Effective Use of Human Computer Interaction in Digital Academic Supportive Devices
January 03, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
S. Thuseethan, S. Kuhanesan
arXiv ID
1501.00529
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
14
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this research, a literature in human-computer interaction is reviewed and the technology aspect of human computer interaction related with digital academic supportive devices is also analyzed. According to all these concerns, recommendations to design good human-computer digital academic supportive devices are analyzed and proposed. Due to improvements in both hardware and software, digital devices have unveiled continuous advances in efficiency and processing capacity. However, many of these systems are also becoming larger and increasingly more complex. Although such complexity usually poses no difficulties for many users, it often creates barriers for academic users while using digital devices. Usually, in designing those digital devices, the human-computer interaction is left behind without consideration. To achieve dependable, usable, and well-engineered interactive digital academic supportive devices requires applied human computer interaction research and awareness of its issues.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted