A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Interaction Design for Explainable AI: Workshop Proceedings
[article]
2018
arXiv
pre-print
Preserved Fulltext
As artificial intelligence (AI) systems become increasingly complex and ubiquitous, these systems will be responsible for making decisions that directly affect individuals and society as a whole. ...
design challenges in XAI. ...
For example, the COMPAS AI system was challenged in the Craig Loomi criminal case [1]. ...
arXiv:1812.08597v1
fatcat:ybrbqzlym5dxrexws5fofcuuye
AI Stories: An Interactive Narrative System for Children
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
AI Stories is a proposed interactive dialogue system, that lets children co-create narrative worlds through conversation. ...
Conceptually story-telling through dialogue relates to the preprint interpretation of story, beyond the static and linear medium, where stories were performative, temporal, and social. ...
Introduction AI Stories is an applied Computational Creativity and Natural Language Processing project to develop an interactive dialogue system for children. ...
arXiv:2011.04242v1
fatcat:2onu4zgn75gkxalp3ye7pqejr4
Team Gaming for Team-building: Effects on Team Performance
2018
AIS Transactions on Human-Computer Interaction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
For example, in the information systems context, cross-functional and project-based teams that comprise a mix of personnel who temporarily work away from their usual functional groups (best perform agile ...
When new teammates play a collaborative video game, they engage in cooperative and challenging goals while they enjoy the games. ...
expectations for roles, interaction, communication, and even accountability. ...
doi:10.17705/1thci.00110
fatcat:kpad6qq5x5di3k32mbk3uw2uuq
AI in Finance: Challenges, Techniques and Opportunities
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The comparison, criticism and discussion of classic vs. modern AI techniques for finance are followed. ...
This area has been lasting for decades with both classic and modern AI techniques applied to increasingly broader areas of finance, economy and society. ...
Comparison
AI communities
Finance communities
Problem
AI research issues and challenges with applications in finance or in-
spired by financial problems and complexities
Financial problems and challenges ...
arXiv:2107.09051v1
fatcat:g62cz4dqt5dcrbckn4lbveat3u
An Interaction Framework for Studying Co-Creative AI
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper we propose a general framework for turn-based interaction between human users and AI agents designed to support human creativity, called co-creative systems. ...
We demonstrate how to apply this framework in conjunction with a pair of recent human subject studies, comparing between the four human-AI systems employed in these studies and generating hypotheses towards ...
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. ...
arXiv:1903.09709v1
fatcat:dvfsuh5zvrgwdp337dkp6ajjnq
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2106.08761v1 fatcat:uc4pq5rwc5fubewcsrmf4bcfku
This suggests that facial affect analysis should be incorporated into XAI to personalize explanations to individuals' interaction styles and to adapt explanations based on the difficulty of the task performed ...
Therefore, in this work, we aim to (1) identify which facial affect features are pronounced when people interact with XAI interfaces, and (2) develop a multitask feature embedding for linking facial affect ...
Introduction Machine learning and artificial intelligence (AI) techniques are being adopted to support human decisionmaking in domains such as medicine [13] , business [17] , and education [15] . ...
arXiv:2106.08761v2
fatcat:kuirjjnjxjht3eankzz5aacasy
AI in Games: Techniques, Challenges and Opportunities
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
professional level AIs; 3) raise the challenges or drawbacks in the current AIs for intelligent decision making; and 4) try to propose future trends in the games and intelligent decision making techniques ...
Through this survey, we 1) compare the main difficulties among different kinds of games for the intelligent decision making field ; 2) illustrate the mainstream frameworks and techniques for developing ...
In Section 7, we summarize and compare different techniques utilized. In Section 8, we show the challenges in current game AIs, which maybe the future research direction of this field. ...
arXiv:2111.07631v1
fatcat:g4sbl6v73rg4jdijj4qfi3eusq
Situational Awareness: Techniques, Challenges, and Prospects
2022
AI
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We discuss measurement of SA and the challenges associated with quantification of SA. ...
In this article, we propose a model for SA and dynamic decision-making that incorporates artificial intelligence and dynamic data-driven application systems to adapt measurements and resources in accordance ...
In particular, realtime automatic event detection and recognition is a challenging problem that requires not only advances in AI but also advance computing techniques, such as parallel computing and reconfigurable ...
doi:10.3390/ai3010005
fatcat:r25ws743cjbena5aqrigziasfm
Usability Engineering Methods for Interactive Intelligent Systems
2009
The AI Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
The field of Human-Computer Interaction (HCI) offers designers and developers of interactive systems a large repertoire of methods for ensuring that their systems will be both usable and useful. ...
include some sort of AI. ...
Exploratory Design One challenge with intelligent interactive systems is that we are often designing for rapidly evolving technologies, whose current capabilities may be poorly understood and may advance ...
doi:10.1609/aimag.v30i4.2272
fatcat:wixjgrwekjb7naemjixwyb5lhi
Designing for Human-Agent Interaction
1998
The AI Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
She goes on to deny the necessity of personifying or anthropomorphizing agents and proposes the reliance on user programming or machine learning, rather than traditional AI techniques, as an additional ...
good displays and methods for monitoring its performance (feedback). ...
doi:10.1609/aimag.v19i2.1369
dblp:journals/aim/Lewis98
fatcat:sjeu4jx335eq7e3ttvtjgcyupe
A General Context-Aware Framework for Improved Human-System Interactions
2015
The AI Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We first provide an operational definition of context and discuss challenges and opportunities for exploiting context. ...
For humans and automation to effectively collaborate and perform tasks, all participants need access to a common representation of potentially relevant situational information, or context. ...
Hybrid and ensemble methods (using multiple models for improved performance over any single model) are promising approaches that may address the challenges of efficiency and flexibility. ...
doi:10.1609/aimag.v36i2.2582
fatcat:wrpdkcauojfqlir5l76myeltwq
Performance of multivariate mutual information and autocorrelation encoding methods for the prediction of protein-protein interactions
2022
IAES International Journal of Artificial Intelligence (IJ-AI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We also built four types of MMI-autocorrelation (mixed) method and look for the best form of each type of MMI, autocorrelation, and mixed-method. ...
One of the challenges in computational methods in the prediction of protein-protein interactions is how to represent a sequence of amino acids in a vector so that it can be used in machine learning to ...
ACKNOWLEDGEMENTS This research is supported by the Q2 International Publication Assistance Grant 2021 from Directorate of Research and Community Service, Universitas Indonesia with contract number NKB- ...
doi:10.11591/ijai.v11.i2.pp773-786
fatcat:awllliau55crxd4lntfdrizhne
An Interaction Design for Machine Teaching to Develop AI Tutors
2020
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
, and problem solving control to enable authors to achieve greater model completeness in less time than existing authoring methods. ...
In this study, we demonstrate that Simulated Learners built with the Apprentice Learner (AL) Framework can be combined with a novel interaction design that emphasizes model transparency, input fexibility ...
Big thanks to Google for providing us with a 2018 Google Faculty Research Award supporting this work. ...
doi:10.1145/3313831.3376226
dblp:conf/chi/WeitekampHK20
fatcat:4spenevm4vdslc5ghrhfbrvtym
Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
2020
Energies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This work also expounds on the enormous current challenges and limitations faced during the application of machine learning techniques in cybersecurity. ...
Cyberspace has become an indispensable factor for all areas of the modern world. The world is becoming more and more dependent on the internet for everyday living. ...
APC is paid by Norwegian University of Science and Technology, Norway.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/en13102509
fatcat:2sm42247bnfv3h2fchgy2w2634
Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction
2020
Frontiers in Robotics and AI
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Particularly in the field of robotics, passive BCIs provide a promising channel for prediction of user's cognitive and affective state for development of a user-adaptive interaction. ...
We finally discuss the prospects and challenges in integration of passive BCIs in socially demanding HRI settings. ...
All authors contributed to the article and approved the submitted version. ...
doi:10.3389/frobt.2020.00125
pmid:33501291
pmcid:PMC7805996
fatcat:6y3m5wdylbdw5jmjyag5bqjvqi
« Previous
Showing results 1 — 15 out of 108,002 results