Anam Ahmad Khan

schoolUniversity of Melbournebar_chart#2135 Global Rank

Total Papers

HCI Rank

#2135

Research Areas

Years Active

Recent Publications

Gaze and Speech in Multimodal Human-Computer Interaction: A Scoping Review

Multimodal interaction has long promised to make interfaces more intuitive and effective by combining complementary inputs. Among these, gaze and speech form a compelling pairing: gaze provides rapid spatial grounding, while speech conveys rich semantic information. Together, they offer rich cues for understanding use…

CHI '234th AuthorEye Tracking & Gaze Interaction +1

Classifying Head Movements to Separate Head-Gaze and Head Gestures as Distinct Modes of Input

Head movement is widely used as a uniform type of input for human-computer interaction. However, there are fundamental differences between head movements coupled with gaze in support of our visual system, and head movements performed as gestural expression. Both Head-Gaze and Head Gestures are of utility for interacti…

CHI '233rd AuthorHuman Pose & Activity Recognition +1

HotFoot: Foot-Based User Identification using Thermal Imaging

We propose a novel method for seamlessly identifying users by combining thermal and visible feet features. While it is known that users’ feet have unique characteristics, these have so far been underutilized for biometric identification, as observing those features often requires the removal of shoes and socks. As the…

CHI '221st AuthorEye Tracking & Gaze Interaction +1

Integrating Gaze and Speech for Enabling Implicit Interactions

Gaze and speech are rich contextual sources of information that, when combined, can result in effective and rich multimodal interactions. This paper proposes a machine learning-based pipeline that leverages and combines users’ natural gaze activity, the semantic knowledge from their vocal utterances and the synchronic…

CHI '221st AuthorVoice User Interface (VUI) Design +1

To Type or To Speak? The Effect of Input Modality on Text Understanding During Note-taking

Though recent technological advances have enabled note-taking through different modalities (e.g., keyboard, digital ink, voice), there is still a lack of understanding of the effect of the modality choice on learning. In this paper, we compared two note-taking input modalities—keyboard and voice—to study their effects…

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