Number of co-authors:9
Number of publications with 3 favourite co-authors:Vanessa Evers:4Henriette Cramer:2Ben Kröse:2
Bob Wielinga's 3 most productive colleagues in number of publications:Vanessa Evers:33Henriette Cramer:14Guus Schreiber:4
User error: replace user and press any key to continue.
-- Popular computer one-liner
Read the fascinating history of Wearable Computing, told by its father, Steve Mann
Read Steve's chapter !
Publications by Bob Wielinga (bibliography)
Cramer, Henriette, Evers, Vanessa, Slooten, Tim van, Ghijsen, Mattijs and Wielinga, Bob (2010): Trying too hard: effects of mobile agents' (Inappropriate) social expressiveness on trust, affect and compliance. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 1471-1474.
Mobile services can provide users with information relevant to their current circumstances. Distant services in turn can acquire local information from people in an area of interest. Socially expressive agent behaviour has been suggested as a way to build reciprocal relationships and to increase user response to such requests. This between-subject, Wizard-of-Oz experiment aimed to investigate the potential of such behaviours. 44 participants performed a search task in an urgent context while being interrupted by a mobile agent that both provided and requested information. The socially expressive behaviour shown in this study did not increase compliance to requests; it instead reduced trust in provided information and compliance to warnings. It also negatively impacted the affective experience of users scoring lower on empathy as a personality trait. Inappropriate social expressiveness can have serious consequences; we here elaborate on the reasons for our negative results.
© All rights reserved Cramer et al. and/or their publisher
Cramer, Henriette, Goddijn, Jorrit, Wielinga, Bob and Evers, Vanessa (2010): Effects of (in)accurate empathy and situational valence on attitudes towards robots. In: Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction 2010. pp. 141-142.
Empathy has great potential in human-robot interaction. However, the challenging nature of assessing the user's emotional state points to the importance of also understanding the effects of empathic behaviours incongruent with users' affective experience. A 3x2 between-subject video-based survey experiment (N=133) was conducted with empathic robot behaviour (empathically accurate, neutral, inaccurate) and valence of the situation (positive, negative) as dimensions. Trust decreased when empathic responses were incongruent with the affective state of the user. However, in the negative valence condition, reported perceived empathic abilities were greater when the robot responded as if the situation were positive.
© All rights reserved Cramer et al. and/or their publisher
Heerink, Marcel, Kröse, Ben, Wielinga, Bob and Evers, Vanessa (2009): Measuring the influence of social abilities on acceptance of an interface robot and a screen agent by elderly users. In: Proceedings of the HCI09 Conference on People and Computers XXIII 2009. pp. 430-439.
Personal robots and screen agents can be equipped with social abilities to facilitate interaction. This paper describes our research on the influence of these abilities on elderly user's acceptance of such a system. Experiments were set up in eldercare institutions where a robotic and screen agent with simulated conversational capabilities were used in a Wizard of Oz experiment. Both agents were used with two conditions: a more socially communicative (the agent made use of a larger set of social abilities in interaction) and a less socially communicative interface. Results show that participants who were confronted with the more socially communicative version of the robotic agent felt more comfortable and were more expressive in communicating with it. This suggests that the more socially communicative condition would be more likely to be accepted as a conversational partner. This effect was less strong however, with the screen agent, suggesting that embodiment plays a role in this. Furthermore, results did show a correlation between social abilities as perceived by participants and some aspects of technology acceptance for both systems, but this did not relate to the more and less socially communicative conditions. Evaluating the experiments and specifically the use of our acceptance model we suggest that this particular context of robotic and screen agents for elderly users requires the development of a more appropriate acceptance model which not only features technology acceptance, but also conversational acceptance.
© All rights reserved Heerink et al. and/or their publisher
Heerink, Marcel, Kröse, Ben, Wielinga, Bob and Evers, Vanessa (2008): Enjoyment intention to use and actual use of a conversational robot by elderly people. In: Proceedings of the 3rd ACM/IEEE International Conference on Human Robot Interaction 2008. pp. 113-120.
In this paper we explore the concept of enjoyment as a possible factor influencing acceptance of robotic technology by elderly people. We describe an experiment with a conversational robot and elderly users (n=30) that incorporates both a test session and a long term user observation. The experiment did confirm the hypothesis that perceived enjoyment has an effect on the intention to use a robotic system. Furthermore, findings show that the general assumption in technology acceptance models that intention to use predicts actual use is also applicable to this specific technology used by elderly people.
© All rights reserved Heerink et al. and/or ACM Press
Aart, Chris J. van, Wielinga, Bob and Schreiber, Guus (2004): Organizational building blocks for design of distributed intelligent system. In International Journal of Human-Computer Studies, 61 (5) pp. 567-599.
In this work we present a framework for multi-agent system design which is based both on human organizational notions and principles for distributed intelligent systems design. The framework elaborates on the idea that notions from the field of organizational design can be used as the basis for the design of distributed intelligent systems. Concepts such as task, control, job, operation, management, coordination and organization are framed into an agent organizational framework. A collection of organizational design activities is presented that assist in a task oriented decomposition of the overall task of a system into jobs and the reintegration of jobs using job allocation, coordination mechanisms and organizational structuring. A number of coordination mechanisms have been defined in the organizational design literature. For the scope of this work we concentrate on: Direct Supervision where one individual takes all decisions about the work of others, Mutual Adjustment that achieves coordination by a process of informal communication between agents, and Standardization of Work, Output and Skills. Three organizational structures are discussed, that coordinate agents and their work: Machine Bureaucracy, Professional Bureaucracy and Adhocracy. The Machine Bureaucracy is task-driven, seeing the organization as a single-purpose structure, which only uses one strategy to execute the overall task. The Professional Bureaucracy is competence-driven, where a part of the organization will first examine a case, match it to predetermined situations and then allocate specialized agents to it. In the Adhocracy the organization is capable of reorganizing its own structure including dynamically changing the work flow, shifting responsibilities and adapting to changing environments. A case study on distributed supply chain management shows the process from task decomposition via organizational design to three multi-agent architectures based on Mintzberg's organizational structures.
© All rights reserved Aart et al. and/or Academic Press
Show this list on your homepage
Join the technology elite and advance:
Changes to this page (author)03 Nov 2010: Added03 Nov 2010: Added
02 Nov 2010: Added
22 Feb 2010: Modified
09 Jul 2009: Added
27 Jun 2007: Added
Page maintainer: The Editorial Team