Databiting: Lightweight, Transient, and Insight Rich Exploration of Personal Data

Bradley Rey, Bongshin Lee, Eun Kyoung Choe, Pourang Irani

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

As mobile and wearable devices are becoming increasingly powerful, access to personal data is within reach anytime and anywhere. Currently, methods of data exploration while on-the-go and in-situ are, however, often limited to glanceable and micro visualizations, which provide narrow insight. In this article, we introduce the notion of databiting, the act of interacting with personal data to obtain richer insight through lightweight and transient exploration. We focus our discussion on conceptualizing databiting and arguing its potential values. We then discuss five research considerations that we deem important for enabling databiting: contextual factors, interaction modalities, the relationship between databiting and other forms of exploration, personalization, and evaluation challenges. We envision this line of work in databiting could enable people to easily gain meaningful personal insight from their data anytime and anywhere.

Original languageEnglish
Pages (from-to)65-72
Number of pages8
JournalIEEE Computer Graphics and Applications
Volume44
Issue number2
DOIs
Publication statusPublished - 2024 Mar 1

Bibliographical note

Publisher Copyright:
© 1981-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

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