Learning and Working

会議の名前
CHI 2024
Learning from Hybrid Craft: Investigating and Reflecting on Innovating and Enlivening Traditional Craft through Literature Review
要旨

The key to preserving traditional crafts lies in living transmission, which is inseparable from sustaining artistic production, audience consumption, and progressive innovation with the physical media. As HCI researchers, we focus on the hybrid crafts field, which involves numerous cross-disciplinary integration cases between traditional craftsmanship and digital technology at the physical level, providing inspiration for innovating and enlivening traditional crafts. We conducted a multi-perspective review of 85 hybrid craft articles related to traditional crafts over the past decade, considering aspects such as craft categories, digital technology, target users, and research areas. Through reflection, we propose a design framework for fostering innovation and revitalizing traditional crafts. This paper aims to offer insight into the innovation and enlivenment of traditional crafts through a hybrid craft perspective while also serving as a first review of the hybrid craft field from the traditional craftsmanship perspective.

著者
Guanhong Liu
Tongji University, Shanghai, China
Qingyuan Shi
Communication University of China, Beijing, China
Yuan Yao
School of Architecture and Design, Beijing, Beijing, China
Yuan-Ling Feng
Tsinghua University, Beijing, Haidian, China
Tianyu Yu
Tsinghua University, Beijing, China
Beituo Liu
Academy of Arts & Design,Tsinghua University, Beijing, China
Zhijun Ma
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Li Huang
Tsinghua University, Beijing, China
Yuting Diao
Tsinghua university, Beijing, China
論文URL

https://doi.org/10.1145/3613904.3642205

動画
Contrasting Perspectives of Workers: Exploring Labor Relations in Workplace Automation and Potential Interventions
要旨

Many emerging technologies are expected to reconfigure workplaces, and serious concerns have already been raised about their impact on workers, especially those who are already precarious. This study explores what roles designers can play to address power issues regarding workplace automation. Following Marxist researchers addressing the importance of analyzing “struggle” as an event that reveals power relations in workplaces, this study examines conflicting views between stakeholders regarding the value of newly adopted robots, and the value of the human labor that the robots could displace. In this study, workers---even those who perform the same tasks---have conflicting views regarding how their work can be automated: the collective voice of workers is not naturally formed. This observation can be seen as closely related to the weakened solidarity among workers not only in the US but internationally, due to the neoliberal restructuring of labor market and corporations. Considering the unique countervailing power of worker solidarity, this study proposes a new role for designers: facilitator of “inclusive collective imaginaries” by bridging workers’ divided opinions, addressing the importance of inclusive solidarity, and mobilizing them to successfully contribute to shaping automation technologies as a way to intervene in automation-related issues.

著者
Hee Rin Lee
Michigan State University, East Lansing, Michigan, United States
論文URL

https://doi.org/10.1145/3613904.3642907

動画
Designing Instructions using Self-Determination Theory to Improve Motivation and Engagement for Learning Craft
要旨

Recent HCI research has shown significant interest in investigating digital working instructions for guiding novices to perform manual tasks. While performance enhancement has been a primary focus, it is increasingly recognized that technology's impact extends beyond objective metrics. Trainee motivation and engagement plays a pivotal role in enhancing learning outcomes and effectiveness. This paper investigates the utilization of principles from Self Determination Theory--clear attainable goals, meaningful rationale, and perspective taking--in designing multimedia instructions to enhance novice users' indicators of psychological well-being. We present findings from an experiment involving real-world woodworking, where novice users, in a between-subjects study, followed interactive, in-situ projection-based guidance. Results demonstrate that adhering to SDT postulates can positively influence perceived competence, intrinsic motivation and task execution quality. These findings offer valuable insights for designing digital instructions to guide and train novices, emphasizing the importance of psychological well-being alongside task performance.

著者
Hitesh Dhiman
Institute Industrial IT, OWL University of Applied Sciences and Arts, Lemgo, Germany
Gustavo Alberto. Rovelo Ruiz
Hasselt University - tUL - Flanders Make, Hasselt, Belgium
Raf Ramakers
Flanders Make - Expertise Centre for Digital Media, Hasselt, Belgium
Danny Leen
Flanders Make - Expertise Centre for Digital Media, Diepenbeek, Belgium
Carsten Röcker
OWL University of Applied Sciences and Arts, Lemgo, Germany
論文URL

https://doi.org/10.1145/3613904.3642136

動画
SharedNeRF: Leveraging Photorealistic and View-dependent Rendering for Real-time and Remote Collaboration
要旨

Collaborating around physical objects necessitates examining different aspects of design or hardware in detail when reviewing or inspecting physical artifacts or prototypes. When collaborators are remote, coordinating the sharing of views of their physical environment becomes challenging. Video-conferencing tools often do not provide the desired viewpoints for a remote viewer. While RGB-D cameras offer 3D views, they lack the necessary fidelity. We introduce SharedNeRF, designed to enhance synchronous remote collaboration by leveraging the photorealistic and view-dependent nature of Neural Radiance Field (NeRF). The system complements the higher visual quality of the NeRF rendering with the instantaneity of a point cloud and combines them through carefully accommodating the dynamic elements within the shared space, such as hand gestures and moving objects. The system employs a head-mounted camera for data collection, creating a volumetric task space on the fly and updating it as the task space changes. In our preliminary study, participants successfully completed a flower arrangement task, benefiting from SharedNeRF's ability to render the space in high fidelity from various viewpoints.

受賞
Honorable Mention
著者
Mose Sakashita
Microsoft Research, Redmond, Washington, United States
Bala Kumaravel
Microsoft Research, Redmond, Washington, United States
Nicolai Marquardt
Microsoft Research, Redmond, Washington, United States
Andrew D. Wilson
Microsoft Research, Redmond, Washington, United States
論文URL

https://doi.org/10.1145/3613904.3642945

動画
Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild
要旨

Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing and artificial intelligence algorithms to collect rich data about learning activities that unfold in physical spaces. The analysis of these data is opening exciting new avenues for both studying and supporting learning. Yet, practical and logistical challenges commonly appear while deploying MMLA innovations “in-the-wild”. These can span from technical issues related to enhancing the learning space with sensing capabilities, to the increased complexity of teachers’ tasks. These practicalities have been rarely investigated. This article addresses this gap by presenting a set of lessons learnt from a 2-year human-centred MMLA in-the-wild study conducted with 399 students and 17 educators in the context of nursing education. The lessons learnt were synthesised into topics related to (i) technological/physical aspects of the deployment; (ii) multimodal data and interfaces; (iii) the design process; (iv) participation, ethics and privacy; and (v) sustainability of the deployment.

著者
Roberto Martinez-Maldonado
Monash University, Melbourne, Victoria, Australia
Vanessa Echeverria
Monash University, Clayton, Australia
Gloria Milena. Fernandez-Nieto
Monash University, Melbourne, VIC, Australia
Lixiang Yan
Monash, Clayton, Victoria, Australia
Linxuan Zhao
Monash university, Melbourne, VIC, Australia
Riordan Alfredo
Monash University, Melbourne, Victoria, Australia
Xinyu Li
Monash University, Clayton, Victoria, Australia
Samantha Dix
Monash University, Frankston, VIC, Australia
Hollie A. Jaggard
Monash University, Frankston, VIC, Australia
Rosie Wotherspoon
Monash University, Frankston, VIC, Australia
Abra Osborne
Monash University, Frankston, VIC, Australia
Simon Buckingham Shum
University of Technology Sydney, Sydney, New South Wales, Australia
Dragan Gasevic
Monash University, Clayton, Victoria, Australia
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