Decision-Making Experiences of Parents of Young Children

Decision-Making Experiences of Parents of Young Children 2020-11-26T10:19:16+00:00

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22nd October at  1-2pm

MVB room 3.44

Susanne Kirchner

Sufficient Reason: Machine Learning Bias and the Artificial Intelligence Explainability Toolkit

ABSTRACT: Parenting comes with many responsibilities, one of which is making ongoing decisions affecting a child’s health. While today’s parents have access to an abundance of parenting advice and data—both offline and online—little is known about their lived experience with these resources and how it interacts with other aspects of decision-making like intuition. Drawing on a survey of 65 parents and interviews with 12 parents of children aged 0-5 in the United States, we provide the following contributions: an analysis of parents’ experiences and needs when using different resources to make health and wellbeing decisions for their child; a definition of parents’ lived experiences with intuition throughout the decision-making process; and a discussion of tensions and opportunities for designing in this sensitive space. Our findings can inform new design directions for interactive technology-based parenting support, particularly the potential to consider intuition and make parenting information and data more socially oriented.

Biography: to be added

Forthcoming Seminars

Pedro Lopes – 3rd December
Integrating interactive devices with the body

Previous Seminars

Susanne Kirchner – 22nd October
This just felt to me like the right thing to do”: Decision-Making Experiences of Parents of Young Children
Ana Javornik – 5th November
Augmented reality mirror and the self
Petr Slovak – 30th January
Smart toys and Alexa-driven parenting
Prof Markus Löchtefeld – 9th January
Prototyping Transparent and Flexible Electrochromic Displays
Emilie Giles – 14th February
Weaving Lighthouses and Stitching Stories
Michael Proulx – 28th February
The role of visual experience for spatial cognition
Alan Dix – 17th January
Sufficient Reason: Machine Learning Bias and the Artificial Intelligence Explainability Toolkit
Marc Teyssier – 3rd December at 2-3pm
Robotics-augmented Smartphones
Duncan Brumby – 29th November at 1-2pm
Reflections on the Value of HCI Research Training
Audrey Girouard – 25th October at 1-2pm
Deformable user interactions: techniques and applications
Joel Eaton – 6th September 1-2pm
Building creative systems for users with severe motor disabilities
Marcos Serrano and Sandra Bardot – 10th July, 11-12pm
Facilitating interaction with large data spaces: novel devices and non-visual techniques