A Photo of Danielle

Danielle Lottridge


PhD Candidate
Human Factors
Knowledge Media Design
Interactive Media Lab
Mechanical & Industrial Engineering
University of Toronto


5 King's College Road
Toronto, ON M5S3G8
Tel: +1 416 946 3995
danielle dot lottridge [at] utoronto dot ca

Teaching

Fall 2009

KMD1001
Fundamental Concepts in Knowledge Media Design

CCT404
Integrative Design Project


Travel

August 24-28

INTERACT09, Uppsala, Sweden

Oct 20-23

HFES, San Antonia, TX

Oct 27-30

CC09, Berkeley, CA



Featured Project


Designing for Human Emotion

Emotional reactions are a key part of the user experience with technology, and a growing concern as emotion is recognized as central to human decision-making and behaviour. My dissertation aims to deepen our understanding of how emotions change as an interaction experience unfolds, how to assess such emotions, and what patterns exist.


I feel that this work is important because it brings attention to emotion in the human factors field, and attendees include practitioners who may be able to incorporate emotion aspects in their technology evaluation practice.


a person sitting at a computer workstation close up of a slider based input device for the continuous reporting of emotional states close up of a touch screen based input device for the continuous reporting of emotional states

Lottridge, D., and Chignell, M. (2009) Emotrace: A Novel Method for Continuous Self-Reporting of Emotion, To appear in the Proceedings of the Human Factors and Ergonomics Society 53rd Annual Meeting HFES 2009, 5 pgs.



two equations related to emotional bandwidth


Lottridge, D., and Chignell, M. (2009) Emotional Bandwidth: Information Theory Analysis of Affective Response Ratings Using a Continuous Slider, Proceedings of the 12th IFIP TC13 Conference on Human-Computer Interaction INTERACT 2009, 111-114.



mean deviation graph of user response to video values

Lottridge, D., and Chignell, M. (2009) Emotional Majority Agreement: A psychometric property of affective self-report instruments, Proceedings of the IEEE Toronto International Conference - Science and Technology for Humanity TIC-STH 2009, 6 pgs.


In summary, this thesis contributes a collection of validated, usable self-report tools, empirical findings relating emotion to videos, two novel psychometric properties to characterize complex and rich rating data, individual and cultures differences, learning rates and finally, relationships and tradeoffs of emotional self-report concerning evaluation of practical real-world systems.



a tag cloud of words from the "Designing for Human Emotion: Ways of Knowing" article

This article initiates a dialogue between disciplines in the emerging field of interaction design and emotion measurement, a dialogue which is critical to advance the state of the field. We aimed to raise the current discussion from critiques of methods (e.g., quantitative versus qualitative, physiological versus self-report) to lay out a framework to appreciate epistemological differences in design approaches. We value appreciation for epistemic differences between researchers, and propose a path to facilitate collaboration: disciplined interdisciplinarity.


Lottridge, D., and Moore, G. (in press) Designing for Human Emotion: Ways of Knowing, The New Review of Hypermedia and Multimedia, 24 pgs.