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6 results on '"Chi, E. H."'

1. Systems and methods for personalized search

Author

CHI E. H, GASPARETTI, FABIO, CHI E., H, and Gasparetti, Fabio

Abstract

Publication date: 2006-11-02 Classification: - international: G06F17/30; G06F17/30; - european: G06F17/30W1F Application number: US20050200557 20050809 Priority number(s): US20050200557 20050809; US20050676462P 20050429

Published
2006

2. Introducing the ambivalent socialiser

Author

Chi, E H, Hook, K, Konstan, J A, Ploderer, Bernd, Smith, Wally, Howard, Steve, Pearce, Jon, Borland, Ron, Chi, E H, Hook, K, Konstan, J A, Ploderer, Bernd, Smith, Wally, Howard, Steve, Pearce, Jon, and Borland, Ron

Abstract

Social interaction can be a powerful strategy for persuasive technology interventions, yet many users are reluctant to engage with others online because they fear pressure, failure and shame. We introduce the 'ambivalent socialiser', a person who is simultaneously keen but also reluctant to engage with others via social media. Our contribution is to identify four approaches to introducing sociality to ambivalent socialisers: structured socialising, incidental socialising, eavesdropping and trace sensing. We discuss the rationale for these approaches and show how they address recent critiques of persuasive technology. Furthermore, we provide actionable insights for designers of persuasive technology by showing how these approaches can be implemented in a social media application.

Published
2012

3. Food and interaction design: designing for food in everyday life

Author

Chi, E H, Hook, K, Konstan, J A, Comber, Rob, Ganglbauer, Eva, Choi, Jaz, Jettie, Hoonhout, Rogers, Yvonne, O'Hara, Kenton, Maitland, Julie, Chi, E H, Hook, K, Konstan, J A, Comber, Rob, Ganglbauer, Eva, Choi, Jaz, Jettie, Hoonhout, Rogers, Yvonne, O'Hara, Kenton, and Maitland, Julie

Abstract

Food and interaction design presents an interesting challenge to the HCI community in attending to the pervasive nature of food, the socio-cultural differences in food practices and a changing global foodscape. To design for meaningful and positive interactions it is essential to identify daily food practices and the opportunities for the design of technology to support such practices. This workshop brings together a community of researchers and practitioners in human-food interaction to attend to the practical and theoretical difficulties in designing for human-food interactions in everyday life. Through a practical field study and workshop we explore themes of food experiences, health and wellbeing, sustainability and alternative food cultures.

Published
2012

4. Welcome to CHI 2012!

Author

Konstan, J. A., Chi, E. H., Höök, Kristina, Konstan, J. A., Chi, E. H., and Höök, Kristina

Abstract

Part of proceedings: ISBN 978-1-4503-1015-4QC 20220127

Published
2012

5. End-user interactions with intelligent and autonomous systems

Author

Margaret Burnett, Weng-Keen Wong, Volkmar Pipek, Simone Stumpf, Konstan, J. A., Chi, E. H., and Höök, K.

Subjects
QA75, World Wide Web, End user, Computer science, Human–computer interaction, Personalization
Abstract

Systems that learn from or personalize themselves to users are quickly becoming mainstream yet interaction with these systems is limited and often uninformative for the end user. This workshop focuses on approaches and challenges to explore making these systems transparent, controllable and ultimately trustworthy to end users. The aims of the workshop are to help establish connections among researchers and industrial practitioners using real-world problems as catalysts to facilitate the exchange of approaches, solutions, and ideas about how to better support end users.

Published
2012

6. Tell me more?: the effects of mental model soundness on personalizing an intelligent agent

Author

Simone Stumpf, Irwin Kwan, Todd Kulesza, Margaret Burnett, Konstan, J. A., Chi, E. H., and Höök, K.

Subjects
Soundness, QA75, Computer science, End user, media_common.quotation_subject, 05 social sciences, 020207 software engineering, 02 engineering and technology, Recommender system, computer.software_genre, Personalization, World Wide Web, Intelligent agent, Empirical research, Debugging, Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, computer, 050107 human factors, media_common
Abstract

What does a user need to know to productively work with an intelligent agent? Intelligent agents and recommender systems are gaining widespread use, potentially creating a need for end users to understand how these systems operate in order to fix their agent's personalized behavior. This paper explores the effects of mental model soundness on such personalization by providing structural knowledge of a music recommender system in an empirical study. Our findings show that participants were able to quickly build sound mental models of the recommender system's reasoning, and that participants who most improved their mental models during the study were significantly more likely to make the recommender operate to their satisfaction. These results suggest that by helping end users understand a system's reasoning, intelligent agents may elicit more and better feedback, thus more closely aligning their output with each user's intentions.

Published
2012

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