SketchRec 2023: 3rd Workshop on Sketch Recognition Paul Taele ptaele@tamu.edu Texas A&M University College Station, Texas, USA Rachel Blagojevic R.V.Blagojevic@massey.ac.nz Massey University Palmerston North, New Zealand Tracy Hammond hammond@tamu.edu Texas A&M University College Station, Texas, USA Samantha Ray sjr45@tamu.edu Texas A&M University College Station, Texas, USA Josh Cherian jcherian14@tamu.edu Texas A&M University College Station, Texas, USA Jung In Koh jungin@tamu.edu Texas A&M University College Station, Texas, USA ABSTRACT Sketch recognition is the interpretation of hand-drawn diagrams, and seeks to understand the users’ intent while allowing them to draw unconstrained diagrams. Research in sketch recognition has been on-going for approximately half a century, and has ex- perienced iterative advances due to the difculty of the problem. As pen- and touch-capable devices such as smartphones, tablets, touch-driven monitors, and large touchscreen devices have become ubiquitous, and as emergent technologies such as virtual and aug- mented reality-driven computing technologies are becoming more advanced, sketch recognition-related research remains an open feld for researchers to explore in approaching continuing interaction and recognition challenges with these technologies. The SketchRec workshop was hosted at the ACM Annual Conference on Intelligent User Interfaces (IUI) and served the sketch recognition research community for sharing, presenting, and discussion research work that relates to the topics in the research feld. CCS CONCEPTS · Human-centered computing → Interaction techniques;· Applied computing;· Computing methodologies → Machine learning approaches; KEYWORDS sketch recognition, sketch understanding, pen input computing, document processing, design, intelligent user interfaces ACM Reference Format: Paul Taele, Rachel Blagojevic, Tracy Hammond, Samantha Ray, Josh Cherian, and Jung In Koh. 2023. SketchRec 2023: 3rd Workshop on Sketch Recogni- tion. In 28th International Conference on Intelligent User Interfaces (IUI ’23 Companion), March 27ś31, 2023, Sydney, NSW, Australia. ACM, New York, NY, USA, 3 pages. https://doi.org/10.1145/3581754.3584184 1 WORKSHOP DESCRIPTION Sketch recognition is the interpretation of hand-drawn diagrams, and seeks to understand the users’ intent while allowing them to Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for proft or commercial advantage and that copies bear this notice and the full citation on the frst page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). IUI ’23 Companion, March 27ś31, 2023, Sydney, NSW, Australia © 2023 Copyright held by the owner/author(s). ACM ISBN 979-8-4007-0107-8/23/03. https://doi.org/10.1145/3581754.3584184 draw unconstrained diagrams [3]. Research in sketch recognition has been on-going for approximately half a century, and has ex- perienced iterative advances due to the difculty of the problem. The breadth of work related to sketch recognition research encom- passes diverse algorithms [1, 15, 18], applications [2, 4, 6, 16, 17], and techniques [3, 10ś12, 14]. As pen- and touch-capable devices such as smartphones, tablets, touch-driven monitors, and large touchscreen devices have become ubiquitous, and as emergent technologies such as virtual and aug- mented reality-driven computing technologies are becoming more advanced, sketch recognition-related research remains an open feld for researchers to explore in approaching continuing interaction and recognition challenges with these technologies. The SketchRec workshop was hosted at the ACM Annual Conference on Intelligent User Interfaces (IUI) and served the sketch recognition research community for sharing, presenting, and discussion research work that relates to the topics in the research feld. 1.1 Relevance to IUI Conference Theme The SketchRec workshop strongly relates to the IUI conference’s themes in its focus on both advancing the intuitiveness of interac- tive sketching activities and the robustness of sketch recognition approaches. The workshop’s topic leverages both user experience research found in the feld of human-computer interaction (HCI) and machine learning (ML) research found in the feld of artifcial intelligence (AI). 1.2 Interest to IUI 2023 Audience The workshop targeted the interest of the IUI 2023 audience as com- puting technologies related to sketching interactions continue to be more ubiquitous and familiar. With smartphones, tablets, touch- capable monitors, and large touchscreen displays become devices of everyday occurrences, and with emergent devices such as virtual reality (VR), augmented reality (AR), and tangible-capable inter- faces growing in adoption, such devices are capable of supporting touch and pen interactions but have not yet seamlessly emulated or intelligently supported writing interactions that persist with pen-and-paper or marker-and-board interactions. These open re- search challenges provide opportunities for the sketch recognition community to reduce the gap between conventional and intelligent sketching interactions. 202