Publication statistics
Pub. period:1993-2012
Pub. count:9
Number of co-authors:20
Co-authors
Number of publications with 3 favourite co-authors:
Willem-Paul Brinkman:2Rosemarijn Looije:2H. Paul de Greef:2 Productive colleagues
Mark Neerincx's 3 most productive colleagues in number of publications:
Gavin Doherty:29Andrea Gaggioli:22Willem-Paul Brinkm..:17
“
Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives.
”
-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")
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Mark Neerincx
Publications by Mark Neerincx (bibliography)
Diggelen, Jurriaan van, Looije, Rosemarijn, Mioch, Tina, Neerincx, Mark and Smets, Nanja (2012): A Usage-Centered Evaluation Methodology for Unmanned Ground Vehicles. In: Proceedings of the 2012 International Conference on Advances in Computer-Human Interactions 2012. pp. 186-191.
“This paper presents a usage-centered evaluation method to assess the capabilities of a particular Unmanned Ground Vehicle (UGV) for establishing the operational goals. The method includes a test battery consisting of basic tasks (e.g., slalom, funnel driving, object detection). Tests can be of different levels of abstraction, and be performed in a virtual or real environment. In this way, several candidate UGV's in a procurement program can be assessed, and thus compared. Also, it can give directions to research on improving human-robot interfaces. A first case study of this methodology conveyed capability differences of two alternative user interfaces for a specific UGV with their operational impact.”
© All rights reserved Diggelen et al. and/or IEEE
Gunawan, Lucy, Alers, Hani, Brinkman, Willem-Paul and Neerincx, Mark (2010): Effect of map sharing and confidence information in situation-map making. In: Proceedings of the 2010 Annual European Conference on Cognitive Ergonomics 2010. pp. 41-48.
“Motivation -- A situation map that shows the overview of a disaster situation serves as a valuable tool for disaster response teams. It helps them orientate their location and make disaster response decisions. It is, however, a quite complicated task to rapidly generate a comprehensive situation map of a disaster area. In this paper, we report on an investigation of how two persons can collaborate to make a situation map. Research approach -- We performed a controlled laboratory experiment, in which 32 participants (grouped into 16 pairs) made a situation map of incidents. The experiment was set up as a two-way repeated-measures design with the type of collaboration and the availability of confidence level information as within-subject factors. Findings/Design -- The results suggest that the collaboration type can affect the quality of the situation map. Additionally, the results also suggest that the availability of confidence information influences the discussion process during collaboration. The participants perceived the availability of confidence level information as being positive. Research limitations/Implications -- The order of using the types of collaboration might have caused a learning effect by participants. Furthermore, the lack of a practice session might have had an influence on participants' object recognition during the first session of the experiment. Originality/Value -- The study takes the position that the affected population in a disaster can actively participate in the situation-map making process. Take away message -- Situation map-making might benefit from a simple collaborative action such as sharing a map including confidence information.”
© All rights reserved Gunawan et al. and/or their publisher
Streefkerk, Jan Willem, Esch-Bussemakers, Myra van and Neerincx, Mark (2010): Balancing costs and benefits of automated task allocation in mobile surveillance. In: Proceedings of the 2010 Annual European Conference on Cognitive Ergonomics 2010. pp. 99-106.
“Motivation -- Automated task allocation systems are prone to errors (e.g. incorrect advice) due to context events. Empirical assessment is needed of how the costs of incorrect task allocation advice relate to the benefits. Research approach -- Claims regarding benefits and costs are tested in a team surveillance task in a synthetic task environment. Eighteen teams of three trained students handled incidents while using a mobile support prototype providing task allocation advice. For half of the incidents, context events caused this advice to be incorrect. To assess the costs and benefits of using this prototype, task performance, situation awareness and trust were compared between two conditions; with and without task allocation advice. Findings -- Incorrect advice slows response time and handling time and causes more misunderstanding, but not more decision errors or team communication, compared to no advice. No effects of incorrect advice were found on situation awareness and trust. Research Limitations and Implications -- This study shows that costs in time are higher than the benefits of accurate allocation. Professional end-users would perform better on the surveillance task. Originality/Value -- This research is a first step to help designers balance costs and benefits of context-aware systems in critical domains. Take away message -- When time-pressure is high, automated support could be worse than no support.”
© All rights reserved Streefkerk et al. and/or their publisher
Brinkman, Willem-Paul, Doherty, Gavin, Gorini, Alessandra, Gaggioli, Andrea and Neerincx, Mark (2010): Cognitive engineering for technology in mental health care and rehabilitation. In: Proceedings of the 2010 Annual European Conference on Cognitive Ergonomics 2010. pp. 297-298.
“The use of technology, such as virtual reality, electronic diaries, multimedia, brain computing and computer games, to support the care and rehabilitation of patients affected by mental disorders is a relatively new and advancing research area. In this workshop, researchers, developers and mental health professionals will present and discuss their latest work, with a focus on cognitive, emotional and ergonomic aspects on issues as acceptance, usage, experience and accessibility of these innovative technologies.”
© All rights reserved Brinkman et al. and/or their publisher
Looije, Rosemarijn, Arendsen, Jeroen, Saldien, Jelle, Vanderborght, Bram, Broekens, Joost and Neerincx, Mark (2010): Robots that care. In: Proceedings of the 2010 Annual European Conference on Cognitive Ergonomics 2010. pp. 301-302.
“Many countries face pressure on their health care systems. To alleviate this pressure, 'self care' and 'self monitoring' are often stimulated with the use of new assistive technologies. Social robotics is a research area where robotic technology is optimized for various social functions. One of these functions is self care assistance. To foster progress in this area of 'social robotics for self care', coordinated efforts between research institutes, companies and end users are needed. This workshop focuses on bringing these stakeholders together and creating a shared research agenda.”
© All rights reserved Looije et al. and/or their publisher
Paymans, Tim F., Lindenberg, Jasper and Neerincx, Mark (2004): Usability trade-offs for adaptive user interfaces: ease of use and learnability. In: Nunes, Nuno Jardim and Rich, Charles (eds.) International Conference on Intelligent User Interfaces 2004 January 13-16, 2004, Funchal, Madeira, Portugal. pp. 301-303.
“An analysis of context-aware user interfaces shows that adaptation mechanisms have a cost-benefit trade-off for usability. Unpredictable autonomous interface adaptations can easily reduce a system's usability. To reduce this negative effect of adaptive behaviour, we have attempted to help users building adequate mental models of such systems. A user support concept was developed and applied to a context-aware mobile device with an adaptive user interface. The approach was evaluated with users and as expected, the user support improved ease of use, but unexpectedly it reduced learnability. This shows that an increase of ease of use can be realised without actually improving the user's mental model of adaptive systems.”
© All rights reserved Paymans et al. and/or ACM Press
Neerincx, Mark and Greef, H. Paul de (1998): Cognitive Support: Extending Human Knowledge and Processing Capacities. In Human-Computer Interaction, 13 (1) pp. 73-106.
“The idea of aiding as cognitive support is to offer the user the knowledge he or she is missing. Recently, we developed a design method for aiding that is based on explicit requirements of the human problem solver. This proved to be able to supplement a lack of human knowledge in a statistical analysis task. In this article we extend the aiding concept to time-pressured tasks and we investigate whether aiding can supplement lack of knowledge and capacity under tasks with high mental loading, such as dealing with irregularities in process control. We developed a simulator of the workplace of a railway traffic controller with an aiding function for dealing with irregularities (e.g., a switch getting out of order). Application of the design method proved to be possible for this task. We then conducted an experiment to study effects of the aiding on task performance, mental effort, and learning under low and high task load conditions. Users of the simulator dealt better and faster with irregularities when the computer provided aiding. The higher the task load was, the larger this beneficial effect was. For theory about human-computer interaction, this research points to possible positive effects of aiding on performance and learning as a consequence of reducing cognitive demands.”
© All rights reserved Neerincx and and/or Taylor and Francis
Greef, H. Paul de and Neerincx, Mark (1995): Cognitive Support: Designing Aiding to Supplement Human Knowledge. In International Journal of Human-Computer Studies, 42 (5) pp. 531-571.
“This article advocates, as alternative for either the "classical" technology- or user-centred approach, to focus on the joint human-computer task performance in system design. Human involvement can be improved by designing system functions which complement human knowledge and capacities. Based on general needs for cognitive support, an aiding function is proposed which -- in the process of task execution -- takes the initiative to present context-specific, procedural task knowledge. Design of such aiding comprises two aspects: design of software and design of a human-computer system. Modern model-based software engineering methods provide strong support for the design of software systems, but little support for modelling the human-computer interaction. Current model-based methods are extended to address human-computer interaction issues. The resulting method comprises the design of easy-to-use-and-learn interfaces providing, if needed, aiding. In a case study, the method is applied to design a conventional plain interface and an aiding interface for the statistical program HOMALS. In an experiment, users with minor HOMALS expertise prove to perform their tasks better and to learn more with the aiding interface.”
© All rights reserved Greef and and/or Academic Press
Neerincx, Mark and Greef, Paul de (1993): How to Aid Non-Experts. In: Ashlund, Stacey, Mullet, Kevin, Henderson, Austin, Hollnagel, Erik and White, Ted (eds.) Proceedings of the ACM CHI 93 Human Factors in Computing Systems Conference April 24-29, 1993, Amsterdam, The Netherlands. pp. 165-171.
“Aiding functions may be added to a computer system, so that users with insufficient knowledge can perform their tasks. The aiding should be integrated into the task execution of such users. Empirical knowledge is lacking about the conditions for successful aiding. We evaluated the on-line help system of the statistical software package SPSS/PC. It appears that the addition of help facilities to the system worsens the task performance and learning of novices substantially. In our view, the addition of help is harmful, because communication with the system is more complex as a result, whereas the help hardly provides the task support that novices need. De Greef et al. [5] provide two design principles that result in consistent communication and aiding in correspondence with users' needs: (i) the design of aiding functions is an integrated part of interface design and (ii) aiding is based upon an expert model of the users' task. We evaluated an interface for the statistical program HOMALS, which was designed according to these principles. As a consequence of the addition of aiding functions, non-expert users perform their tasks better and learn more.”
© All rights reserved Neerincx and Greef and/or ACM Press
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