Abstract
Robots are found to be good, capable and trustworthy companions in various areas, including high-risk situations or emergencies, but some limitations regarding their acceptance have been reported. Amongst other aspects of the Human-Robot Interaction, trust in the robot has been considered as a main indicator of acceptance. Thus, to investigate the dynamics of human-robot acceptance, this study used a virtual reality simulation of an emergency egress to assess the influence of the robot’s appearance on trust. In particular, we were interested in examining the influence of the eyes in the robot on the participants’ decision to follow it to the exit. Since the type of interaction scenario is also a factor with an impact on trust, two environmental affordance conditions (favourable vs. unfavourable) were tested because of their well-established impact on wayfinding decisions. The results show the participants trusted the robot and followed it to the exit but, although the results favour the robot with eyes, no statistically significant differences were found in either environmental affordance. Moreover, despite perceiving the robot as machinelike and artificial, the majority of the participants felt compelled to follow it, also considering it friendly, kind, pleasant, nice, competent, knowledgeable, responsible, intelligent and sensible. Regardless of the existence of eyes, the service robot tested seems to be a promising solution for emergency egress situations in complex buildings.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Litzenberger, G., Hägele, M.: Why service robots boom worldwide. In: Presentation, IFR Press Conference, Brussels, Belgium (2017)
Hancock, P., Billings, D., Schaefer, K.: Can You Trust Your Robot? Ergono. Design Q. Hum. Factors Appl. 19, 24–29 (2011)
Hancock, P.A., Billings, D.R., Schaefer, K.E., Chen, J.Y.C., De Visser, E.J., Parasuraman, R.: A meta-analysis of factors affecting trust in human-robot interaction. Hum. Factors 53(5), 517–527 (2011)
Amano, H.: Present status and problems of firefighting robots. In: Proceedings of the 41st SICE Annual Conference. SICE 2002, Osaka, Japan, pp. 880–885. IEEE (2002)
Nourbakhsh, I.R., Sycara, K., Koes, M., Yong, M., Lewis, M., Burion, S.: Human-robot teaming for search and rescue. In: Weyns, D., Parunak H. V., Michel F. (eds.) Second International Workshop, E4MAS 2005. IEEE Pervasive Computing, Utrecht, The Netherlands, vol. 4, no. 1, pp. 72–77 (2005)
Kinateder, M., Comunale, B., Warren, W.H.: Exit choice in an emergency evacuation scenario is influenced by exit familiarity and neighbor behaviour. Saf. Sci. 106, 170–175 (2018)
Gaudiello, I., Zibetti, E., Lefort, S., Chetouani, M., Ivaldi, S.: Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to iCub answers. Comput. Hum. Behav. 61, 633–655 (2016)
Robinette, P., Vela, P.A., Howard, A.M.: Information propagation applied to robot-assisted evacuation. In: Proceedings - IEEE International Conference on Robotics and Automation, Saint Paul, MN, USA, pp. 856–861. IEEE (2012)
Cramer, H., Evers, V., Van Slooten, T., Ghijsen, M., Wielinga, B.: Trying too hard? Effects of mobile agents’ (Inappropriate) social expressiveness on trust, affect and compliance. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010), pp. 1471–1474. Association for Computing Machinery, New York (2010)
Fan, L., Scheutz, M., Lohani, M., McCoy, M., Stokes, C.: Do we need emotionally intelligent artificial agents? First results of human perceptions of emotional intelligence in humans compared to robots. IVA 2017. LNCS (LNAI), vol. 10498, pp. 129–141. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67401-8_15
DiSalvo, C., Gemperle, F.: From seduction to fulfillment. In: Proceedings of the 2003 International Conference on Designing Pleasurable Products and Interfaces (DPPI 2003), pp. 67–72. Association for Computing Machinery, New York (2003)
Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots: concepts, design, and applications. Robot. Auton. Syst. 42(3), 143–166 (2002)
Choi, J., Kim, M.: The usage and evaluation of anthropomorphic form in robot design. In: Undisciplined! Design Research Society Conference 2008, Sheffield Hallam University, Sheffield, UK, pp. 1–14 (2009)
Jaguar land rover’s virtual eyes look at trust in self-driving cars. https://www.jaguarlandrover.com/news/2018/08/jaguar-land-rovers-virtual-eyes-look-trust-self-driving-cars. Accessed 30 Jan 2020
Vilar, E., Rebelo, F., Noriega, P., Duarte, E., Mayhorn, C.B.: Effects of competing environmental variables and signage on route-choices in simulated everyday and emergency wayfinding situations. Ergonomics 57(4), 511–524 (2014)
Vilar, E., Rebelo, F., Noriega, P., Teles, J., Mayhorn, C.: Signage versus environmental affordances: is the explicit information strong enough to guide human behavior during a wayfinding task? Hum. Factors Ergon. Manuf. 25, 439–452 (2015)
Bartneck, C., Kulić, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int. J. Social Robot. 1(1), 71–81 (2009). https://doi.org/10.1007/s12369-008-0001-3
Vilar, E., Noriega, P., Rebelo, F., Galrão, I., Semedo, D., Graça, N.: Exploratory study to investigate the influence of a third person on an individual emergency wayfinding decision. In: Rebelo, F., Soares, M.M. (eds.) AHFE 2019. AISC, vol. 955, pp. 452–461. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-20227-9_42
Diogo, A., Duarte, E., Ayanoglu, H.: Design of service robots as safety officers: a survey on the influence of morphology and appearance. In: Proceedings of Senses & Sensibility 2019, the 10th UNIDCOM International Conference, 27–29 November 2019, Lisbon, Portugal (in print)
Bozgeyikli, E., Raij, A., Katkoori, S., Dubey, R.: Point & teleport locomotion technique for virtual reality. In: CHI PLAY 2016: Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, Austin, Texas, USA, pp. 205–216. (2016)
Stanton, C., Stevens, Catherine J.: Robot Pressure: The Impact of Robot Eye Gaze and Lifelike Bodily Movements upon Decision-Making and Trust. In: Beetz, M., Johnston, B., Williams, M.-A. (eds.) ICSR 2014. LNCS (LNAI), vol. 8755, pp. 330–339. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11973-1_34
Robinette, P., Li, W., Allen, R., Howard, A.M., Wagner, A.R.: Overtrust of robots in emergency evacuation scenarios. In: 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2016, Christchurch, New Zealand, pp. 101–108. IEEE (2016)
Shibata, T., Wada, K., Ikeda, Y., Sabanovic, S.: Cross-cultural studies on subjective evaluation of a seal robot. Adv. Robot. 23, 443–458 (2009)
De Graaf, M., Allouch, S.: Exploring influencing variables for the acceptance of social robots. Robot. Auton. Syst. 61, 1476–1486 (2013)
Acknowledgments
This study was conducted at the UNIDCOM UX.Lab, supported by the Fundação para a Ciência e Tecnologia, (FCT), under Grant No. UID/DES/00711/2019 attributed to UNIDCOM – Unidade de Investigação em Design e Comunicação, Lisbon, Portugal. Júlia Teles was partly supported by the FCT, under Grant UIDB/00447/2020 to CIPER - Centro Interdisciplinar para o Estudo da Performance Humana (unit 447). The authors would like to thank the support and kind assistance provided by José Graça, from IADE’s Games and Apps Lab for his help with programming the VR simulation.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Diogo, A., Ayanoglu, H., Teles, J., Duarte, E. (2020). Trust on Service Robots: A Pilot Study on the Influence of Eyes in Humanoid Robots During a VR Emergency Egress. In: Kurosu, M. (eds) Human-Computer Interaction. Multimodal and Natural Interaction. HCII 2020. Lecture Notes in Computer Science(), vol 12182. Springer, Cham. https://doi.org/10.1007/978-3-030-49062-1_39
Download citation
DOI: https://doi.org/10.1007/978-3-030-49062-1_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-49061-4
Online ISBN: 978-3-030-49062-1
eBook Packages: Computer ScienceComputer Science (R0)