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Experiences of misfit as cues for sensemaking of ERPs
2015
South African Journal of Information and Communication
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In this study Karl Weick's theory of Sensemaking is adopted to investigate the process by which users develop the meaningful understandings of ERPs. ...
Successfully embedding ERP systems in organisational structures does, however, pose a significant array of technical and social (human) challenges. ...
Further applications of sensemaking theory have been done in the field of human-computer interaction as a means to investigate the role of machines, and mental models of machines, in the processes by which ...
doi:10.23962/10539/20331
fatcat:ztnm7banjfej7pao6qs2pdyxbe
Sensemaking in Intelligent Health Data Analytics
2015
Künstliche Intelligenz
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The conclusion is that the employment of our systemic model for successful sensemaking integrates not only data with networked foresight, but also unpacks such problems and the user practices associated ...
A systemic model for making sense of health data is presented, in which networked foresight complements intelligent data analytics. ...
Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) ...
doi:10.1007/s13218-015-0349-0
fatcat:3db6s4fbczhkrngxcbngme4sge
Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior
2022
CHI Conference on Human Factors in Computing Systems
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To investigate, we conducted a series of think-aloud interviews, diary studies, and workshops, exploring how users find and make sense of harmful behaviors in algorithmic systems, both individually and ...
invaluable in user-driven algorithm audits. ...
ACKNOWLEDGMENTS This work was supported by the National Science Foundation (NSF) program on Fairness in AI in collaboration with Amazon under Award No. ...
doi:10.1145/3491102.3517441
fatcat:obypclcgqzfwjjnst5rwgs24z4
Ubiquitous Gaze Sensing and Interaction (Dagstuhl Seminar 18252)
2019
Dagstuhl Reports
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The miniaturization of optical devices and advances in computer vision, as well as a lower cost point, have led to an increased integration of gaze sensing capabilities in computing systems. ...
This fostered a dialog and allowed: (1) computing scientists to understand the problems that are faced in recording and interpreting gaze data; (2) gaze researchers to consider how modern computing techniques ...
I propose a novel interactive machine learning paradigm directly leveraging gaze information to train machine learning to support sensemaking. ...
doi:10.4230/dagrep.8.6.77
dblp:journals/dagstuhl-reports/ChuangDQW18
fatcat:7nfkzimerrb3hpcb25bwy7sf5e
McGlade_Christine_2018_MDES_SFI.pdf
2019
Figshare
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, as we witness the increasing use of machine learning systems in governance roles.Machine learning has so far shown itself to be a double edged sword in its ability to accelerate social justice: therapy ...
While a great deal of focus has been placed on job loss in the face of automation, the more profound effect of machine learning will be fundamental changes throughout our technologically based social systems ...
Thank you to Jeremy Bowes for his close read and invaluable feedback on all things systemic. ...
doi:10.6084/m9.figshare.10324700
fatcat:7czdfpuwordjvjsvcachbcaaeu
Understandable and trustworthy explainable robots: A sensemaking perspective
2020
Paladyn: Journal of Behavioral Robotics
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The article proposes an organic solution for the design of explainable robots rooted in a sensemaking perspective. ...
AbstractThis article discusses the fundamental requirements for making explainable robots trustworthy and comprehensible for non-expert users. ...
on machine learning models known as "black-boxes." ...
doi:10.1515/pjbr-2021-0002
fatcat:hc5ltujes5ei3pgjyxwpdbkvsu
The Data-Assisted Approach to Building Intelligent Technology-Enhanced Learning Environments
[chapter]
2014
Learning Analytics
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Learner Goals Formal assessment is not the only indicator of learning, and a similar approach using machine learning allows one to form a relationship between the behaviours of learners and subjective ...
This approach demonstrates how the sensemaking process in the fi eld of learning analytics can be used to affect teaching and learning. ...
doi:10.1007/978-1-4614-3305-7_7
fatcat:p4n52reyrvbv3hubhzzbouzdb4
Exploring Descriptions of Movement Through Geovisual Analytics
2022
KN - Journal of Cartography and Geographic Information
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2022 pre-print arXiv:2204.09588v1 fatcat:zo6jvdymhrfxffkhqqtpa6pzc4
We present GeoMovement, a system that is based on combining machine learning and rule-based extraction of movement-related information with state-of-the-art visualization techniques. ...
Aggregating and understanding information related to descriptions of movement and lack of movement specified in text can lead to an improved understanding and sensemaking of movement phenomena of various ...
We would like to thank the Information Technology group in the College of Information Sciences and Technology at The Pennsylvania ...
doi:10.1007/s42489-022-00098-3
pmid:35229072
pmcid:PMC8866112
fatcat:ni47yanb6rabbiangd7ooxwfla
Teaching Responsible Data Science: Charting New Pedagogical Territory
2021
International Journal of Artificial Intelligence in Education
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In the context of interpreting machine learning models, we highlight the suitability of "nutritional labels"-a family of interpretability tools that are gaining popularity in responsible data science research ...
and fairness. ...
This led to the development of crossdisciplinary research in responsible data science, fairness in machine learning and explainable AI, and to the establishment of the ACM Conference on Fairness, Accountability ...
doi:10.1007/s40593-021-00241-7
pmid:33880114
pmcid:PMC8049623
fatcat:kqzy57ms45fe5ahr5kp2zpinlq
Teaching Responsible Data Science: Charting New Pedagogical Territory
[article]
2019
arXiv
pre-print
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With this work we aim to contribute to the nascent area of RDS education, and to inspire others in the community to come together to develop a deeper theoretical understanding of the pedagogical needs ...
Finding such balance is particularly difficult in the nascent field of responsible data science (RDS), where we are only starting to understand how to interface between the intrinsically different methodologies ...
Additionally, the presentation of complex machine learning models provide opportunities for explicit and implicit assessment. ...
arXiv:1912.10564v1
fatcat:ry4kj66dtnbw5maqxj3duj6eui
Integrating Social Scientific Perspectives on the Quantified Employee Self
2019
Social Sciences
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Embodied sensemaking views the employee as a self-conscious user of big data seeking to make sense of their embeddedness in wider digital and organizational environments. ...
This article suggests that the three perspectives are complementary and can be usefully integrated into an embodied sensemaking perspective. ...
Features of wearables devices and apps can therefore act as 'triggers' for employee sensemaking in how they use, critique and learn from technology (Griffith 1999) . ...
doi:10.3390/socsci8090262
fatcat:5eeojxnambhazkl3tz6ei2rk6u
Epistemology, pedagogy, assessment and learning analytics
2013
Proceedings of the Third International Conference on Learning Analytics and Knowledge - LAK '13
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We provide examples to illustrate the ways in which the understandings of particular analytics are informed by this triad. ...
We propose that the literature examining the triadic relationships between epistemology (the nature of knowledge), pedagogy (the nature of learning and teaching) and assessment provide critical considerations ...
anonymous reviewers for helpful comments on an earlier version of this paper presented at the LAK13 conference, and to Dan Suthers and the LAK13 attendees who offered helpful feedback, which was used in ...
doi:10.1145/2460296.2460312
dblp:conf/lak/KnightSL13
fatcat:sfqbgk7bijawldlbymqx5xqlnm
Models of Automation Surprise: Results of a Field Survey in Aviation
2017
Safety
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Automation surprises in aviation continue to be a significant safety concern and the community's search for effective strategies to mitigate them are ongoing. ...
This finding is relevant for aviation safety, since our understanding of the cognitive processes that govern the human interaction with automation drives what we need to do to reduce the frequency of automation-induced ...
This assessment enables the identification of "complacency potential", "complacency", "automation bias", "learned carelessness" and "lack of Situational Awareness". ...
doi:10.3390/safety3030020
fatcat:ka5x5kruunhlrpxb6jdann24ru
Can Information Behaviour Inform Machine Learning?
[article]
2022
arXiv
pre-print
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and informing, a better understanding of information need and how that affects the communication among people and systems, guidance on the nature of context and how to operationalize that in models and ...
Using the development of foundation models in machine learning as an example, the paper illustrates how human information behaviour research can bring to machine learning a more nuanced view of information ...
Taylor, 1968 ) introduce notions of uncertainty, gaps, and sensemaking that motivate users. ...
arXiv:2205.00538v1
fatcat:en5jil6f4nbvpbmx7s4iivuqmi
Identifying Situated Cognition in Organizations
2005
Organization science (Providence, R.I.)
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the assessment of risk in evaluating loan applications. ...
However because users' rule schema for normal operation centered on output, not the machine, the users provided no information about the machine operating abnormally to the engineers. ...
doi:10.1287/orsc.1050.0138
fatcat:2cxh4v5ktnbzbbgzxdnqsycgfq
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