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Experiences of misfit as cues for sensemaking of ERPs

Le Roux Daniel B.
2015 South African Journal of Information and Communication  
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

Magnus Boman, Pedro Sanches
2015 Künstliche Intelligenz  
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

Alicia DeVos, Aditi Dhabalia, Hong Shen, Kenneth Holstein, Motahhare Eslami
2022 CHI Conference on Human Factors in Computing Systems  
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)

Lewis Chuang, Andrew Duchowski, Pernilla Qvarfordt, Daniel Weiskopf, Michael Wagner
2019 Dagstuhl Reports  
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

Christine McGlade
2019 Figshare  
, 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

Guglielmo Papagni, Sabine Koeszegi
2020 Paladyn: Journal of Behavioral Robotics  
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]

Christopher Brooks, Jim Greer, Carl Gutwin
2014 Learning Analytics  
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

Scott Pezanowski, Prasenjit Mitra, Alan M. MacEachren
2022 KN - Journal of Cartography and Geographic Information  
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

Armanda Lewis, Julia Stoyanovich
2021 International Journal of Artificial Intelligence in Education  
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]

Julia Stoyanovich, Armanda Lewis
2019 arXiv   pre-print
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

Thomas Calvard
2019 Social Sciences  
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

Simon Knight, Simon Buckingham Shum, Karen Littleton
2013 Proceedings of the Third International Conference on Learning Analytics and Knowledge - LAK '13  
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

Robert De Boer, Sidney Dekker
2017 Safety  
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]

Michael Ridley
2022 arXiv   pre-print
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

Kimberly D. Elsbach, Pamela S. Barr, Andrew B. Hargadon
2005 Organization science (Providence, R.I.)  
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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