Artificial Intelligence in HCI : 3rd International Conference, AI-HCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings / edited by Helmut Degen, Stavroula Ntoa.

Format:

Book

Contributor:

Degen, Helmut, 1964- editor.

Ntoa, Stavroula, editor.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13336

Language:

English

Subjects (All):

Artificial intelligence.

User interfaces (Computer systems).

Human-computer interaction.

Social sciences--Data processing.

Social sciences.

Education--Data processing.

Education.

Computer engineering.

Computer networks.

Electronic commerce.

Artificial Intelligence.

User Interfaces and Human Computer Interaction.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computer Engineering and Networks.

e-Commerce and e-Business.

Local Subjects:

Artificial Intelligence.

User Interfaces and Human Computer Interaction.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computer Engineering and Networks.

e-Commerce and e-Business.

Physical Description:

1 online resource (623 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

This book constitutes the refereed proceedings of the Third International Conference on Artificial Intelligence in HCI, AI-HCI 2022, which was held as part of HCI International 2022 and took place virtually during June 26 – July 1, 2022. A total of 1271 papers and 275 posters included in the 39 HCII 2022 proceedings volumes. AI-HCI 2022 includes a total of 39 papers; they are grouped thematically as follows: Human-Centered AI; Explainable and Trustworthy AI; UX Design and Evaluation of AI-Enabled Systems; AI Applications in HCI.

Contents:

Intro

Foreword

HCI International 2022 Thematic Areas and Affiliated Conferences

List of Conference Proceedings Volumes Appearing Before the Conference

Preface

3rd International Conference on Artificial Intelligence in HCI (AI-HCI 2022)

HCI International 2023

Contents

Human-Centered AI

Exploring the Design Context of AI-Powered Services: A Qualitative Investigation of Designers' Experiences with Machine Learning

1 Introduction

2 Literature Review

2.1 UX Design Practice and the Concept of a Design Material

2.2 Machine Learning as a Design Material

3 Method

3.1 Empirical Data Collection

3.2 Thematic Analysis

4 Findings

4.1 Absence of Competence

4.2 Lack of Incentive for Competence Development

4.3 Challenges Articulating Design Criteria

4.4 Mature Versus Immature Clients

4.5 Lack of Support for Ethical Concerns

4.6 Concluding Remarks

5 Discussion

6 Conclusion

References

Measuring and Predicting Human Trust in Recommendations from an AI Teammate

1 Trust in AI Teammates

2 Experimental Paradigm

3 Measures

4 Results

Promoting Human Competences by Appropriate Modes of Interaction for Human-Centered-AI

2 Methodological Approach

3 Interaction Modes

3.1 Offering Explanations and Possibilities for Exploration

3.2 Testing

3.3 Initiating and Performing Re-training

3.4 Variation of Underlying Data Sets and Methods

3.5 Flexible Sequencing or Filtering of Data Input

3.6 Identification and Comparison of Similar Cases

3.7 Refinement

3.8 Intervention

3.9 Vetoing

3.10 Critiquing

4 Conclusion and Outlook

Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities and Concerns

2 Methods.

2.1 Planning the Literature Review

3 Findings

4 Discussion and Recommendation

5 Implications for Research and Practice

6 Conclusion and Limitations

Adoption and Perception of Artificial Intelligence Technologies by Children and Teens in Education

2 Previous Work

3 Methodology

3.1 Keyword Search

3.2 Screening the Titles and Abstracts

3.3 Screening the Full Text

6 Conclusions

Analysis of the Impact of Applying UX Guidelines to Reduce Noise and Focus Attention

2 Proposal and Methodology

3 Results and Evaluation

4 Conclusions

Gamifying the Human-in-the-Loop: Toward Increased Motivation for Training AI in Customer Service

2 Related Work

3 Research Approach

4 Objectives of a Solution

5 Artifact Design and Development

6 Demonstration

7 Evaluation

8 Discussion and Conclusion

Explainable and Trustworthy AI

Dominant View and Perception of Artificial Intelligence in Developing Economy

2 Method

2.1 Participants

2.2 Instruments

3 Results

3.1 AI Powers African Economic Development

3.2 AI Systems Create More Jobs Than They Eliminate

3.3 Support for AI System Development

3.4 AI Induce Algorithmic Colonialism

3.5 Openness of AI Operation

3.6 African Readiness to Adopt AI

4 Discussion

5 Conclusion

MoReXAI - A Model to Reason About the eXplanation Design in AI Systems

2 Foundations and Related Works

2.1 Ethical Principles and Explainable Artificial Intelligence (XAI)

2.2 Semiotic Engineering

2.3 Related Works

3 The Model for Reasoning About AI Explanation Design

3.1 Model Questions

3.2 MoReXAI Structure

3.3 MoReXai Use

4 Case Study.

4.1 Case Study Planning

4.2 Model Application

4.3 Results: Talking About Explanations

5.1 About the Epistemic Character of the MoReXAI

5.2 Improvements to the MoReXAI

6 Conclusão

(De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations and Understanding Between Lay Users and Algorithmic Systems

3 Discussion/Empirical Insights

4 Conclusion

Explainable AI for Suicide Risk Assessment Using Eye Activities and Head Gestures

2 Background

3.1 Suicide Dataset Collection

3.2 Feature Extraction

3.3 Feature Selection

3.4 Statistical Analysis

3.5 Classification

4 Results and Discussion

4.1 Interpretation of Nonverbal Behavior

4.2 Classification Results

4.3 Limitations

ExMo: Explainable AI Model Using Inverse Frequency Decision Rules

3 Proposed Method

3.1 Review of the Bayesian Rule List (BRL) Algorithm

3.2 Decision Rules from TF-IDF

4 Experimental Results

4.1 Datasets

4.2 Classification Accuracy

4.3 Model Comparison

4.4 Textual Explanation

4.5 Comparison with Model-Agnostic Explanation

4.6 Execution Time

UX Design and Evaluation of AI-Enabled Systems

A Model of Adaptive Gamification in Collaborative Location-Based Collecting Systems

3 Background

3.1 Space-Time Behaviour Definitions

3.2 Game Challenge Definitions

3.3 System Setup Definitions

4 CLCS Automatic Game Challenge Recommendation

4.1 Challenge Repository Population

4.2 Challenge Difficulty Estimation

4.3 Challenge Reward Computation

4.4 Challenge Sorting

6 Conclusions and Future Work.

References

Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaces

2 Methods and Related Work

2.1 Neural Networks in Computer Vision

2.2 UI Feature Extraction

3 The Experimental Study Description

3.1 Hypotheses and Design

3.2 Material and the Input Data

3.3 Subjects and the Output Data

3.4 The Models: ANN and CNN

4.1 Descriptive Statistics

4.2 The Models' Training Time

4.3 Benchmarking the Models' MSEs

4.4 Regression Analysis for MSE

5 Discussion and Conclusion

My Tutor is an AI: The Effects of Involvement and Tutor Type on Perceived Quality, Perceived Credibility, and Use Intention

2.1 AI Tutors

2.2 The Elaboration Likelihood Model (ELM) and Computers are Social Actors (CASA)

2.3 Attribution Theory

3.1 Participants

3.2 Procedure

3.3 Stimuli

3.4 Measurement

5.1 Contributions and Implications

5.2 Limitations

Design of AI-Enabled Application to Detect Ayurvedic Nutritional Values of Edible Items and Suggest a Diet

2 Literature Review and Related Works

2.1 Understanding Ayurveda

2.2 Understanding Ayurvedic Diet System

2.3 Understanding Quantified Self

2.4 Understanding Major Determinants of Food Choice

4 Interview Study

4.1 Study Setup and Method

4.2 Results of Initial Interview Study

5 Design and Implementation

5.1 Determination of Nutritional Values and Ayurvedic Gunas for Food Items

5.2 Diet Suggestions Based on Body Type

6 Usability Testing

6.1 Task 1: Determine Your Body Type in the Application Using Quiz

6.2 Task 2: Scan Any Food Item and Determine Its Ayurvedic Nutritional Information.

6.3 Task 3: Track Your Diet and Mood in the Application

6.4 Gamification

7 Conclusion

An AI-Based Decision Support System for Quality Control Applied to the Use Case Donor Cornea

3 Decision Support System

3.1 Data

3.2 Graphical Analytic Tools

3.3 Case-Based Reasoning as a Tool for Explainability

3.4 Machine Learning Classifiers

3.5 Aggregation

3.6 Graphical User Interface

4 Evaluation

4.1 Study Set-Up

4.2 Study Execution

4.3 Study Results

5 Summary and Future Work

Design and Implementation of Platform Protocol and Client of Hakka Residential System Based on Artificial Intelligence

2.1 Application Fields of Artificial Intelligence

2.2 Hakka Houses

2.3 Smart Home System

2.4 Function of Smart Home System

2.5 Calculation Methods Used in the Experiment

3 Experiment

3.1 Selection of Experimental Research Objects

3.2 Selection of Experimental Measurement Standards

4.1 Investigation on Design Efficiency of the Two Companies

4.2 Client Utilization Survey Designed by Two Companies

5 Conclusions

Framework for User Experience Evaluation in MOOC Platforms

2 Introduction

2.1 Massive and Open Online Courses

2.2 Classification of MOOC Criteria

2.3 User Experience

2.4 Categories and Factors that Make Up the UX

2.5 UX Dimensions

3 Proposal

3.1 FUXE-MOOC Design

3.2 FUXE-MOOC Components

4 Limitations and Future Research

Appendix

Evaluation on Comfortable Arousal in Autonomous Driving Using Physiological Indexes

2 Research Objective

3 Research Method

3.1 Physiological Indexes Based on Feature Importance

3.2 Data Set and Model Creation

4 Experiment.

4.1 Participants.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Degen, Helmut Artificial Intelligence in HCI

ISBN:

3-031-05643-4