VLDB 2026 Research / reviewers in the wild / expert
Paul D. S. Fink
dblp:272/6930
· DBLP profile ↗
8ranked-venue papers
4as first author
7since 2021 · last 2025
0000-0003-2915-1331ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 7 · 4 first-author · 6 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Light My Way: Developing and Exploring a Multimodal Interface to Assist People With Visual Impairments to Exit Highly Automated VehiclesabstractThe introduction of Highly Automated Vehicles (HAVs) has the potential to increase the independence of blind and visually impaired people (BVIPs). However, ensuring safety and situation awareness when exiting these vehicles in unfamiliar environments remains challenging. To address this, we conducted an interactive workshop with N=5 BVIPs to identify their information needs when exiting an HAV and evaluated three prior-developed low-fidelity prototypes. The insights from this workshop guided the development of PathFinder, a multimodal interface combining visual, auditory, and tactile modalities tailored to BVIP's unique needs. In a three-factorial within-between-subject study with N=16 BVIPs, we evaluated PathFinder against an auditory-only baseline in urban and rural scenarios. PathFinder significantly reduced mental demand and maintained high perceived safety in both scenarios, while the auditory baseline led to lower perceived safety in the urban scenario compared to the rural one. Qualitative feedback further supported PathFinder's effectiveness in providing spatial orientation during exiting. Luca-Maxim Meinhardt, Lina Madlin Weilke, Maryam Elhaidary, Julia von Abel, Paul D. S. Fink, Michael Rietzler, Mark Colley, Enrico Rukzio |
CHI | 5 |
| 2025 | Keeping It Clean: A VR Simulation for Dental SterilizationabstractThis paper explores the applicability of virtual reality (VR) to dental education, specifically focused on learning the routine but critical process of sterilizing dental equipment. We present a novel sterilization training prototype and evaluate the extent to which educators and practicing hygienists would implement VR training tools in the future. A survey was conducted with (N=28) dental providers and a subsequent in-person evaluation of the prototype was conducted with (N=7) educators in a dental hygienist training program. Results suggest overall positive opinions of VR for dentistry, while also offering suggestions for improving the prototype. John W. Peters, Raymond J. Perry, Katherine Kireburns, Paul D. S. Fink |
VRST | 4 |
| 2024 | Accessible Maps for the Future of Inclusive RidesharingabstractFor people who are blind and low vision (BLV), ridesharing provides an important means of independence and mobility. However, a common challenge relates to finding the vehicle when it arrives to an unanticipated location. Although coordinating with the driver for assistance is serviceable in the near term, new solutions are necessary when a human is no longer available in future automated vehicles. Therefore, this paper presents and evaluates a multisensory smartphone-based map system designed to enable nonvisual tracking of summoned vehicles. Results from a user study with (N=12) BLV users suggest that vibro-audio maps (VAMs) promote superior spatial confidence and reasoning compared to current nonvisual audio interfaces in ridesharing apps, while also being desirable and easy to use. A subsequent expert evaluation based on improvements suggested during the user study indicate the practical utility of VAMs to address both current and future wayfinding challenges for BLV travelers. Paul D. S. Fink, Hannah Milne, Anthony Caccese, Maher Alsamsam, Jacob Loranger, Mark Colley, Nicholas A. Giudice |
AutomotiveUI | 1 |
| 2024 | "X-Ray Vision" as a Compensatory Augmentation for Slowing Cognitive Map Decay in Older AdultsabstractSafe and efficient navigation often relies on the development and retention of accurate cognitive maps that include inter-landmark relations. For many older adults, cognitive maps are difficult to form and remember over time, which introduces serious challenges for independence and mobility. To address this problem, we explore an innovative compensatory augmentation solution enabling enhanced inter-landmark learning via an “X-Ray Vision” simulation. Results with (n=45) user study participants suggest superior older adult cognitive map retention over time from a single learning session with the augmentation versus a control condition without the augmentation. Furthermore, results characterize differences in decay of cognitive maps between older adults and a control of younger adults. These findings suggest important implications for future augmented reality devices and the ways in which they can be used to promote memory and independence among older adults. Christopher R. Bennett, Paul D. S. Fink, Nicholas A. Giudice |
CHI | 2 |
| 2023 | Autonomous is Not Enough: Designing Multisensory Mid-Air Gestures for Vehicle Interactions Among People with Visual ImpairmentsabstractShould fully autonomous vehicles (FAVs) be designed inclusively and accessibly, independence will be transformed for millions of people experiencing transportation-limiting disabilities worldwide. Although FAVs hold promise to improve efficient transportation without intervention, a truly accessible experience must enable user input, for all people, in many driving scenarios (e.g., to alter a route or pull over during an emergency). Therefore, this paper explores desires for control in FAVs among (n=23) people who are blind and visually impaired. Results indicate strong support for control across a battery of driving tasks, as well as the need for multimodal information. These findings inspired the design and evaluation of a novel multisensory interface leveraging mid-air gestures, audio, and haptics. All participants successfully navigated driving scenarios using our gestural-audio interface, reporting high ease-of-use. Contributions include the first inclusively designed gesture set for FAV control and insight regarding supplemental haptic and audio cues. Paul D. S. Fink, Velin D. Dimitrov, Hiroshi Yasuda, Tiffany L. Chen, Richard R. Corey, Nicholas A. Giudice, Emily S. Sumner |
CHI | 1 |
| 2023 | Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous VehiclesabstractThis work presents a novel ultrasonic haptic interface to improve nonvisual perception and situational awareness in applications such as fully autonomous vehicles. User study results (n=14) suggest comparable performance with the dynamic ultrasonic stimuli versus a control using static embossed stimuli. The utility of the ultrasonic interface is demonstrated with a prototype autonomous small-scale robot vehicle using intersection abstractions. These efforts support the application of ultrasonic haptics for improving nonvisual information access in autonomous transportation with strong implications for people who are blind and visually impaired, accessibility, and human-in-the-loop decision making. Paul D. S. Fink, Anas Abou Allaban, Omoruyi E. Atekha, Raymond J. Perry, Emily S. Sumner, Richard R. Corey, Velin D. Dimitrov, Nicholas A. Giudice |
HRI | 1 |
| 2023 | The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation
Paul D. S. Fink, Stacy A. Doore, Xue Lin 0001, Matthew Maring, Pu Zhao 0001, Aubree Nygaard, Grant Beals, Richard R. Corey, Raymond J. Perry, Katherine Freund, Velin D. Dimitrov, Nicholas A. Giudice |
Int. J. Hum. Comput. Stud. | 1 |
| 2020 | Design Guidelines for Schematizing and Rendering Haptically Perceivable Graphical Elements on Touchscreen DevicesabstractThis paper explores the viability of new touchscreen-based haptic/vibrotactile interactions as a primary modality for perceiving visual graphical elements in eyes-free situations. For touchscreen-based haptic information extraction to be both accurate and meaningful, the onscreen graphical elements should be schematized and downsampled to: (1) maximize the perceptual specificity of touch-based sensing and (2) account for the technical characteristics of touchscreen interfaces. To this end, six human behavioral studies were conducted with 64 blind and 105 blindfolded-sighted participants. Experiments 1–3 evaluated three key rendering parameters that are necessary for supporting touchscreen-based vibrotactile perception of graphical information, with results providing empirical guidance on both minimally detectable and functionally discriminable line widths, inter-line spacing, and angular separation that should be maintained. Experiments 4–6 evaluated perceptually-motivated design guidelines governing visual-to-vibrotactile schematization required for tasks involving information extraction, learning, and cognition of multi-line paths (e.g., transit-maps and corridor-intersections), with results providing clear guidance as to the stimulus parameters maximizing accuracy and temporal performance. The six empirically-validated guidelines presented here, based on results from 169 participants, provide designers and content providers with much-needed guidance on effectively incorporating perceptually-salient touchscreen-based haptic feedback as a primary interaction style for interfaces supporting nonvisual and eyes-free information access. Hari Prasath Palani, Paul D. S. Fink, Nicholas A. Giudice |
Int. J. Hum. Comput. Interact. | 2 |