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Using ChatGPT for human-computer interaction research: a primer. [PDF]
R Soc Open Sci, 2023 ChatGPT could serve as a tool for text analysis within the field of Human–Computer Interaction, though its validity requires investigation. This study applied ChatGPT to: (1) textbox questionnaire responses on nine augmented-reality interfaces, (2 ...
Tabone W, de Winter J.
europepmc +2 more sources
An Exploration into Human-Computer Interaction: Hand Gesture Recognition Management in a Challenging Environment. [PDF]
SN Comput Sci, 2023 Scientists are developing hand gesture recognition systems to improve authentic, efficient, and effortless human–computer interactions without additional gadgets, particularly for the speech-impaired community, which relies on hand gestures as their only
Chang V, Eniola RO, Golightly L, Xu QA.
europepmc +2 more sources
The experience of enchantment in human–computer interaction [PDF]
, 2005 Improving user experience is becoming something of a rallying call in human–computer interaction but experience is not a unitary thing. There are varieties of experiences, good and bad, and we need to characterise these varieties if we are to improve ...
John McCarthy +3 more
openalex +3 more sources
The Placebo Effect of Artificial Intelligence in Human–Computer Interaction [PDF]
ACM Trans. Comput. Hum. Interact., 2022 In medicine, patients can obtain real benefits from a sham treatment. These benefits are known as the placebo effect. We report two experiments (Experiment I: N = 369; Experiment II: N = 100) demonstrating a placebo effect in adaptive interfaces ...
T. Kosch +3 more
semanticscholar +1 more source
A Survey on Measuring Cognitive Workload in Human-Computer Interaction
ACM Computing Surveys, 2023 The ever-increasing number of computing devices around us results in more and more systems competing for our attention, making cognitive workload a crucial factor for the user experience of human-computer interfaces.
T. Kosch +5 more
semanticscholar +1 more source
Humanities & Social Sciences Communications, 2022 In the ongoing COVID-19 pandemic, non-pharmaceutical protective measures taken by individuals remain pivotal. This study aims to explore what motivates individuals to engage in such measures.
Lilian Kojan +3 more
doaj +1 more source
GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction
IET Signal Processing, 2023 Accurate prediction of financial market trends can have a great impact on maximizing profits and avoiding risks. Conventional methods, e.g., regression or SVR, or end-to-end training approaches, coined as deep learning algorithms, have restraints as a ...
Humam M. Abdulsahib, Foad Ghaderi
doaj +1 more source
Post-growth Human–Computer Interaction
ACM Trans. Comput. Hum. Interact., 2023 Human–Computer Interaction (HCI) researchers have increasingly been questioning computing’s engagement with unsustainable and unjust economic growth, pushing for identifying alternatives.
Vishal Sharma, Neha Kumar, Bonnie Nardi
semanticscholar +1 more source
Data-to-music sonification and user engagement
Frontiers in Big Data, 2023 The process of transforming data into sounds for auditory display provides unique user experiences and new perspectives for analyzing and interpreting data.
Jonathan Middleton +11 more
doaj +1 more source
Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier
Journal of Healthcare Engineering, 2022 Human-computer interaction (HCI) has seen a paradigm shift from textual or display-based control toward more intuitive control modalities such as voice, gesture, and mimicry.
A. Alnuaim +7 more
semanticscholar +1 more source