CHI Conference on Human Factors in Computing Systems Extended Abstracts最新文献_第9页

Toward Handling the Complexities of Non-Anthropomorphic Hands 处理非拟人化手的复杂性

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519871

Jennifer L. Molnar, Y. Mengüç

引用次数: 0

Stakeholders and Value in the NFT Ecosystem: Towards a Multi-disciplinary Understanding of the NFT Phenomenon NFT生态系统中的利益相关者和价值:对NFT现象的多学科理解

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519694

Mehmet Aydın Baytaş, Amos Cappellaro, Ylva Fernaeus

引用次数: 17

Watch Your Flavors: Augmenting People’s Flavor Perceptions and Associated Emotions based on Videos Watched while Eating 注意你的味道:根据吃饭时观看的视频来增强人们的味道感知和相关情绪

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519846

Meetha Nesam James, Nimesha Ranasinghe, Anthony Tang, L. Oehlberg

引用次数: 0

Effect of Anthropomorphic Glyph Design on the Accuracy of Categorization Tasks 拟人字形设计对分类任务准确率的影响

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519748

Aditeya Pandey, P. Bex, M. Borkin

{"title":"Effect of Anthropomorphic Glyph Design on the Accuracy of Categorization Tasks","authors":"Aditeya Pandey, P. Bex, M. Borkin","doi":"10.1145/3491101.3519748","DOIUrl":"https://doi.org/10.1145/3491101.3519748","url":null,"abstract":"Data glyphs continue to gain popularity for information communication. However, the cognition and perception theory of glyphs is largely unknown for many tasks including “categorization”. Categorization tasks are common in everyday life from sorting objects to a doctor diagnosing a patient’s disease. However it is unknown how glyph designs, specifically anthropomorphic human-like representations which in prior visualization research have demonstrated improved information recall, affect accuracy in a categorization task. To better understand how people comprehend and perceive glyphs for categorization, including anthropomorphic representations, we conducted a crowdsourced experiment to evaluate whether more human-like glyphs would lead to higher categorization accuracy. Contrary to our hypothesis, we found evidence that subjects are more accurate with a less anthropomorphic glyph. A posthoc analysis also reveals that anthropomorphic glyphs introduce biases due to their anatomically salient features. Based on these results we propose design guidelines for glyphs used in categorization tasks. The supplemental material of this paper available is on https://osf.io/3bgcv/.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132185360","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: 1

Shapeshifter: Gesture Typing in Virtual Reality with a Force-based Digital Thimble Shapeshifter:基于力的数字顶针在虚拟现实中的手势输入

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519679

Tafadzwa Joseph Dube, Kevin Johnson, A. Arif

引用次数: 4

Helping Voice Shoppers Make Purchase Decisions 帮助语音购物者做出购买决定

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519828

Gustavo Penha, Eyal Krikon, Vanessa Murdock, Sandeep Avula

{"title":"Helping Voice Shoppers Make Purchase Decisions","authors":"Gustavo Penha, Eyal Krikon, Vanessa Murdock, Sandeep Avula","doi":"10.1145/3491101.3519828","DOIUrl":"https://doi.org/10.1145/3491101.3519828","url":null,"abstract":"Online shoppers have a lot of information at their disposal when making a purchase decision. They can look at images of the product, read reviews, make comparisons with other products, do research online, read expert reviews, and more. Voice shopping (purchasing items via a Voice assistant such as Amazon Alexa or Google Assistant) is different. Voice introduces novel challenges as the communication channel is limited in terms of the amount of information people can and are willing to absorb. Because of this, the system should choose the single most effective nugget of information to help the customer, and present the information succinctly. In this paper we report on a within-subject user study (N = 24), in which we employed three template-based methods that use information from customer reviews, product attributes and search relevance signals to generate helpful supporting information. Our results suggest that: (1) supporting information from customer reviews significantly improves participants perception of system effectiveness (helping them make good decisions); (2) supporting information based on search relevance signals improves user perception of system transparency (providing insight into how the system works). We discuss the implications of our findings for providing supporting information for customers shopping by Voice.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134511964","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: 1

Programmable Peripheral Vision: augment/reshape human visual perception 可编程周边视觉:增强/重塑人类视觉感知

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3503821

Qing Zhang

引用次数: 1

Social Support in Digital Patronage: OnlyFans Adult Content Creators as an Online Community 数字赞助中的社会支持:OnlyFans成人内容创作者作为一个在线社区

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519836

Jirassaya Uttarapong, Ross Bonifacio, Rae Jereza, D. Y. Wohn

引用次数: 14

Meerkat: A Social Community Support Application for Older Adults Meerkat:老年人的社会社区支持应用程序

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519909

Tamir Mendel, Eran Toch

引用次数: 1

The LilyTiny: A Case Study in Expanding Access to Electronic Textiles LilyTiny:扩大电子纺织品准入的案例研究

CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3503579

Emily Lovell, L. Buechley, James Davis

{"title":"The LilyTiny: A Case Study in Expanding Access to Electronic Textiles","authors":"Emily Lovell, L. Buechley, James Davis","doi":"10.1145/3491101.3503579","DOIUrl":"https://doi.org/10.1145/3491101.3503579","url":null,"abstract":"The LilyTiny sewable microcontroller was created ten years ago, in an effort to make electronic textiles more accessible. At the time, e-textiles was gaining traction as a means to invite more diverse participation in computing, but financial and instructional barriers stood in the way of broader adoption. In addition, there existed a scaffolding gap between projects involving lights, batteries, and thread – and those requiring programming (i.e. leveraging the LilyPad Arduino and/or additional sensors or outputs). In an effort to expand access to electronic textiles, we designed the LilyTiny, an inexpensive, pre-programmed sewable microcontroller which controls assorted LED patterns, and which later became available for purchase through SparkFun. Alongside the LilyTiny, we released a free workshop guide for educators which details five low-cost activities that can be taught without any prior electronics experience. This paper summarizes our development of the LilyTiny and companion curriculum – and reflects on whether we met our stated goal of expanding access to electronic textiles in the decade since. We share and discuss some measures of impact, including a survey of derivative products and a multi-year analysis of sales data from the LilyTiny’s sole distributor SparkFun Electronics.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115099907","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: 1