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The Influence of Organizational Culture on the Adoption of ICT Innovation following Technological Disruption: Evidence from Kenyan ICT SMEs
2018
International Journal of Advances in Scientific Research and Engineering
usefulness of the technology and perceived ease of use from using the technology. ...
Data collected is analysed using regression and correlation techniques. ...
Hofstede's Multi-focus model According to [33] , organization culture can be dimensionalized into six categories. ...
doi:10.31695/ijasre.2018.32901
fatcat:d23dpgl33zea5gpehihprge3we
Socioecological influences on concussion reporting by NCAA Division 1 athletes in high-risk sports
2019
PLoS ONE
In accordance with the socioecological approach to health, we argue that multiple levels of influence on student athletes must be addressed, and report a multi-dimensional, mixed-methods research project ...
Using quantitative, qualitative and interpretive methods, we examine the individual-level vested interests athletes have in reporting or not reporting concussion symptoms, and how these interests interact ...
Integration of socioecological levels This study's multi-dimensional approach illuminated relationships that would not have been evident in single method studies. ...
doi:10.1371/journal.pone.0215424
pmid:31067230
pmcid:PMC6505740
fatcat:m6v43pot5zcmne2w3h4qqepuxa
Trust Measurement in Human-Autonomy Teams: Development of a Conceptual Toolkit
2022
ACM Transactions on Human-Robot Interaction (THRI)
of trust in human-autonomy teams operating within uncertain, risky, and dynamic environments. ...
This paper seeks to expand on trust measurement principles and the foundation of human-autonomy teaming to propose a "toolkit" of novel methods that support the development, maintenance and calibration ...
Under the premise that trust should be considered a multi-dimensional construct [Baker, Phillips, Ullman & Keebler, 2018] , we argue that to effectively measure team trust, we must consider which types ...
doi:10.1145/3530874
fatcat:cghdrk6lv5dufaeacbumfpqsyu
The Role of Trust in Human-Robot Interaction
[chapter]
2018
Foundations of Trusted Autonomy
Acknowledgements This work is supported by awards FA9550-13-1-0129 and FA9550-15-1-0442. ...
The three dimensional (Purpose, Process, and Performance) model proposed by Lee and See [58] , for example, presumes that trust (and indirectly, propensity to use) is influenced by a person's knowledge ...
By predicting effects of reliability and initial trust on system performance, such models might be used to select appropriate levels of automation or provide feedback to human operators. ...
doi:10.1007/978-3-319-64816-3_8
fatcat:r2r53vicbbdedg7rj3r7m5n3ke
Approaches for assessing communication in human-autonomy teams
2021
Human-Intelligent Systems Integration
It is not possible to identify all approaches for all situations, though the following seem to generalize and support multi-size teams and a variety of military operations. ...
AbstractEvaluation of team communication can provide critical insights into team dynamics, cohesion, trust, and performance on joint tasks. ...
This can be used to generate other types of networks such as trust networks and teammate affinity networks (Borgatti et al. 2018) . ...
doi:10.1007/s42454-021-00026-2
fatcat:br5vzqgt5fb7dataceijshlpcu
Adaptive Agent Architecture for Real-time Human-Agent Teaming
[article]
2021
arXiv
pre-print
Therefore, we discard learning human models from human data, and instead use an adaptation strategy on a pre-trained library of exemplar policies composed of RL algorithms or rule-based methods with minimal ...
The adaptation strategy relies on a novel similarity metric to infer human policy and then selects the most complementary policy in our library to maximize the team performance. ...
Acknowledgments This research was supported by a reward W911NF-19-2-0146 and AFOSR/AFRL award FA9550-18-1-0251. ...
arXiv:2103.04439v1
fatcat:2ltzoymcjzeqnm4c3f3bepc6je
The Transfer of Human Trust in Robot Capabilities across Tasks
[article]
2018
arXiv
pre-print
In particular, our models can be used to derive robot policies that mitigate under-trust or over-trust by human teammates in collaborative multi-task settings. ...
Our findings lead to a functional view of trust and two novel predictive models---a recurrent neural network architecture and a Bayesian Gaussian process---that capture trust evolution and transfer via ...
ACKNOWLEDGEMENT This work was supported by a NUS Office of the Deputy President (Research and Technology) Startup Grant. Thank you to Indu Prasad for her help with the data analysis. ...
arXiv:1807.01866v1
fatcat:letjesxxnffg5hyfx3x3nc4rlu
From pixels to multi-robot decision-making: A study in uncertainty
2006
Robotics and Autonomous Systems
We present a complete vision-based robotic system that includes several algorithms for learning models that are useful and necessary for planning, and then place particular emphasis on the planning and ...
Specifically, we present models for autonomous color calibration, autonomous sensor and actuator modeling, and an adaptation of particle filtering for improved localization on legged robots. ...
Acknowledgments This research is supported in part by NSF CAREER award IIS-0237699, ONR YIP award N00014-04-1-0545, and DARPA grant HR0011-04-1-0035. ...
doi:10.1016/j.robot.2006.05.010
fatcat:4oppmqjrvrhvzgzmfveeoi2peu
Engineering Human–Machine Teams for Trusted Collaboration
2020
Big Data and Cognitive Computing
Based on our analysis, we propose and outline three important areas of future research on engineering and operating human–machine teams for trusted collaboration. ...
In terms of methods, we focus on how reciprocal trust between humans and intelligent machines is defined, built, measured, and maintained from a systems engineering and planning perspective in literature ...
Acknowledgments: We gratefully acknowledge Alexander Herzog, Carsten Hesselmann and Marc Schlegel for providing administrative support of the HERMES project. ...
doi:10.3390/bdcc4040035
fatcat:uoanpxph5fbglo7sl3pytbkykm
The Transfer of Human Trust in Robot Capabilities across Tasks
2018
Robotics: Science and Systems XIV
In particular, our models can be used to derive robot policies that mitigate under-trust or over-trust by human teammates in collaborative multi-task settings. ...
Our findings lead to a functional view of trust and two novel predictive models-a recurrent neural network architecture and a Bayesian Gaussian process-that capture trust evolution and transfer via latent ...
ACKNOWLEDGEMENT This work was supported by a NUS Office of the Deputy President (Research and Technology) Startup Grant. Thank you to Indu Prasad for her help with the data analysis. ...
doi:10.15607/rss.2018.xiv.033
dblp:conf/rss/SohSCH18
fatcat:lvh7sw45m5gxniio44lxktkti4
University Student's Academic Goals When Working in Teams: Questionnaire on Academic Goals in Teamwork, 3 × 2 Model
2019
Frontiers in Psychology
to determine if the model 3 × 2 offers a better fit to the data than other models, such as: 2 × 2; Trichotomous; Definition; Valence, among others. ...
Therefore, we considered it a useful instrument for studying motivation in the group work context. ...
To do so involves abandoning the belief that success depends solely on one's own efforts and requires trust in the ability of the teammates. ...
doi:10.3389/fpsyg.2019.02434
pmid:31708853
pmcid:PMC6821790
fatcat:yfa5ysvklfbv3juwysa2wu6tzq
Emotional Intelligence: A New Edge of Enhancing Teamwork
2018
International Journal of Management Studies
Among the dimensions, self awareness enables an individual to know his own emotions by which he too can control or understand his teammates emotions. ...
Emotional intelligence helps in conflict resolution which and creates comfortable and co-operative work environment. Team members need to be aware of their feelings. ...
Emotional intelligence is a multi-dimensional concept provides linkage between emotion and cognition in order to improve human interactions. ...
doi:10.18843/ijms/v5i3(7)/01
fatcat:khxapu6hu5btbkiwh2kzv5t5ku
Trust in Virtual Teams: A Multidisciplinary Review and Integration
2019
Australasian Journal of Information Systems
We use the review to develop an integrated model of trust in VTs. ...
Based on our review, we provide theoretical insights into the relationship between virtuality and team trust, and highlight several critical suggestions for moving this literature forward to meet the needs ...
Conversely, IS researchers need to explore the dynamic, multi-dimensional aspects of trust that are discussed in management and psychology journals. ...
doi:10.3127/ajis.v23i0.1757
fatcat:63isuzr2ebhjvi3efwpzqrqmr4
Why don't you Dope? A preliminary analysis of the factors which influence athletes decision not to Dope in Sport
2015
Choregia
More powerful control mechanisms such as social and self-controls seem to be operating amongst athletes and issues of trust and the role of emotion are significant concepts that require further research ...
national and international events, professional sport, Pan American Games, provincial teams, and World University Games. ...
The multi-dimensional aspect of our study and use of literature on control of and in organizations has yet to be applied to the context of doping in sport and will examine this issue from a new perspective ...
doi:10.4127/ch.2015.0099
fatcat:kxqfda3duzbnddezipnow6ipka
Effects of anticipatory perceptual simulation on practiced human-robot tasks
2009
Autonomous Robots
With the aim of attaining increased fluency and efficiency in human-robot teams, we have developed a cognitive architecture for robotic teammates based on the neuropsychological principles of anticipation ...
We also find differences in verbal attitudes towards the robot: most notably, subjects working with the anticipatory robot attribute more human qualities to the robot, such as gender and intelligence, ...
Based on these findings, we believe that anticipation through perceptual simulation can provide a powerful model for robots acting jointly with humans if they are to collaborate fluently using multi-modal ...
doi:10.1007/s10514-009-9166-3
fatcat:v6lapajtsfc7hkqbt4gdsithuq
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