Bibliography

The resources, papers, and references that shape my work—curiosity and attention research, knowledge graphs and ontology, storytelling and visualization, and software engineering. Part of a much larger body of reading and study than I could possibly list.

Curiosity & Attention Research

→ Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116(1), 75–98.
→ Kidd, C., & Hayden, B. Y. (2015). The psychology and neuroscience of curiosity. Neuron, 88(3), 449–460.
→ Litman, J. A. (2008). Interest and deprivation factors of epistemic curiosity. Personality and Individual Differences, 44(7), 1585–1595.
→ Berlyne, D. E. (1954). A theory of human curiosity. British Journal of Psychology, 45, 180–191.
→ Berlyne, D. E. (1960). Conflict, arousal, and curiosity. McGraw-Hill.
→ Kashdan, T. B., Stiksma, M. C., Disabato, D. J., McKnight, P. E., Bekier, J., Kaji, J., & Lazarus, R. (2018). The five-dimensional curiosity scale: Capturing the bandwidth of curiosity and identifying four unique subgroups of curious people. Journal of Research in Personality, 73, 130–149.
→ Pirolli, P., & Card, S. (1999). Information foraging. Psychological Review, 106(4), 643–675.
→ Pirolli, P. (2005). Rational analyses of information foraging on the Web. Cognitive Science, 29(3), 343–373.
→ Pirolli, P. (2007). Information Foraging Theory: Adaptive Interaction with Information. Oxford University Press.
→ Gottlieb, J., & Oudeyer, P.-Y. (2018). Towards a neuroscience of active sampling and curiosity. Nature Reviews Neuroscience, 19(12), 758–770.
→ Oudeyer, P.-Y., Gottlieb, J., & Lopes, M. (2016). Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. Progress in Brain Research, 229, 257–284.
→ Sousa, A. M., Almeida, J. M., & Figueiredo, F. (2019). Analyzing and modeling user curiosity in online content consumption: A LastFM case study. ASONAM 2019.
→ Gasparetti, F. (2017). Modeling user interests from web browsing activities. Data Mining and Knowledge Discovery, 31(2), 502–547.
→ Guo, M., Zhou, Z., Gotz, D., & Wang, Y. (2023). GRAFS: Graphical faceted search system to support conceptual understanding in exploratory search. ACM Transactions on Interactive Intelligent Systems.
→ Fu, Z., & Niu, X. (2023). Modeling users’ curiosity in recommender systems.
→ Dontcheva, M., Drucker, S. M., Wade, G., Salesin, D., & Cohen, M. (2006). Summarizing personal web browsing sessions. UIST 2006, 115–124.
→ Attensity — the Friends of Attention.

Knowledge Graphs & Ontology

→ Protégé 5 — OWL Pizza Tutorial
→ SKOS Simple Knowledge Organization System Primer — W3C
→ OWL 2 Web Ontology Language Primer — W3C
→ Knowledge Graphs Course — FIZ Karlsruhe

Storytelling & Data Visualization

→ Understanding Comics: The Invisible Art — Scott McCloud
→ The Manga Guide to Linear Algebra — Shin Takahashi & Iroha Inoue
→ Wabi-Sabi for Artists, Designers, Poets & Philosophers — Leonard Koren
→ McLuhan’s Theory of Attention
→ Think Stats (3rd ed.) — Allen B. Downey Exploratory data analysis and statistical thinking for programmers, using Python and real-world datasets.
→ Wardley Maps — Simon Wardley

Software Engineering

→ SWEBOK v4 — Guide to the Software Engineering Body of Knowledge (IEEE Computer Society)
→ Automate the Boring Stuff with Python — Al Sweigart
→ Introduction to Computation and Programming Using Python — John Guttag
→ Python Playground — Mahesh Venkitachalam
→ JavaScript from Beginner to Professional — Laurence Lars Svekis, Maaike van Putten, & Rob Percival
→ Kaggle Courses — Pandas
→ Think Complexity — Allen B. Downey
→ Scrimba Fullstack Developer Path

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Curiosity & Attention Research

Knowledge Graphs & Ontology

Storytelling & Data Visualization

Software Engineering