Proceedings of the 2023 ACM Designing Interactive Systems Conference最新文献_第3页

MiuraKit: A Modular Hands-On Construction Kit For Pneumatic Shape-Changing And Robotic Interfaces MiuraKit:气动变形和机器人接口的模块化动手施工套件

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596108

Zhitong Cui, Shuhong Wang, Junxian Li, Shijian Luo, Alexandra Ion

引用次数: 0

Automation transparency: Designing an external HMI for autonomous passenger ferries in urban waterways 自动化透明度:为城市水道中的自动客运渡轮设计外部HMI

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596130

Vedran Simic, O. Alsos

引用次数: 0

Getting the Residents’ Attention: The Perception of Warning Channels in Smart Home Warning Systems 引起居民的注意:智能家居预警系统中预警通道的感知

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596076

Steffen Haesler, Marc Wendelborn, Christian Reuter

引用次数: 0

Creating Design Resources to Scaffold the Ideation of AI Concepts 创造设计资源来支撑AI概念的构思

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596058

Nur Yildirim, C. Oh, Deniz Sayar, Kayla Brand, Supritha Challa, Violet Turri, Nina Crosby Walton, Anna Elise Wong, J. Forlizzi, James Mccann, J. Zimmerman

引用次数: 6

Attachment-Informed Design: Digital Interventions That Build Self-Worth, Relationships, and Community in Support of Mental Health 依恋知情设计:建立自我价值、关系和支持心理健康的社区的数字干预

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596009

Gabriela Marcu, Jina Huh-Yoo

引用次数: 0

Relevance, Effort, and Perceived Quality: Language Learners’ Experiences with AI-Generated Contextually Personalized Learning Material 相关性、努力和感知质量:语言学习者使用人工智能生成的情境个性化学习材料的体验

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596112

Fiona Draxler, Albrecht Schmidt, Lewis L. Chuang

{"title":"Relevance, Effort, and Perceived Quality: Language Learners’ Experiences with AI-Generated Contextually Personalized Learning Material","authors":"Fiona Draxler, Albrecht Schmidt, Lewis L. Chuang","doi":"10.1145/3563657.3596112","DOIUrl":"https://doi.org/10.1145/3563657.3596112","url":null,"abstract":"Artificial intelligence has enabled scalable auto-creation of context-aware personalized learning materials. However, it remains unclear how content personalization shapes the learners’ experience. We developed one personalized and two non-personalized, crowdsourced versions of a mobile language learning app: (1) with personalized auto-generated photo flashcards, (2) the same flashcards provided through crowdsourcing, and (3) manually generated flashcards based on the same photos. A two-week in-situ study (n = 64) showed that learners assessed the quality of the non-personalized auto-generated material to be on par with manually generated material, which means that auto-generation is viable. However, when the auto-generation was personalized, the learners’ quality rating was significantly lower. Further analyses suggest that aspects such as prior expectations and required efforts must be addressed before learners can actually benefit from context-aware personalization with auto-generated material. We discuss design implications and provide an outlook on the role of content personalization in AI-supported learning.","PeriodicalId":259076,"journal":{"name":"Proceedings of the 2023 ACM Designing Interactive Systems Conference","volume":"349 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing a Sustainable Material for 3D Printing with Spent Coffee Grounds 设计一个可持续的材料3D打印用废咖啡渣

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3595983

Cofee Grounds, Michael L. Rivera, S. Bae, S. Hudson

{"title":"Designing a Sustainable Material for 3D Printing with Spent Coffee Grounds","authors":"Cofee Grounds, Michael L. Rivera, S. Bae, S. Hudson","doi":"10.1145/3563657.3595983","DOIUrl":"https://doi.org/10.1145/3563657.3595983","url":null,"abstract":"The widespread adoption of 3D printers exacerbates existing environmental challenges as these machines increase energy consumption, waste output, and the use of plastics. Material choice for 3D printing is tightly connected to these challenges, and as such researchers and designers are exploring sustainable alternatives. Building on these efforts, this work explores using spent coffee grounds as a sustainable material for prototyping with 3D printing. This material, in addition to being compostable and recyclable, can be easily made and printed at home. We describe the material in detail, including the process of making it from readily available ingredients, its material characteristics and its printing parameters. We then explore how it can support sustainable prototyping practices as well as HCI applications. In reflecting on our design process, we discuss challenges and opportunities for the HCI community to support sustainable prototyping and personal fabrication. We conclude with a set of design considerations for others to weigh when exploring sustainable materials for 3D printing and prototyping.","PeriodicalId":259076,"journal":{"name":"Proceedings of the 2023 ACM Designing Interactive Systems Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124583185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Wear Your Heart on Your Sleeve: Using Digital Knitting Machines to Craft Wearable Biodata Portraits 把你的心穿在袖子上:使用数字针织机制作可穿戴的生物数据肖像

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596007

L. Jones, Greta Grip, Sara Nabil

引用次数: 1

A Neural Network-based Low-cost Soft Sensor for Touch Recognition and Deformation Capture 一种基于神经网络的低成本触摸识别与变形捕获软传感器

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3595963

Yifan Fan, N. Pietroni, Sam Ferguson

引用次数: 0

From Discovery to Adoption: Understanding the ML Practitioners’ Interpretability Journey 从发现到采用:理解机器学习从业者的可解释性之旅

Proceedings of the 2023 ACM Designing Interactive Systems Conference Pub Date : 2023-07-10 DOI: 10.1145/3563657.3596046

Narges Ashtari, Ryan Mullins, Crystal Qian, James Wexler, Ian Tenney, Mahima Pushkarna

{"title":"From Discovery to Adoption: Understanding the ML Practitioners’ Interpretability Journey","authors":"Narges Ashtari, Ryan Mullins, Crystal Qian, James Wexler, Ian Tenney, Mahima Pushkarna","doi":"10.1145/3563657.3596046","DOIUrl":"https://doi.org/10.1145/3563657.3596046","url":null,"abstract":"Models are interpretable when machine learning (ML) practitioners can readily understand the reasoning behind their predictions. Ironically, little is known about the ML practitioners’ experience of discovering and adopting novel interpretability techniques in production settings. In a qualitative study with 18 practitioners at a large technology company working with text data, we found that despite varied tasks, practitioners experienced nearly identical challenges related to interpretability methods in model analysis workflows. These stem from problem formulation, the social nature of interpretability investigations, and non-standard practices in cross-functional organizational contexts. A follow-up examination of early-stage design probes with seven practitioners suggests that self-reported experts are “perpetual intermediates”, who can benefit from regular, responsive, and in-situ education about interpretability methods across workflows, regardless of prior experience with models, analysis tools, or interpretability techniques. From these findings, we emphasize the need for multi-stage support for learning of interpretability methods for real-world NLP applications.","PeriodicalId":259076,"journal":{"name":"Proceedings of the 2023 ACM Designing Interactive Systems Conference","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115079466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0