science 2019-04-15 Elgin Akpınar , Yeliz Yeşilada , Selim Temizer

Intelligent Process Automation (IPA) is an emerging technology with a primary goal to assist the knowledge worker by taking care of repetitive, routine and low-cognitive tasks. Conversational agents that can interact with users in a natural…

Computation and Language · Computer Science 2020-05-22 Alena Moiseeva , Dietrich Trautmann , Michael Heimann , Hinrich Schütze

Frustrating text entry interface has been a major obstacle in participating in social activities in augmented reality (AR). Popular options, such as mid-air keyboard interface, wireless keyboards or voice input, either suffer from poor…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Xingyu Fu , Mingze Xi

Displaying a written transcript of what a human said (i.e. producing an "automatic speech recognition transcript") is a common feature for smartphone vocal assistants: the utterance produced by a human speaker (e.g. a question) is displayed…

Human-Computer Interaction · Computer Science 2025-04-08 Damien Rudaz , Christian Licoppe

Our research is a step toward ascertaining the need for personalization, in XAI, and we do so in the context of investigating the value of explanations of AI-driven hints and feedback are useful in Intelligent Tutoring Systems (ITS). We…

Artificial Intelligence · Computer Science 2020-08-14 Cristina Conati , Oswald Barral , Vanessa Putnam , Lea Rieger

Mobile devices, especially smartphones, can support rich functions and have developed into indispensable tools in daily life. With the rise of generative AI services, smartphones can potentially transform into personalized assistants,…

Machine Learning · Computer Science 2024-08-20 Jiahui Gong , Jingtao Ding , Fanjin Meng , Guilong Chen , Hong Chen , Shen Zhao , Haisheng Lu , Yong Li

The rapid evolution of artificial intelligence, especially through multi-modal large language models, has redefined user interactions, enabling responses that are contextually rich and human-like. As AI becomes an integral part of daily…

Human-Computer Interaction · Computer Science 2024-11-21 Weizhe Lin , Junxiao Shen

Empirical evidence shows that typing on touchscreen devices is prone to errors and that correcting them poses a major detriment to users' performance. Design of text entry systems that better serve users, across their broad capability…

Human-Computer Interaction · Computer Science 2025-02-07 Danqing Shi , Yujun Zhu , Francisco Erivaldo Fernandes Junior , Shumin Zhai , Antti Oulasvirta
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