Monitoring and improving performance in human-computer interaction

被引:13
作者
Carneiro, Davide [1 ]
Pimenta, Andre [1 ]
Goncalves, Sergio [2 ]
Neves, Jose [1 ]
Novais, Paulo [1 ]
机构
[1] Univ Minho, Algoritmi Ctr, Dept Informat, Braga, Portugal
[2] Univ Vigo, Dept Informat, Orense, Spain
关键词
performance monitoring; attention; distributed architecture; music; FATIGUE; STRESS;
D O I
10.1002/cpe.3635
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Monitoring an individual's performance in a task, especially in the workplace context, is becoming an increasingly interesting and controversial topic in a time in which workers are expected to produce more, better and faster. The tension caused by this competitiveness, together with the pressure of monitoring, may not work in favour of the organization's objectives. In this paper, we present an innovative approach on the problem of performance management. We build on the fact that computers are nowadays used as major work tools in many workplaces to devise a non-invasive method for distributed performance monitoring based on the observation of the worker's interaction with the computer. We then look at musical selection both as a pleasant and as an effective method for improving performance in the workplace. The proposed approach will allow team coordinators to assess and manage their co-workers' performance continuously and in real-time, using a distributed service-based architecture. Copyright (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:1291 / 1309
页数:19
相关论文
共 20 条
[1]  
Aiello JR, 1995, ORG RISK FACTORS JOB, Vxii, P163
[2]  
Bacon CJ, 2012, J SPORT MED PHYS FIT, V52, P359
[3]   Situating workplace surveillance: Ethics and computer based performance monitoring [J].
Ball, Kirstie S. .
ETHICS AND INFORMATION TECHNOLOGY, 2001, 3 (03) :211-223
[4]  
Carneiro D, 2013, LECT NOTES ARTIF INT, V8154, P1, DOI 10.1007/978-3-642-40669-0_1
[5]   Multimodal behavioral analysis for non-invasive stress detection [J].
Carneiro, Davide ;
Carlos Castillo, Jose ;
Novais, Paulo ;
Fernandez-Caballero, Antonio ;
Neves, Jose .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (18) :13376-13389
[6]   Hybrid intelligent algorithms and applications [J].
Corchado, Emilio ;
Abraham, Ajith ;
de Carvalho, Andre .
INFORMATION SCIENCES, 2010, 180 (14) :2633-2634
[7]  
Costa M, 2015, STUDIES COMPUTATIONA, V570, P19
[8]  
Hatem Thamine P, 2006, J Pediatr (Rio J), V82, P186, DOI 10.2223/JPED.1473
[9]  
Hu X., 2008, Proceedings of the International Society for Music Information Retrieval Conference, P462
[10]  
Hwang KA, 2009, EDUC TECHNOL SOC, V12, P22