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2022

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Leveraging Initial Cognitive Load To Predict User Response To Complex Visual Tasks, Reem Albaghli, Yaman Jandali, Sarah Almahmid, Nada Attar Jan 2022

Leveraging Initial Cognitive Load To Predict User Response To Complex Visual Tasks, Reem Albaghli, Yaman Jandali, Sarah Almahmid, Nada Attar

Faculty Research, Scholarly, and Creative Activity

In this study, we were able to show how cognitive load measurement during the initiation of a complex visual task can predict user response. We measured cognitive load using pupil size and microsaccade rate. The initial phase of task was defined as the first 25 percent of the trial Reaction Time (RT), which was variable up to 50 seconds. The complex visual task entailed a set of twelve words that could be grouped based into 1, 2, or 3 categories or sets, e.g., the words bed, pillow, headboard, etc. can be grouped into a single set that is bedroom. We …

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Tracking The Functions Of Ai As Paradata & Pursuing Archival Accountability, Jeremy Davet, Babak Hamidzadeh, Patricia Franks, Jenny Bunn Jan 2022

Tracking The Functions Of Ai As Paradata & Pursuing Archival Accountability, Jeremy Davet, Babak Hamidzadeh, Patricia Franks, Jenny Bunn

Faculty Research, Scholarly, and Creative Activity

While a familiar term in fields like social science research and digital cultural heritage, 'paradata' has not yet been introduced conceptually into the archival realm. In response to an increasing number of experiments with machine learning and artificial intelligence, the InterPARES Trust AI research group proposes the definition of paradata as 'information about the procedure(s) and tools used to create and process information resources, along with information about the persons carrying out those procedures.' The utilization of this concept in archives can help to ensure that AI-driven systems are designed from the outset to honor the archival ethic, and to …

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The Integer-Antimagic Spectra Of A Disjoint Union Of Hamiltonian Graphs, Uğur Odabaşi, Dan Roberts, Richard M. Low Jan 2022

The Integer-Antimagic Spectra Of A Disjoint Union Of Hamiltonian Graphs, Uğur Odabaşi, Dan Roberts, Richard M. Low

Faculty Research, Scholarly, and Creative Activity

Let A be a nontrivial abelian group. A simple graph G = (V,E) is A-antimagic, if there exists an edge labeling f: E(G) → A\{0} such that the induced vertex labeling (Formula Presented) is a one-to-one map. The integer-antimagic spectrum of a graph G is the set IAM(G) = {k: G is Zk-antimagic and k ≥ 2}. In this paper, we determine the integer-antimagic spectra for a disjoint union of Hamiltonian graphs.

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