Cristina Conati

schoolUniversity of British Columbiabar_chart#2678 Global Rank

Total Papers

HCI Rank

#2678

Research Areas

Years Active

Recent Publications

Envisioning AI Support during Semi-Structured Interviews Across the Expertise Spectrum

Semi-structured interviews are a critical qualitative method in many areas, including CSCW and HCI, enabling researchers to uncover deep contextualized insights. Using this flexible method, interviewers must adapt to interviewees' responses while adhering to the protocol, necessitating strong active listening and real…

IUI '22CorrespondingProgramming Education & Computational Thinking +2

An Intelligent Pedagogical Agent to Foster Computational Thinking in Open-Ended Game Design Activities

Free-form Game-Design (GD) environments show promise in fostering Computational Thinking (CT) skills at a young age. However, such environments can be challenging to some students due to their highly open-ended nature. Our long-term goal is to alleviate this difficulty via agents that can monitor the student interacti…

IUI '19CorrespondingRecommender System UX +2

The Role of User Differences in Customization: A Case Study in Personalization for Infovis-Based Content

Although there is extensive evidence that personalization of interactive systems can improve the user’s experience and satisfaction, it is also known that the two main approaches to deliver personalization, namely via customization or system-driven adaptation, have limitations. In particular, many users do not use cus…

IUI '193rd AuthorExplainable AI (XAI) +1

To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Music Recommendations

Recommender systems have been increasingly used in online services that we consume daily, such as Facebook, Netflix, YouTube, and Spotify. However, these systems are often presented to users as a ``black box'', i.e. the rationale for providing individual recommendations remains unexplained to users. In recent years, v…

IUI '182nd AuthorInteractive Data Visualization +1

User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter

In this paper we present results from an exploratory user study to uncover which user characteristics (e.g., perceptual speed, verbal working memory, etc.) play a role in how users process textual documents with embedded visualizations (i.e., Magazine Style Narrative Visualizations). We present our findings as a step…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/22817?source=all