Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Medhani Kalal

dblp:374/8871 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0002-7844-1853ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 77% Interaction techniques and input · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
spatial audio
0.812024
Spatial Audio-Enhanced Multimodal Graph Rendering for Efficient Data Trend Learning on Touchscreen Devices · CHI 2024
Interaction techniques and input › touch interaction
touchscreen interaction
0.212024
Spatial Audio-Enhanced Multimodal Graph Rendering for Efficient Data Trend Learning on Touchscreen Devices · CHI 2024

Methods — techniques the papers use, named apart from their topics

vibration feedback · 0.8text-to-speech · 0.8sonification · 0.8
YearPublicationVenuePosition
2024 Spatial Audio-Enhanced Multimodal Graph Rendering for Efficient Data Trend Learning on Touchscreen Devices
abstract
Touchscreen-based rendering of graphics using vibrations, sonification, and text-to-speech is a promising approach for nonvisual access to graphical information, but extracting trends from complex data representations nonvisually is challenging. This work presents the design of a multimodal feedback scheme with integrated spatial audio for the exploration of histograms and scatter plots on touchscreens. We detail the hardware employed and the algorithms used to control vibrations and sonification adjustments through the change of pitch and directional stereo output. We conducted formative testing with 5 blind or visually impaired participants, and results illustrate that spatial audio has the potential to increase the identification of trends in the data, at the expense of a skewed mental representation of the graph. This design work and pilot study are critical to the iterative, human-centered approach of rendering multimodal graphics on touchscreens and contribute a new scheme for efficiently capturing data trends in complex data representations.
Wilfredo Joshua Robinson Moore, Medhani Kalal, Jennifer L. Tennison, Nicholas A. Giudice, Jenna L. Gorlewicz
CHI2