Chia-Ming Chang

schoolUniversity of Tokyobar_chart#1566 Global Rank

Total Papers

HCI Rank

#1566

Research Areas

Years Active

Recent Publications

Peeking Ahead of the Field Study: Exploring VLM Personas as Support Tools for Embodied Studies in HCI

Field studies are irreplaceable but costly, time-consuming, and error-prone, which need careful preparation. Inspired by rapid-prototyping in manufacturing, we propose a fast, low-cost evaluation method using Vision-Language Model (VLM) personas to simulate outcomes comparable to field results. While LLMs show human-l…

CHI '264th AuthorHonorable MentionExternal HMI (eHMI) — Communication with Pedestrians & Cyclists +2

Don't Worry, Just Follow Me: Prototyping and In-the-Wild Evaluation of Smart Pole Interaction Unit with Mobility

Pedestrian–automated vehicle(AV) encounters in shared spaces often involve hesitation and ambiguity. Vehicle-mounted external human–machine interfaces(eHMIs) can help, but obscured or poorly timed communications create significant challenges. To address this, we present a mobile smart pole interaction unit(SPIU) with…

AUTO_UI '245th+ AuthorExternal HMI (eHMI) — Communication with Pedestrians & Cyclists

Shrinkable Arm-based eHMI on Autonomous Delivery Vehicle for Effective Communication with Other Road Users

When employing autonomous driving technology in logistics, small autonomous delivery vehicles (aka delivery robots) encounter challenges different from passenger vehicles when interacting with other road users. We conducted an online video survey as a pre-study and found that autonomous delivery vehicles need external…

IUI '242nd AuthorHuman-LLM Collaboration +1

PDFChatAnnotator: A Human-LLM Collaborative Multi-Modal Data Annotation Tool for PDF-Format Catalogs

The document contains substantial unannotated data, necessitating extensive manual labeling efforts. To address this issue, we introduce PDFChatAnnotator, a human-LLM collaborative tool to collect multi-modal data from PDF catalogs. Initially, PDFChatAnnotator automatically employs our proposed multi-modal binding rul…

IUI '244th AuthorExplainable AI (XAI) +3

SpaceEditing: A Latent Space Editing Interface for Integrating Human Knowledge into Deep Neural Networks

Human-centered AI aims to bridge the gap between machine decision-making and human understanding. However, even for classification tasks where deep neural networks have achieved superb performance, there are currently few methods that link humans and AI well, especially on domain-specific tasks. In this paper, we prop…

MOBILEHCI '232nd AuthorGamification Design

SyncLabeling: A Synchronized Audio Segmentation Interface for Mobile Devices

Manual audio segmentation is a time-consuming process, especially when there is more than one sound playing simultaneously that needs to be segmented and annotated (e.g., target and background sounds). In conventional audio annotation interfaces, users need to repeatedly pause and replay the audio to complete an overl…

CHI '211st AuthorInteractive Data Visualization +1

Spatial Labeling: Leveraging Spatial Layout for Improving Label Quality in Non-Expert Image Annotation

Non-expert annotators (who lack sufficient domain knowledge) are often recruited for manual image labeling tasks owing to the lack of expert annotators. In such a case, label quality may be relatively low. We propose leveraging the spatial layout for improving label quality in non-expert image annotation. In the propo…

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