Röcker, Carsten: Design Requirements for Future and Emerging Business Technologies : An Empirical Cross-Cultural Study Analyzing Technical and Psychological Requirements for Ambient Intelligence Applications in Work Environments / Carsten Röcker.

Taunusstein : Driesen 2009 (Driesen Psychologie). Zugl. : Dortmund, Technische Universität, Dissertation, 2008  - 660 S. ; 19 cm. , ISBN 978-3-86866-112-5, Softcover, 66,00 Euro.
The concept of Ambient Intelligence propagates a vision of future environments, which offer context-adapted services and assist their inhabitants in everyday activities. While intelligent office environments are likely to bring a variety of economical advantages, their implementation will also have a considerable impact on the way people work and interact in these environments. Therefore, it is most crucial to regard and involve potential users right from the beginning of the design process.
Carsten Röcker identifies the desires as well as concerns of potential end users regarding the implementation of Ambient Intelligence technologies in work environments. Based on the results of a cross-cultural user study, the author extracts general requirements for the design of intelligent office applications.
The author: born 1975; studies in electrical engineering, management, computer science and psychology; from 2001 until 2006 research associate at the Fraunhofer Institute for Integrated Information and Publication Systems (IPSI) in Darmstadt;
2007 until 2008 visting researcher at the Distributed Cognition and HCI Laboratory at the University of California in San Diego; since 2008 senior researcher at the Human-Technology Center at RWTH Aachen University; author and co-author of over 40 scientific publications in the areas of Ambient Intelligence and Intellectual Teamwork.
Aus dem Inhalt
Introduction
1.1 Ambient Intelligence in Intellectual Teamwork
1.2 Goal of the Thesis
1.3 Approach
1.4 Structure of the Thesis
Ambient Intelligence in the Business Context
2.1 From Mainframe Computers to Intelligent Objects
2.1.1 Information Processing in Work Environments
2.1.2 Current Technological Trends
2.1.3 Ambient Intelligence: Definition and Concept
2.2 Ambient Intelligence in the Production and Retail Sector
2.2.1 Computerization of Business Processes
2.2.2 New Services and Concepts
2.2.3 Today: Identification and Localization of Objects
2.2.4 Tomorrow: Smart Products and Services
2.2.5 Summary and Outlook
Research Problem and Goal
3.1 Ambient Intelligence in the Office Sector
3.1.1 Knowledge-Based Enterprises
3.1.2 Characteristics of Smart Office Environment
3.1.3 State-of-the-Art Research
3.1.4 Benefits of Ambient Intelligence
3.2 Research Problem
3.2.1 Assessment of Potential Business Impacts
3.2.2 Acceptance of Technology
3.2.3 Need for Human-Centered Design
3.3 Research Goal
3.4 Approach
Analysis of Application Scenarios
4.1 Scenario-Based Design in HCI Research
4.2 Types of Scenario Elements
4.3 Beneficial Scenario Elements
4.3.1 Communication
4.3.2 Interaction
4.3.3 Information
4.3.4 Adaptation
4.3.5 Personal Assistance
4.3.6 Office Management
4.3.7 Overview over Results
4.4 Enabling Scenario Elements
4.4.1 Automatic Identification
4.4.2 Localization
4.4.3 Automatic Data Capturing
4.4.4 Data Mining and Profiling
4.4.5 Overview over Results
4.5 Negative Scenario Elements
4.5.1 Loss of Control
4.5.2 Misuse of Data
4.5.3 System Reliability
4.5.4 Overview over Results
4.6 Summary of Results
Analysis of Potential Concerns
5.1 Introduction
5.2 Violation of Individual Privacy
5.2.1 Informational Privacy: Definition and Motives
5.2.2 Changes through Ambient Intelligence
5.2.3 Consequences for Individual Privacy
5.2.4 Data Protection Laws
5.2.5 Conclusion
5.3 Transformation of Environment and Society
5.3.1 Implications of Technology Diffusion
5.3.2 Consequences of Technology-Induced Changes
5.3.3 Conclusion
Evaluation
6.1 Introduction to Technology Adoption Research
6.1.1 Diffusion of Innovations
6.1.2 Technology Adoption in Organizations
6.1.3 Technology Adoption Theories
6.2 Related Work
6.3 Evaluation Concept
6.3.1 Scenario-Based Evaluation Approach
6.3.2 Importance of Individual Differences
6.3.3 Evaluation Goal
6.3.4 Evaluation Approach
6.3.5 Test Design
6.4 Materials and Methods
6.4.1 Evaluation Scenario
6.4.2 Questionnaire
6.4.3 Participants and Evaluation Schedule
Evaluation Results
7.1 Introduction
7.2 General Assessment of Functionalities and Concerns
7.2.1 Assessment of Beneficial Scenario Elements
7.2.2 Willingness to Provide Personal Information
7.2.3 Assessment of Potential Threats
7.2.4 Open Feedback
7.3 Analysis of Inter-Personal Differences
7.3.1 Nationality
7.3.2 Gender
7.3.3 Age
7.3.4 Computer Usage per Day
7.3.5 Computer Knowledge
7.3.6 Education
7.4 Influence of the Social Situation on the Acceptance of Beneficial Scenario Elements
7.5 Influence of the Level of Control on the Willingness to Provide Personal
Information
Analysis of User Requirements
8.1 General Assessment of Functionalities
8.1.1 Usefulness
8.1.2 Ease of Use
8.1.3 Usage Intention in Private Work Situations
8.1.4 Usage Intention in Public Work Situations
8.1.5 Summary
8.2 Willingness to Provide Personal Information
8.3 Assessment of Potential Threats
8.4 Analysis of Inter-Personal Differences
8.4.1 Nationality
8.4.2 Gender
8.4.3 Age
8.4.4 Computer Usage per Day
8.4.5 Computer Knowledge
8.4.6 Education Level
8.4.7 Summary of Inter-Personal Difference
8.5 Influence of the Social Situation on the Usage Intention
8.6 Influence of the Social Situation on the Preferred Level of Control
8.7 Influence of the Level of Control on the Willingness to Provide Personal
Information
8.8 Conclusive Summary
Conclusion and Future Research Directions
9.1 Introduction
9.2 Major Contributions
9.3 Key Findings
9.4 Directions for Future Research
9.5 Concluding Remark
Acknowledgements
Tables
Figures
References
Appendix
Appendix A: Complete Lists of Functional Scenario Elements
Appendix B: Complete Lists of Enabling Scenario Elements
Appendix C: Complete Lists of Negative Scenario Elements
Appendix D: Questionnaire
Appendix E: Summary of Open Feedback
Appendix F: Additional Data from Statistical Tests