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Optimization of Touch Active Area Size Based on Click Position Bias in Older Adults’ Touchscreen Interaction
Changes in both physiological structure and psychological factors occur in older adults, leading to a decline in fine motor control and inferior...
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Proactive personality, interaction, and teaching strategy alignment: A conceptual-level analysis of interaction in distance learning
Based on the instructional interaction principles outlined by Chen and Wang (
2016 ) in third-generation distance learning, this study employs a...
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Active Blockference: cadCAD with Active Inference for Cognitive Systems Modeling
Cognitive approaches to complex systems modeling are currently limited by the lack of flexible, composable, tractable simulation frameworks. Here, we...
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Relational Active Feature Elicitation for DDDAS
Dynamic Data Driven Applications Systems (DDDAS) utilize data augmentation for system performance. To enhance DDDAS systems with domain experts,...
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Automation of interaction—interaction design at the crossroads of user experience (UX) and artificial intelligence (AI)
Interaction design/HCI seems to be at a crossroads. On the one hand, it is still about designing for engaging user experiences (UX). Still, on the...
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Active Inference Successor Representations
Recent work has uncovered close links between classical reinforcement learning (RL) algorithms, Bayesian filtering, and Active Inference which lets...
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Unvoiced Vowel Recognition Using Active Bio-Acoustic Sensing for Silent Speech Interaction
In this study, we propose a silent speech recognition technique using Active Bio-Acoustics Sensing. The proposed method attaches a piezoelectric...
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Active Objects Based on Algebraic Effects
Algebraic effects are a long-studied programming language construct allowing the implementation of complex control flow in a structured way. With...
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Exploring Active and Critical Engagement in Human-Robot Interaction to Develop Programming Skills: A Pilot Study
Humanoid robots can help improve the spatial programming skills of children by making abstract concepts playful, tangible, concrete, and thereby...
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Engineering applications and technical challenges of active array microsystems
In the post-Moore era, the development of active phased array antennas will inevitably trend towards active array microsystems. In this paper, the...
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Research on Interactive Force Control Method of Upper Limb Exoskeleton Based on Active Intention Recognition
The paper proposes an upper limb exoskeleton interaction force control method based on active motion intention recognition to address the problems of...
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Simulating User Journeys with Active Objects
The servitization of business makes companies increasingly dependent on providing carefully designed user experiences for their service offerings....
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Integrating Data Privacy Compliance in Active Object Languages
As users of digitalized services are more and more required to share their personal data, it becomes increasingly important for applications to...
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Bridging Between Active Objects: Multitier Programming for Distributed, Concurrent Systems
Programming distributed and concurrent systems is notoriously hard. Active objects, which encapsulate operations, state and control flow, have been...
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Human-Building Interaction for Interactive Cultural Heritage Site
Direct interaction with historical built environments is often impossible but would increase users’ understanding and meaningful connection to them....
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Downscaling spatial interaction with socioeconomic attributes
A variety of complex socioeconomic phenomena, for example, migration, commuting, and trade can be abstracted by spatial interaction networks, where...
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Haptics as an Interaction Modality
This chapter focuses on the biological and behavioural basics of the haptic modality. On the one side, several concepts for describing interaction...
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Involving the Human via Interaction
This chapter explains why involving the human is important when visually analyzing time and time-oriented data. Some general assertions will be made...
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Small Test Suites for Active Automata Learning
A bottleneck in modern active automata learning is to test whether a hypothesized Mealy machine correctly describes the system under learning. The...
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Active learning with biased non-response to label requests
Active learning can improve the efficiency of training prediction models by identifying the most informative new labels to acquire. However,...
