Preface
Organization
Contents
Trends in Human Work Interaction Design
Drifting Towards a New HCI Field: A Review of 10 Years of HWID Research
1 Introduction
2 Method
3 Findings
3.1 The HWID Papers
3.2 Timeline and Trends
3.3 Authorship
3.4 Collaboration
3.5 Geography
3.6 Themes, Topics, Subjects
3.7 Key HWID Concepts
4 Discussion
5 Conclusion
References
“Organized UX Professionalism” – An Empirical Study and Conceptual Tool for Scrutinizing UX Work of the Future
1 Introduction
1.1 The Relevance of Organized UX Professionalism to Human Work Interaction Design
2 Related Work
2.1 Organizations and UX
2.2 UX Occupation and UX Organizations
2.3 UX Professionals and UX Managers
2.4 Integration of UX Professionals and their Work in Organizations
3 Research Model
4 Method
4.1 Participants
4.2 Questionnaire Development, Data Collection and Analysis
5 Results
5.1 Formative Measurement Model Assessment
5.2 The Formative Model of Organized UX Professionalism
5.3 Organized UX Professionalism
5.4 Management-Minded UX Professionals
5.5 Cross Country and UX Community Findings
6 Discussion
6.1 Organized UX Professionalism
6.2 Return to the (Certified) Usability Professional?
6.3 Beyond UX Professionalism?
6.4 Future Research
7 Conclusion
References
Research on the Integration of Human-Computer Interaction and Cognitive Neuroscience
1 The Evolution of HCI
1.1 Provide Multi-modal Interaction Channels
1.2 Support Discrete and Continuous Information Exchange
1.3 Allowing for Fuzzy Interaction with Uncertainty
1.4 Owning Rich Perceptual Ability
2 Human Data and BCI
2.1 Approach to Obtain Human Data
2.2 Classification of BCI
3 Three Progressive Levels of Cognitive Neuroscience Used in HCI
3.1 Explore Neural Mechanisms Related to HCI
3.2 Improve Computer Performance Based on Neural Assessment
3.3 Direct Interaction Between Brain Signal and Computer
4 Directions of HCI Research Based on Cognitive Neuroscience
4.1 Broaden Existing Interactive Channels
4.2 Improve the Reliability of Human-Computer Cooperation
4.3 Optimize the Experience of Human-Computer Interaction
5 Conclusion
References
HCI Four Waves Within Different Interaction Design Examples
1 Introduction
2 A Snapshot on HCI: The Waves
3 Creative Design
3.1 Engines of our Ingenuity
3.2 Chindogu Philosophy
3.3 Culture Creativity and Interaction Design
4 Results
4.1 Case Study 1
4.2 Case Study 2
5 Discussion
5.1 Contribution
6 Conclusion
References
Workplace and Work Experience Analysis for Interaction Design
Design and Deployment Considerations for Ethically Advanced Technologies for Human Flourishing in the Workplace
1 Introduction
2 Literature Review
2.1 Smart Workplaces
2.2 AI and Ethics in the Workplace
2.3 The Role of Discretionary Effort
2.4 The Role of Positive Reinforcement
2.5 The Design Approach and Employee Flourishing
2.6 Employee Experience and the Role of Ethical Factors
3 Application Areas: Potential of ETHAD Technologies
3.1 Employer Intranet Employee Experience Services
3.2 Public Engagement Portals
4 Practical Encoding into ETHAD Technologies - What is Needed? How Can It Be Done?
5 Practical Deployment of Ethically Advanced Technologies
5.1 Considerations for Ethics in a High-Level View of an AI Architecture
5.2 Applying Ethical Design Principles Through a Value Engine
6 Future and Emerging Impact Areas
7 Concluding Remarks
References
The Influence of Automation and Culture on Human Cooperation
1 Introduction
2 Literature Review
2.1 Social Dilemma
2.2 Factors Affecting Cooperation
3 Method
4 Experiments 1: Machine Agent and Direct Interaction
4.1 Participants
4.2 Design and Procedure
4.3 Results
5 Experiments 2: The Influence of System Settings on Human Cooperation
5.1 Participants
5.2 Design and Procedure
5.3 Results
6 The Influence of Automation on Human Cooperation
7 The Influence of Culture on Human Cooperation
8 Discussion
References
A Socio-technical Framework for Addressing the Influence of Work Time and Income on Work Well Being
1 Introduction
2 Literature Review
2.1 Job Burnout (JBO)
2.2 Procrastination at Work (PAW)
2.3 Job Demands and Resources Model (JD-R), Work Hour and Income
2.4 Challenge and Hinderance Demands Model (CHD) and Time Perspective (TP)
2.5 Socio-technical Systems Design (STSD) Methods
3 Materials and Methods
3.1 Data Collection and Sampling
3.2 Measures of Independent Variables
3.3 Measures of Dependent Variables
4 Results
4.1 Descriptive Data
4.2 Difference Tests
4.3 The Prediction of JBO and PRO by WHPW, HI, ERII, STMP and TP
5 Discussion
5.1 Low Desire in Chinese Youth
5.2 Income as Job Resource and Reward
5.3 Work Hour and Appraisal of Time
5.4 Implications for Designing Interventions
5.5 A Framework for Context-Aware Persuasion
5.6 A Framework for Socio-technical System
6 Conclusion
References
Co-designing Prototypes for User Experience and Engagement in Automation
1 Introduction
2 Related Work
2.1 The Smart Workplaces
2.2 Participatory Design, Persona, and UX
2.3 Human Work Interaction Design
2.4 Work Domain Analysis and Abstraction Hierarchies
2.5 Future Scenario
3 Case Study Questions and Setting
3.1 Field Observations and Workshops Proposal
3.2 Workshops 1 and 2
3.3 Workshop Outcome
4 What We Learned
4.1 Operational Environment
4.2 Organisational Environment
4.3 Co-designing Workshop Settings
5 Conclusion
5.1 Limitations
5.2 Conclusion
References
Artificial Intelligence (AI) for Human Work
Mood-Based Song Recommendation System
1 Introduction
2 Related Work
3 Research Methodology
3.1 User Survey
3.2 Dataset Preparation
3.3 Emotion Detection
4 User Survey
4.1 Purpose
4.2 User Profile
4.3 Survey Result
5 Dataset Preparation
5.1 Schema of Dataset
5.2 Data Collection through Web-Scraping
5.3 Data Cleaning Process
6 Machine Learning Aspects
6.1 Relationship among Factors Considered for Recommendation of Songs
6.2 Proposed System
6.3 Emotion Detection
6.4 Algorithm to Detect Genre for the Songs based on Activity or Emotion
6.5 Filtration of Songs for Dynamic Preferences
6.6 Results
7 Web Application
7.1 Web UI Development Tools
7.2 Web UI Tabs
8 Conclusion and Future Work
References
Currency Recognition App for Visually Impaired Users in India
1 Introduction
2 Related Work
3 Peer App Review
4 Study of Indian Currency Notes
5 Research Methodology
5.1 Dataset Preparation
5.2 Currency Recognition Model Based on Machine Learning
6 Design of Proposed Currency Recognition System
6.1 Model Training
6.2 Feature Extraction
6.3 Transfer Learning
6.4 Model Deployment with TensorFlow Lite
6.5 Model Testing
7 Mobile App
7.1 Additional Features
8 Conclusion and Future Work
References
Correction to: Human Work Interaction Design
Correction to: G. Bhutkar et al. (Eds.): Human Work Interaction Design, IFIP AICT 609, https://doi.org/10.1007/978-3-031-02904-2
Author Index