Advances in Longitudinal HCI Research
Longitudinal studies have traditionally been seen as too cumbersome and labor-intensive to be of much use in research on Human-Computer Interaction (HCI).However, recent trends in market, legislation, and the research questions we address, have highlighted the importance of studying prolonged use, w...
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| Published in | Human-computer interaction series |
|---|---|
| Main Authors | , , , |
| Format | eBook |
| Language | English |
| Published |
Cham
Springer Nature
2021
Springer International Publishing AG Springer International Publishing |
| Edition | 1 |
| Series | Human–Computer Interaction Series |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783030673222 3030673227 3030673219 9783030673215 |
| ISSN | 1571-5035 2524-4477 2524-4477 |
| DOI | 10.1007/978-3-030-67322-2 |
Cover
Table of Contents:
- Intro -- Contents -- Introduction to "Advances in Longitudinal HCI Research" -- 1 Why Do We Need Longitudinal Research? -- 2 Defining Longitudinal Research -- 3 What This Book Covers -- References -- Part I Theoretical Perspectives -- Longitudinal Studies in HCI Research: A Review of CHI Publications From 1982-2019 -- 1 Introduction -- 2 The Challenge of Identifying Longitudinal HCI -- 3 Studying Change -- 4 Method -- 4.1 Phase 1: Identification of Publications -- 4.2 Phase 2: Retrieval of Selected Publications -- 4.3 Phase 3: Publications for Analysis -- 5 Overview of Longitudinal HCI Research -- 5.1 Study Duration: Plateauing and Evolution -- 5.2 Use of Metrics, Variables and Methods -- 5.3 Measuring or Discussing Change -- 6 Considerations for Longitudinal HCI Study Design -- 6.1 Duration Against Saturation -- 6.2 Point of Measurement: An HCI Perspective -- 6.3 Contribution Type and Research Questions -- 7 Implications for Longitudinal HCI Research -- 8 Conclusion -- References -- Longitudinal Studies in Information Systems -- 1 Introduction -- 2 The Landscape of Longitudinal Studies -- 3 Exemplars of Longitudinal Research -- 3.1 Crowd Working and Community Participation -- 3.2 Habituation of Security Warnings -- 3.3 ICT Implementation in an Indian Bank -- 3.4 Organisational Influence Processes -- 3.5 Value of Online Communities -- 3.6 Differences Between Longitudinal Studies -- 4 Key Research Design Issues -- 5 Implications -- 6 Conclusion -- References -- Part II Methods for Longitudinal HCI Research -- Recommendations for Conducting Longitudinal Experience Sampling Studies -- 1 Introduction -- 1.1 Longitudinal Experience Sampling -- 1.2 Challenges -- 2 Participant Motivation -- 2.1 Intrinsic Motivation -- 2.2 Extrinsic Motivation -- 3 Study Adherence -- 3.1 Questionnaire Scheduling -- 3.2 Study Duration -- 4 Response Reliability
- Imagining the Future of Longitudinal HCI Studies: Sensor-Embedded Everyday Objects as Subjective Data Collection Tools -- 1 Introduction -- 2 Subjective Data Collection Tools in Longitudinal Studies -- 3 Imagining the Future of SLDC Tools -- 4 Results -- 4.1 Capturing Subjective Experiences Through Objective Measures -- 4.2 Discussions Around New Directions for Subjective Data Collection -- 5 Discussions and Conclusion -- References -- Experiments, Longitudinal Studies, and Sequential Experimentation: How Using ``Intermediate'' Results Can Help Design Experiments -- 1 Introduction -- 2 Multi-armed Bandits: A Model for Sequential Experimentation -- 2.1 Bandit Problems in Practice -- 2.2 A More Formal View Toward the MAB Problem -- 2.3 Common Extensions: The cMAB Problem -- 3 Common Policies and Their Performance -- 3.1 Common Policies -- 3.2 Policy Evaluation -- 4 The Broader Use of Sequential Experimentation: Methodological Advantages and Challenges -- 4.1 Early Stopping -- 4.2 Best Arm Identification -- 4.3 Powerful Comparisons -- 4.4 Active Learning -- 4.5 Challenges of Sequential Experimentation -- 5 Sequential Experimentation in Empirical Studies: Available Software -- 5.1 Contextual -- 5.2 Streaming Bandit -- 6 Discussion, Recommendations, and Conclusions -- 6.1 Recommendations -- 6.2 Conclusions -- References -- Part III Reviews of, and Case Studies On Longitudinal HCI Research
- 2.3 Interpreting Longitudinal Tracker Data in the Real World: Missing Data, Multiple Interpretations, Human-Machine Collaborative Interpretation -- 2.4 Designing to Surface Trends at the Point of Lapsing -- 3 Theoretical Perspectives on Use of Self-tracking Technology -- 3.1 Conceptual Models of Personal Tracking Use -- 3.2 Modeling Relationships Among Stakeholders and Data in Long-Term Self-Tracking -- 3.3 Reflecting on Case Studies -- 4 Characterizing Long-Term Tracking -- 4.1 Targeted Goal -- 4.2 Typical Duration -- 4.3 Method of Tracking -- 4.4 Approach to Reflection -- 5 Discussion -- 5.1 Consider Return of Data-and Actionable Insights-To Participants -- 5.2 Anticipate and Respect Holes in the Data -- 5.3 Leverage Implicit Tracking with Secondary Sources -- 5.4 Treat Data as Subjective -- 5.5 Ethical, Legal, and Social Implications of Long-Term Tracking -- 5.6 Making These Recommendations Work Together -- 6 Conclusion -- References -- Augmenting Gestural Interactions with Mid-Air Haptic Feedback: A Case Study of Mixed-Method Longitudinal UX-Testing in the Lab -- 1 Introduction -- 2 Related Work -- 2.1 Assessing the UX of Mid-Air Haptics -- 2.2 Temporal Aspects of UX -- 2.3 Novelty Effect of Mid-Air Haptics -- 3 The Study: `Mixed-Method', `Longitudinal' and `in the Lab' -- 3.1 Apparatus -- 3.2 Participants -- 3.3 Procedure -- 3.4 UX Assessment -- 3.5 Interview -- 3.6 Results Excerpt -- 4 Reflections and Implications for Longitudinal Research -- 4.1 Planning -- 4.2 Trade-Off on Session Duration -- 4.3 Recruitment -- 4.4 Fun Factor -- 4.5 Remuneration -- 5 Conclusion and Future Research -- References -- A Six-Month, Multi-platform Investigation of Creative Crowdsourcing -- 1 Introduction -- 2 Background -- 3 Method -- 4 Results -- 5 Discussion -- 6 Limitations -- 7 Conclusion -- References
- 4.1 Use of the Crowd -- 4.2 Quality-Informed Scheduling -- 4.3 Validation Questions -- 5 Analysing Longitudinal ESM Data -- 5.1 Response Shift -- 5.2 Compliance Bias -- 5.3 Contextual Bias -- 6 Researcher Checklist -- 6.1 Overview of Recommendations -- 7 Future Trends -- 8 Conclusion -- References -- Longitudinal First-Person HCI Research Methods -- 1 Introduction -- 2 Three 'Auto-approaches' to Research and Design in HCI -- 2.1 Auto-ethnography: Living Without a Mobile Phone -- 2.2 Autobiographical Design: Capturing Memories of Family Life -- 2.3 Autobiographical Design: Living in a Prototype -- 3 Discussion and Conclusions -- References -- Tensions and Techniques in Investigating Longitudinal Experiences with Slow Technology Research Products -- 1 Introduction -- 2 Background and Approach: Research Products -- 3 Case 1: The Photobox Longitudinal Field Study -- 3.1 Field Study Method -- 3.2 Reflections on the Field Study of Photobox -- 3.3 The First Home Visits: Miscalibration of Photobox's Initial Description -- 3.4 Emergent Tensions and Skepticisms as the Field Study Progresses -- 3.5 Addressing Our Initial Misstep: Re-emphasizing the Goal and Aim of Our Longitudinal Field Study -- 3.6 The Emergence and Application of 'Maintenance Visits' -- 4 Case 2: The Olly Field Study -- 4.1 Field Study Method -- 4.2 Reflections on the Field Study of Olly -- 5 Discussion -- 5.1 Understanding Where Tensions are Occurring and What Triggers Them -- 5.2 Maintenance Visits as a Technique to Open Implicit Spaces for Dialog Over Time -- 6 Conclusion -- References -- Opportunities and Challenges for Long-Term Tracking -- 1 Introduction -- 2 Case Studies in Long-Term Tracking -- 2.1 Jasmin: A Story of Multiple Trackers -- 2.2 Joe: 9 Years of Self Tracking