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AAAI Spring Symposium 2022 - HFIF: Stanford University, Palo Alto, CA, USA
- Takashi Kido, Keiki Takadama:
Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), Stanford, CA, March 21-23, 2022. CEUR Workshop Proceedings 3276, CEUR-WS.org 2022
Session 1: Overview
- Takashi Kido, Keiki Takadama:
The Challenges for Fairness and Well-being. 1-3 - Keiki Takadama:
How to Cope with Bias in Well-being AI? 4-7
Session 2: Social Interaction
- Oliver Bendel, Liliana Margarida Dos Santos Alves:
Should Social Robots in Retail Manipulate Customers? 8-15 - Martin Spathelf, Oliver Bendel:
The SPACE THEA Project. 16-23 - Ana Djuric, Meina Zhu, Weisong Shi, Thomas Palazzolo, Robert G. Reynolds:
Monitoring and Maintaining Student Online Classroom Participation Using Cobots, Edge Intelligence, Virtual Reality, and Artificial Ethnographies. 24-30 - Hiroaki Hamada, Ryota Kanai:
AI Agents for Facilitating Social Interactions and Wellbeing. 31-38
Session 3: Education
- Hiromitsu Yamaguchi, Hirofumi Abe, Toshiyuki Shimazaki, Kenzo Ozaki, Masayuki Numao:
How to Teach AI Programming for Elementary Students? 39-40
Session 4: Care for Elderly Persons
- Hayate Kondo, Masayuki Numao:
Automatic Textual Care Record Generation for Smart Nursing. 41-42 - Shintaro Nagama, Masayuki Numao:
Modeling, Monitoring and Measuring of Social Isolation for Community-based Care in Nursing House. 43-44
Session 5: Data Analysis
- Teruaki Hayashi, Yumiko Nagoh, Kai Ishikawa, Hirohiko Ito, Kenichiro Tsuda, Yukio Ohsawa:
Well-being Data Origination Using MROCs with Variable Quest: A Case Analysis of Gloom during COVID-19 Pandemic. 45-46
Session 6: Cognitive Bias
- Christina Alexandris:
Sense and Sensitivity: Knowledge Graphs as Training Data for Processing Cognitive Bias, Context and Information Not Uttered in Spoken Interaction. 47-54
Session 7: Fairness
- Martin Aleksandrov:
Fairness for Drivers with Additive Profits in Emerging Vehicle Routing Problems. 55 - Stelios Boulitsakis-Logothetis:
Fairness-aware Naive Bayes Classifier for Data with Multiple Sensitive Features. 56-65 - Thomas Goolsby, Sheikh Rabiul Islam, Ingrid Russell:
Advancing Fairness in Public Funding Using Domain Knowledge. 66-73
Session 8: Sleep
- Iko Nakari, Naoya Matsuda, Keiki Takadama:
REM Estimation Based on Combination of Multi-Timescale Estimations and Automatic Adjustment of Personal Bio-vibration Data of Mattress Sensor. 74-80 - Naoya Matsuda, Taiki Senju, Iko Nakari, Keiki Takadama:
Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection. 81-87 - Miki Nakai, Tomoyoshi Ashikaga, Takahiro Ohga, Keiki Takadama:
A Thermal Environment that Promotes Efficient Napping. 88-93
Session 9: Agent Simulation
- Yoshiaki Fukami, Takumi Shimizu, Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima:
Centralized Versus Decentralized Digital Identity Architectures: Simulation Models of Data Exchange. 94-95
Session 10: Market
- Yukio Ohsawa, Sae Kondo, Teruaki Hayashi:
Feature Concepts as Pattern Language for Data-Federative Innovations. 96-97 - Yosuke Nishikawa, Teruaki Hayashi, Takaaki Yoshino, Toshiaki Sugie, Yoshiyuki Nakata, Kakeru Itou, Yukio Ohsawa:
Change Explanation in Financial Markets by Graph-Based Entropy and Inter-regional Interactions. 98-99
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