hfif-aaai-2022
How Fair is Fair? Achieving Wellbeing AI 2022

Table of Contents

• Summary: There were 18 papers submitted for peer-review to this workshop. Out of these, 18 papers were accepted for this volume, 11 as regular papers and 7 as short papers.

Session 1: Overview

• The Challenges for Fairness and Well-being - How Fair is Fair? Achieving Well-being AI 1-3
  Takashi Kido, Keiki Takadama
• How to Cope with Bias in Well-being AI? - Towards Fairness in Well-being AI by Personal and Long-term Evaluation 4-7
  Keiki Takadama

Session 2: Social Interaction

• Should Social Robots in Retail Manipulate Customers? 8-15
  Oliver Bendel, Liliana Margarida Dos Santos Alves
• The SPACE THEA Project 16-23
  Martin Spathelf, Oliver Bendel
• Monitoring and Maintaining Student Online Classroom Participation Using Cobots, Edge Intelligence, Virtual Reality, and Artificial Ethnographies 24-30
  Ana Djuric, Meina Zhu, Weisong Shi, Thomas Palazzolo, Robert G. Reynolds
• AI Agents for Facilitating Social Interactions and Wellbeing 31-38
  Hiroaki Hamada, Ryota Kanai

Session 3: Education

• How to Teach AI Programming for Elementary Students?– A Case Study of AI Conversation Robot Programming at UEC Programming School 39-40
  Hiromitsu Yamaguchi, Hirofumi Abe, Toshiyuki Shimazaki, Kenzo Ozaki, Masayuki Numao

Session 4: Care for Elderly Persons

• Automatic Textual Care Record Generation for Smart Nursing 41-42
  Hayate Kondo, Masayuki Numao
• Modeling, Monitoring and Measuring of Social Isolation for Community-based Care in Nursing House 43-44
  Shintaro Nagama, Masayuki Numao

Session 5: Data Analysis

• Well-being Data Origination Using MROCs with Variable Quest: A Case Analysis of Gloom during COVID-19 Pandemic 45-46
  Teruaki Hayashi, Yumiko Nagoh, Kai Ishikawa, Hirohiko Ito, Kenichiro Tsuda, Yukio Ohsawa

Session 6: Cognitive Bias

• Sense and Sensitivity: Knowledge Graphs as Training Data for Processing Cognitive Bias, Context and Information Not Uttered in Spoken Interaction 47-54
  Christine Alexandris

Session 7: Fairness

• Fairness for Drivers with Additive Profits in Emerging Vehicle Routing Problems 55-55
  Martin Aleksandrov
• Fairness-aware Naive Bayes Classifier for Data with Multiple Sensitive Features 56-65
  Stelios Boulitsakis-Logothetis
• Advancing Fairness in Public Funding Using Domain Knowledge 66-73
  Thomas Goolsby, Sheikh Rabiul Islam, Ingrid Russell

Session 8: Sleep

• REM Estimation Based on Combination of Multi-Timescale Estimations and Automatic Adjustment of Personal Bio-vibration Data of Mattress Sensor 74-80
  Iko Nakari, Naoya Matsuda, Keiki Takadama
• Analysis of Circadian Rhythm Estimation Process for Improving the Accuracy of Alzheimer Dementia Detection 81-87
  Naoya Matsuda, Taiki Senju, Iko Nakari, Keiki Takadama
• A Thermal Environment that Promotes Efficient Napping 88-93
  Miki Nakai, Tomoyoshi Ashikaga, Takahiro Ohga, Keiki Takadama

Session 9: Agent Simulation

• Centralized Versus Decentralized Digital Identity Architectures: Simulation Models of Data Exchange 94-95
  Yoshiaki Fukami, Takumi Shimizu, Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima

Session 10: Market

• Feature Concepts as Pattern Language for Data-Federative Innovations 96-97
  Yukio Ohsawa, Sae Kondo, Teruaki Hayashi
• Change Explanation in Financial Markets by Graph-Based Entropy and Inter-regional Interactions 98-99
  Yosuke Nishikawa, Teruaki Hayashi, Takaaki Yoshi, Toshiaki Sugie, Yoshiyuki Nakata, Kakeru Itou, Yukio Ohsawa