AAAI-SRAI 2023
Socially Responsible AI for Well-being 2023

Table of Contents

• Summary: There were 23 papers submitted for peer-review to this workshop. Out of these, 23 papers were accepted for this volume.

Session 1: Overview

• The Challenges for Socially Responsible AI for Well-being 1-3
  Takashi Kido, Keiki Takadama
• How to Handle Wellbeing in Socially Responsible AI? - Findings from Sleep Perspective - 4-8
  Keiki Takadama

Session 2: Socially responsible AI

• Using Artificial Intelligence to Learn the Tradeoffs Made by Individual Agents in Order to Sustain Economic Well-Being 9-20
  Khalid Kattan, Robert G. Reynolds
• Quantum Intelligence: Responsible Human-AI Entities 21-31
  Melanie Swan, Renato P. dos Santos
• Limiting Inequalities in Fair Division with Additive Value Preferences for Indivisible Social Items 32-39
  Martin D. Aleksandrov

Session 3: Communication and evidence for well-being

• Combining Natural Language and Machine Learning for Predicting Survey Responses of Social Constructs in a Dyad 40-46
  Bruno Abreu Calfa, Peggy Wu, Mohammadamin Sanaei, Stephen Gilbert, Andrew Radlbeck, Brett Israelsen
• The Empathic Dialogue Generation Model Based on Emotion Cause Perception 47-48
  Yun Su, Bozhen Fan, Haoran Bian, Runhe Huang, Yunhao Zhu
• Evidence based Semantics for Reasoning beyond Your Data 49-50
  Yukio Ohsawa, Kaira Sekiguchi, Tomohide Maekawa, Hiroki Yamaguchi, Sae Kondo

Session 4: Face expresion and impression for well-being

• Introduction of Face Expression into Dialogue System for A Sense of Affinity 51-52
  Hiroki Midorikawa, Takatsugu Suzaki, Masahiro Kawamura, Masayuki Numao
• Impression prediction of package design using features of fonts and colors 53-58
  Yuna Iki, Yuji Nozaki, Haruka Matsukura, Maki Sakamoto

Session 5: Odor for well-being

• Detection of odor-related objects in images based on everyday odors in Japan 59-60
  Yuki Eda, Haruka Matsukura, Yuji Nozaki, Maki Sakamoto

Session 6: Ethical AI

• San Francisco State University Graduate Certificate in Ethical AI – overview and early experiences 61-62
  Denise Kleinrichert, Carlos Montemayor, Dragutin Petkovic

Session 7: Robot Interaction for social well-being

• Increasing Well-being through Robotic Hugs 63-72
  Oliver Bendel, Andrea Puljic, Robin Heiz, Furkan Tömen, Ivan De Paola
• How Can Bar Robots Enhance the Well-being of Guests? 73-82
  Oliver Bendel, Lea K. Peier
• Integration of Robot-Initiated Dialog into Task-Oriented Dialog by Adding Hidden Tasks - Application to Monitoring for Elderly 83-89
  Masahiro Kawamura, Takatsugu Suzaki, Masayuki Numao

Session 8: Communication and sleep for social well-being

• Processing Information Unspoken: New Insights from Crowd-Sourced Data for Sentiment Analysis and Spoken Interaction Applications 90-99
  Christina Alexandris
• State Machine-Based Multimodal Dialogue System for the Elderly Care Service 100-102
  Takatsugu Suzaki, Masayuki Numao
• Sleep Stage Estimation based on The Estimated Probability of each Sleep Stage by Learning with Specialized Models 103-110
  Iko Nakari, Keiki Takadama

Session 9: Well-being studies

• Assessing research trends and scientific advances in well-being studies 111-117
  Hiroko Yamano, Ichiro Sakata

Session 10: Information and sleep for social well-being

• Digestion Efficiency of Texts and Images in Information Transfer 118-120
  Hiroaki Koike, Teruaki Hayashi
• Thermal environment evaluation considering nap start time 121-127
  Miki Nakai, Tomoyoshi Ashikaga, Junichi Shimizu, Keiki Takadama

Session 11: Social well-being

• Artificial Intelligence is Transforming Modern Education 128-130
  Sanjay Adhikesaven, Monish Muralicharan, Abyan Das
• Social Well-Being: An Industrial Workplace Alerting and Monitoring Platform 131-133
  Sanjay Adhikesaven