A Multimodal Alarm System for Risk Management in a Clinical Lab

Author:

Cena Federica1,Lombardi Ilaria1,Soccini Agata Marta1,Sarzotti Federico1,Re Alessandra1,Trizio Marco1,Cremasco Margherita Micheletti1

Affiliation:

1. University of Torino, Torino, Italy

Abstract

In this article, the authors aim at finding a way to effectively communicate situations of risk related to work safety, by catching workers' attention without interrupting their main task. They designed a multimodal alarm solution specifically conceived for a biomedical lab, where workers might be intoxicated due to the possible leak of reagents or to excessive exposure to potentially toxic substances. The authors propose a novel multimodal alarm system which makes use of different sensory modalities, touch and vision. In particular, it exploits wearable technologies to improve the effectiveness of the alarm in the context. In details, it offers 1) tactile alarm to catch user attention, 2) different alarm modalities for collective and personal risks, 3) visual cue to provide immediate diagnostic information on the risk source, and more detailed information on the risk nature. In this article, the authors describe a pilot test in the real context of use to inform the design of the system. The results are promising for the development of the solution.

Publisher

IGI Global

Subject

Human-Computer Interaction

Reference34 articles.

1. Amaldi, P., Rozzi, S., Bob Fields, B., & Wong, W. (2007) Two views on human alarm interactions: Some empirical evidence based on operational data. In ECSCW_07 Workshop Diagnostic Aids (pp. 5-7).

2. Sees@ w: Internet of persons meets internet of things for safety at work.;A.Antonini;Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016,2016

3. Top-down versus bottom-up attentional control: a failed theoretical dichotomy

4. SUS: a “quick and dirty” usability scale;J.Brooke;Usability evaluation in industry,1996

5. Evaluation of vibrotactile feedback for forward collision warning on the steering wheel and seatbelt

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