Brave New GES World: A Systematic Literature Review of Gestures and Referents in Gesture Elicitation Studies

Author:

Villarreal-Narvaez Santiago1ORCID,Sluÿters Arthur2ORCID,Vanderdonckt Jean2ORCID,Vatavu Radu-Daniel3ORCID

Affiliation:

1. Univ. of Namur and Université catholique de Louvain, Belgium

2. Université catholique de Louvain, Belgium

3. Ştefan cel Mare University of Suceava, Romania

Abstract

How do we determine highly effective and intuitive gesture sets for interactive systems tailored to end users’ preferences? A substantial body of knowledge is available on this topic, among which gesture elicitation studies stand out distinctively. In these studies, end users are invited to propose gestures for specific referents, which are the functions to control for an interactive system. The vast majority of gesture elicitation studies conclude with a consensus gesture set identified following a process of consensus or agreement analysis. However, the information about specific gesture sets determined for specific applications is scattered across a wide landscape of disconnected scientific publications, which poses challenges to researchers and practitioners to effectively harness this body of knowledge. To address this challenge, we conducted a systematic literature review and examined a corpus of N = 267 studies encompassing a total of 187,265 gestures elicited from 6,659 participants for 4,106 referents. To understand similarities in users’ gesture preferences within this extensive dataset, we analyzed a sample of 2,304 gestures extracted from the studies identified in our literature review. Our approach consisted of (i) identifying the context of use represented by end users, devices, platforms, and gesture sensing technology; (ii) categorizing the referents; (iii) classifying the gestures elicited for those referents; and (iv) cataloging the gestures based on their representation and implementation modalities. Drawing from the findings of this review, we propose guidelines for conducting future end-user gesture elicitation studies.

Funder

Wallonie-Bruxelles-International (WBI), Belgium

UEFISCDI, Romania

Santiago Villarreal-Narvaez and Jean Vanderdonckt

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference412 articles.

1. Jason Alexander , Teng Han , William Judd , Pourang Irani , and Sriram Subramanian . 2012 . Putting your best foot forward: Investigating real-world mappings for foot-based gestures . In Proceedings of the ACM Conference on Human Factors in Computing Systems(CHI’12) . ACM, New York, NY, 1229–1238. DOI:10.1145/2 207676.2208575 10.1145/2207676.2208575 Jason Alexander, Teng Han, William Judd, Pourang Irani, and Sriram Subramanian. 2012. Putting your best foot forward: Investigating real-world mappings for foot-based gestures. In Proceedings of the ACM Conference on Human Factors in Computing Systems(CHI’12). ACM, New York, NY, 1229–1238. DOI:10.1145/2207676.2208575

2. Abdullah X. Ali , Meredith Ringel Morris , and Jacob O. Wobbrock . 2018. Crowdsourcing similarity judgments for agreement analysis in end-user elicitation studies . In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (UIST’18) . ACM, New York, NY, 177–188. DOI:10.1145/3242587.3242621 10.1145/3242587.3242621 Abdullah X. Ali, Meredith Ringel Morris, and Jacob O. Wobbrock. 2018. Crowdsourcing similarity judgments for agreement analysis in end-user elicitation studies. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (UIST’18). ACM, New York, NY, 177–188. DOI:10.1145/3242587.3242621

3. Abdullah X. Ali , Meredith Ringel Morris , and Jacob O. Wobbrock . 2019. Crowdlicit: A system for conducting distributed end-user elicitation and identification studies . In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI’19) . ACM, New York, NY, 1–12. DOI:10.1145/3290605.3300485 10.1145/3290605.3300485 Abdullah X. Ali, Meredith Ringel Morris, and Jacob O. Wobbrock. 2019. Crowdlicit: A system for conducting distributed end-user elicitation and identification studies. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI’19). ACM, New York, NY, 1–12. DOI:10.1145/3290605.3300485

4. Bashar Altakrouri , Daniel Burmeister , Dennis Boldt , and Andreas Schrader . 2016 . Insights on the impact of physical impairments in full-body motion gesture elicitation studies . In Proceedings of the 9th Nordic Conference on Human-Computer Interaction (NordiCHI’16) . ACM, New York, NY, 1–10. DOI:10.1145/2971485.2971502 10.1145/2971485.2971502 Bashar Altakrouri, Daniel Burmeister, Dennis Boldt, and Andreas Schrader. 2016. Insights on the impact of physical impairments in full-body motion gesture elicitation studies. In Proceedings of the 9th Nordic Conference on Human-Computer Interaction (NordiCHI’16). ACM, New York, NY, 1–10. DOI:10.1145/2971485.2971502

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3