Personal Intelligent User Interfaces 2008 - Development of a methodology framework to evaluate technologies in order to define high potential use cases

Table of Contents

1 Introduction

1.1 Scenario

1.2 Problem Setting and Goals

1.3 Structural Overview of the Thesis

2 Delimitation and Conceptual Definitions

2.1 Strategic Technology Management

2.2 Methods of Strategic Technology Management

2.2.1 Technology Forecasting

2.2.1.1 Expert Panel

2.2.1.2 Scanning and Monitoring

2.2.1.3 Patent and Literature Analysis

2.2.1.4 Trend Impact Analysis

2.2.1.5 Gap Analysis

2.2.1.6 Scenario Analysis

2.2.2 The Gardner Hype Cycle

2.2.3 Technology Assessment

2.3 Personal Intelligent User Interface

2.3.1 Definition Human-Computer Interaction

2.3.2 Definition of User Interface

2.3.3 Definition of Intelligent User Interface

2.3.4 Definition of Personal Intelligent User Interfaces

3 Development of the user requirement framework

3.1 Usability

3.2 Analysis of existing usability standards

3.2.1 The technology user requirements framework

3.2.2 Use case development

4 User interfaces and technologies

4.1 Affective Computing

4.2 Virtual Reality

4.3 Mixed Reality - Augmented Reality

4.3 Chip Implants for Identification

4.4 Brain-Computer Interface

4.5 Displays

4.5.1 Electronic Ink and Digital Paper

4.5.2 Retinal Displays

4.6 Gaze Tracking

4.7 Gesture Recognition

4.8 Handwriting

4.8.1 Handwriting Capture

4.8.2 Natural Handwriting Recognition

4.9 Haptic Interfaces

4.10 Intelligent Agents

4.11 Location Sensing

4.12 Machine Translation

4.13 Natural Language Search

4.14 Speech Recognition

4.15 Speech-to-Speech Translation

4.16 Synthetic Characters

4.17 Telepresence

4.18 Text-to-Speech Synthesis

4.19 Wearable Computers

5. Conclusion

5.1 Summary

5.2 Outlook

Objectives and Research Themes

The primary objective of this thesis is to provide a strategic methodology framework for evaluating next-generation user interface technologies to define high-potential use cases for the ICT market. The work addresses the challenge of navigating the rapidly evolving landscape of personal intelligent user interfaces (PIUIs) by bridging the gap between strategic technology management and practical usability evaluation.

• Development of a user requirements framework for PIUI technologies.
• Application of strategic technology management tools, including technology forecasting and scenario analysis.
• In-depth usability assessment using relevance and fulfilment metrics.
• Identification of high-potential use cases for PIUIs in the period leading up to 2008.
• Evaluation of next-generation interface technologies, such as affective computing, gaze tracking, and brain-computer interfaces.

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Chapter Summaries

1 Introduction: Provides an overview of the ICT market evolution and defines the thesis's goal of establishing a strategic toolkit for technology forecasting and usability evaluation.

2 Delimitation and Conceptual Definitions: Establishes the theoretical foundation by defining key concepts in strategic technology management, technology forecasting, and the domain of intelligent user interfaces.

3 Development of the user requirement framework: Details the creation of a framework to evaluate technologies based on usability standards, culminating in the definition of high-potential use cases.

4 User interfaces and technologies: Presents an in-depth analysis of specific interface technologies, assessing their user requirements, adoption timelines, and potential applications.

5. Conclusion: Summarizes the thesis findings, confirms the framework's validity through real-world examples, and provides an outlook on future research needs for PIUIs.

Key Words

Personal Intelligent User Interfaces, Strategic Technology Management, Usability Evaluation, Technology Forecasting, Human-Computer Interaction, Affective Computing, Wearable Computers, Gap Analysis, Scenario Method, Gartner Hype Cycle, Information and Communication Technology, Intelligent Agents, User Requirement Framework, Market Adoption, Ubiquity.

Frequently Asked Questions

What is the core focus of this thesis?

The work focuses on the development of a methodology framework to evaluate next-generation user interface technologies, specifically targeting personal intelligent user interfaces (PIUIs) to identify high-potential business use cases.

What are the primary thematic fields covered?

The research integrates strategic technology management, usability engineering, technology forecasting, and the specific technological domain of intelligent user interfaces (IUIs).

What is the main objective of the proposed framework?

The objective is to provide a "toolkit" for managers and developers to assess the maturity and usability of new technologies, ensuring they align with user needs and market readiness.

Which scientific methods are employed?

The methodology utilizes expert panels, scenario analysis, patent and literature research, and a "Fulfilment Relevance Gap" (FRG) model to quantitatively assess the maturity of specific technologies.

What topics are discussed in the main part?

The main part provides detailed descriptions, requirement profiles, and time-to-plateau assessments for 19 specific technologies, including affective computing, gesture recognition, and brain-computer interfaces.

Which keywords best describe this research?

Key terms include PIUI, Strategic Technology Management, Usability Standards, Technology Forecasting, and Human-Computer Interaction.

How does the author evaluate the maturity of a technology?

The author uses a spider-graph based on six requirement dimensions (utility, adaptability, responsiveness, attractiveness, privacy, and human senses) to measure the gap between user requirements and current technological fulfilment.

What is a key conclusion regarding privacy?

The thesis identifies privacy as a critical barrier to user acceptance; if next-generation interfaces cannot guarantee personal data security, they will likely fail in the mass market.

What serves as the "proof of concept" for the research?

The author highlights the "Affective Diary" project by the Swedish Institute of Computer Science, noting that its features align with the use cases developed within this thesis, thus validating the research's predictions.