Publication statistics

Pub. period:2008-2011
Pub. count:4
Number of co-authors:5


Number of publications with 3 favourite co-authors:

Bob J. Wielinga:
Ben J. A. Krose:
Vanessa Evers:



Productive colleagues

Marcel Heerink's 3 most productive colleagues in number of publications:

Vanessa Evers:34
Ben J. A. Krose:9
Bob J. Wielinga:8

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Marcel Heerink


Publications by Marcel Heerink (bibliography)

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Heerink, Marcel (2011): Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults. In: Proceedings of the 6th International Conference on Human Robot Interaction 2011. pp. 147-148.

It is generally recognized that non perceptual factors like age, gender, education and computer experience can have a moderating effect on how perception of a technology leads to acceptance of it. In our present research we are exploring the influence of these factors on the acceptance of assistive social robots by older adults. In this short paper we discuss the results of a user study in which a movie of an elderly person using a social assistive robot was shown to older adults. The analysis of the responses give a first indication on if and how these factors relate to the perceptual processes that lead to acceptance.

© All rights reserved Heerink and/or his/her publisher

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Heerink, Marcel, Krose, Ben J. A., Evers, Vanessa and Wielinga, Bob J. (2010): Relating conversational expressiveness to social presence and acceptance of an assistive social robot. In Virtual Reality, 14 (1) pp. 77-84.

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Heerink, Marcel, Krose, 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

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Heerink, Marcel, Krose, 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

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