Abstract
Research on human-robots teams (HRTs) as teams in which humans and robots work together is an emerging interdisciplinary field that still has white spots that are only slowly being considered by researchers. This review aims to provide an overview over different viewpoints towards HRTs and to synchronize extant definitions. We review extant conceptual and empirical research on HRTs and categorize it following an input-process-output model for teams. After systematically examining what research already knows about HRTs, we identify areas that require further research to gain a deeper understanding of HRTs and discuss proposals for future research.
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1 Introduction and Relevance
Imagine having a new team assistant joining your team and instead of a human it is a robot that enters your office and introduces itself. This or similar constellations are not far-off science fiction anymore, but closer to our work reality than we think.
According to a recent study, 82% of business leaders believe that human-robot teams (HRT), comprising of both human and robotic team members [1], will be reality in about five years [2]. Already today, humans partner with robots in order to accomplish work tasks in a variety of areas, such as urban search and rescue teams [3, 4] and space teams [5, 6].
Research on HRTs is a rising interdisciplinary field, but disciplines often focus on rather specific areas. This makes it difficult to build new research on existing knowledge on HRTs. Additionally, there is no common understanding regarding the definition of an HRT.
This review attempts to systematically synchronize extant definitions of HRTs. Furthermore, research on HRTs is discussed in terms of underlying focus areas, research disciplines and major findings. Finally, other important and so far unexplored application areas of HRTs will be considered for future research.
This review focuses on conceptual articles and empirical studies that investigated HRTs with functional, humanoid or android robotic team members. We further include studies on metrics/taxonomies to account for the conceptual background of human-robot teaming. Ultimately, this article reviews over 80 studies that investigated HRTs and were published between 1997 and 2019.
Based on this review, gaps in extant research will be identified and areas for future research will be discussed. Accordingly, three research questions were set:
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1.
How can HRTs be defined?
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2.
What do we know about HRTs?
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3.
What are fruitful areas for a future research in the area of HRTs?
The paper is organized as follows. We start with the definition of the term HRT and introduce the conceptual framework of this review (Sect. 2). Then, we give an overview of the important findings of the reviewed studies (Sect. 3). In Sect. 4, we discuss future research directions in the field of HRTs.
2 Key Definitions and Framework of the Review
2.1 Definition of Human-Robot Teams
Despite being increasingly considered by a number of research disciplines, there is no universal definition of HRTs that is used over a broad range of disciplines and research focuses. In the following, we rely on team research from psychology and insights from robotic research to develop a basic definition of the term HRT.
Research on human-human teams (HHTs) has achieved a common agreement on the definition of a team (see, e.g., Stock [7]). Here, a team is defined as “a collection of individuals who are interdependent in their tasks and who share responsibility for outcomes” [7, p. 275]. In robotics research, most authors do not explicitly define the term HRT. However, the investigated team types allow conclusions of the various studies’ understanding of the composition of the HRT under investigation. Table 1 provides an overview of team types and sample definitions of HRTs in the investigated research.
A large number of researchers considers human-directed robot teams (esp. in (urban) search and rescue (USAR)) or autonomous mixed teams with no clearly assigned leadership (esp. in human-robot interaction (HRI)) as HRTs in their research and only very few empirical studies with HRTs defined as human-/robot-directed mixed teams, or robot-directed human teams exist. These different viewpoints result in inconsistencies in the definition of HRTs, e.g., regarding autonomy in a HRT [8, 11] or a task- vs. relational perspective on HRTs [1, 11].
Relying on extant research on HHTs [7] and research on HRTs, we define a human-robot team (HRT) as humans and robots, who perform joint tasks, share common goals, interact socially and exhibit task interdependencies.
2.2 Framework of the Review
To structure the review, we decided to categorize the considered studies following the structure of an adapted input-process-output (IPO) framework of teams that has evolved in organizational behavior literature [12] and was in this specific form introduced by Stock [7]. According to this framework, which is depicted in Fig. 1, two main input factors, namely individual robotic team member characteristics and team factors, can be differentiated. Team processes like coordination, communication and conflicts within the team [13] then in turn influence team outputs [13], that Stock refers to as “psychological and business-related outcomes produced by teams” [7, p. 277].
In total, five different categories of studies are considered in this review: Studies that investigate individual robotic team member characteristics or their effects on team processes and/or outcomes are cumulated in category 1 (Sect. 3.1). Studies that analogously investigate team factors and their effects are considered in category 2 (Sect. 3.2). The third category covers studies that investigate team processes and their effects on team outcomes (Sect. 3.3). Category 4 incorporates studies that investigate moderating effects on the links between inputs, processes and outputs (Sect. 3.4). Lastly, studies that cover a causal chain spanning from the inputs via mediating processes to outputs or that deal with overarching HRT topics are included in category 5 (Sect. 3.5). These studies differ from the other studies in that they are not limited to “one-step relationships” but consider mediated relationships (causal chains) [7]. Please note that it is possible for studies to fall into more than one of the above-mentioned categories without being treated as integrative [7].
3 Conceptual and Empirical Findings Related to Human-Robot Teams
3.1 Category 1: Effects of Individual Robotic Team Member Characteristics
A lot of research on individual robotic (team member) characteristics and their effects we reviewed is not anchored in HRTs. It rather falls within the much broader scope of HRI and is therefore excluded from the detailed review in this paper. Nonetheless, two subcategories of research on HRTs in this category can be differentiated based on their focus areas robot design and robot behavior.
Research on robot design is the explicit focus of conceptual and empirical studies on “Robonaut” - a robot designed to be deployed in a HRT in a space context [5, 6, 14]. Further, gender effects [15] and the effects of the human-likeness of robots on praise and punishment in HRTs [16] are investigated. On the other hand, research on robot behavior as an aspect of HRTs empirically investigates robotic touch and attitudes [17], the accomodation of human variability [18], robotic behavior explanations [19] and prosocial behavior of robots [20]. Conceptual research focuses on the concept of “inefficient” robots [21] that are not designed to boost efficiency but rather offer socially supportive behavior.
Because of space restrictions it is not possible to discuss the reviewed studies in detail. Table 2 provides an overview of the major disciplines, goals and key findings for all five considered categories of studies.
3.2 Category 2: Effects of Team Factors
The reviewed research on team factors and their effects includes the two subcategories of metrics for HRTs and the roles of human and robotic team members in a HRT including robotic leadership.
With regards to metrics, new metrics going beyond existing ones solely focusing on HRI have been developed for HRTs. These metrics also aim at the evaluation of team performance of HRTs [22, 23].
A comparably large number of research has already been conducted on the roles of human and robotic team members in HRTs. One popular conceptual work on humans and robots in mixed teams by Groom and Nass [11] discusses the suitability of teams versus other forms of joint actions. Other works look closer into the ratio between humans and robots [3], autonomy and control in HRTs [4, 8, 24,25,26,27,28,29] or teaming between humans and robots [30,31,32,33]. Further research on roles in HRTs has been conducted on role allocation [34], willingness to cooperate [35] and robotic leadership [36,37,38,39].
3.3 Category 3: Effects of Team Processes
During our review process we found that studies on team processes and their effects in HRTs form the majority of extant research that is focused on HRTs. This may in part be due to the popularity of HRTs in the context of USAR, where human-directed robot teams are already used today. The studies in this category can be clustered into the four topics: coordination, communication, collaboration and trust in HRTs.
On coordination in HRTs researchers have developed coordination concepts [42, 44,45,46,47] or studied this topic empirically. The empirical works look into mental models [48, 49], local world state observation [50], cooperative navigation via haptic feedback [51], coordination strategies [28], plan execution based on parallels between HRTs and HHTs [52] and shared decision-making considering human preferences [53].
Research on communication in HRTs looks into aspects of information flow [54], backchanelling [55], reasoning [56], conflict moderation [57] and effects of non-verbal communication [58], as well as the conceptual development of communication models [59,60,61] and interfaces [62]. There is further a number of works on the communication between humans and robots that are rooted in the broader context of HRI.
The third topic of collaboration in HRTs has been considered conceptually with a focus on challenges [63], collaborative tools [64], semantic-based path planning [65] and mutual initiative [66, 67] with the latter also being studies empirically [68]. Empirical studies on this topic are working on developing collaboration frameworks [1] – e.g., using spatial representation and reasoning [69] -, or consider joint action perception [70], remote shared visual presence [71], as well as effects of anticipatory actions in HRTs [72, 73]. Further research looks into collaborative problem solving [74], workload in HRTs [10], compares physical collaboration in HRTs with all-human teams [40] and examines emotional attachment and its effects [75].
Finally, with regards to trust in HRTs various researchers studied, e.g., trust and leadership [76], appropriate trust in HRTs [77], the measurement [78] and calibration [79] of trust in HRTs, parallels with human-animal teams [80, 81], or the effects of trust on team performance [41].
3.4 Category 4: Moderating Effects
The investigation of moderator variables is based on a situational perspective in psychology that indicates that phenomena are usually not independent from environmental or situational factors [82]. Accordingly, researchers have started examining moderating effects for the IPO framework in HRTs. In the context of HRTs, researchers so far have examined moderators in form of team capabilities to overcome challenges due to sliding autonomy in HRTs [24], risk of physical danger [35] and robot and team identification [33]. It is unlikely that “one size fits all” applies to HRTs as is also indicated for HHTs [7]. Therefore, moderators should be further investigated in future HRT research.
3.5 Category 5: Integrative and Overarching Studies
In this category we gather studies that consider inputs, processes and outputs of HRTs from an integrative perspective as well as studies on ethics in HRTs. On the first topic of integrative studies, in 2018 You and Robert [43] have developed an input-mediators-output-input model for HRTs which is an extension of the established IPO framework for teams. Gombolay, Guiterrez, Clarke, Sturla and Shah [9] consider decision authority in HRTs, resulting team processes and workloads and the outcomes team performance and worker satisfaction. Richert [74] studies collaborative problem solving in HRTs from an integrative perspective, Robert [83] holistically examines motivation in HRTs and Wang et al. [84] consider the chain of embodiment, communication and trust and performance in HRTs. Finally, the overarching topic of ethics in HRTs is considered in a number of conceptual research that examines the ethics of bilateral and team interactions [85, 86].
4 Conclusion
4.1 Summary on Existing Research
It appears that research on HRTs is well on its way working on gaining more insights into this upcoming interdisciplinary topic. Our review showed that due to the interdependencies with HRI and human-robot collaboration, individual robotic team member characteristics are rarely examined in a strict HRT setting. Team factors of HRTs on the other hand are already being examined more extensively and especially the roles of human and robotic team members in a HRT are in the focus of a lot of research. When it comes to team processes in HRTs, another large number of studies has already been conducted. The coordination, communication and collaboration of HRTs is a central aspect of the same and it is interesting to see the parallels that are being drawn between HRTs and all-human teams. Only few studies consider moderating effects and although their number is slowly increasing, these studies as well as integrative studies on HRTs are still lacking comprehensiveness.
4.2 Avenues for Future Research
As this article shows, there are several unexplored areas in both the conceptual and empirical research of HRTs. Especially with current developments around the world, there is room to learn more about the design, theoretical concepts and practical implications of HRTs. We thus suggest the following three proposals for future research:
- Proposal 1::
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Examine the IPO framework of teams for HRTs
As suggested by team research in general [7] and robotics research in particular [43], the IPO framework constitutes a suitable theory for all-human teams as well as HRTs. As shown in this review, multi-level concepts for HRTs have been examined only little so far. HRT research should therefore dive deeper into this topic and examine the IPO framework for teams more extensively.
- Proposal 2::
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Focus on social robots and their introduction in HRTs
Social robots as robots that are primarily created to interact with humans [87] feature a phenomenon called automated social presence (ASP). ASP makes humans feel like they are with another social entity when interacting with a robot [88]. Due to these particular social features, social robots are increasingly being applied in many fields of our daily lives [89] and should also be examined in future research on HRTs. As a hasty and inconsiderate use of robots can overstrain people and have a lasting negative influence, a special focus of this research should be on the introduction of social robot in HRTs. We therefore further suggest that future research should explicitly consider the transition process towards HRTs.
- Proposal 3::
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Examine HRTs in organizations
As indicated before, social robots can take over a variety of roles and HRTs are expected to have significant influence on the future of work [2]. Especially with current developments in the world economy and the increasing relevance of robots in an organizational context, future research should focus on the examination of HRTs in organizations to gain insights into the effects of such developments.
5 Final Remark
Human-robot teams are an emerging phenomenon of the future of work and our society, that is currently lacking important insights. With our review we were able to show that there are white spots in this research topic, especially with a focus on long-term deployment of HRTs. We made three suggestions for future research on HRTs to accommodate for the high relevance of the topic. We hope that the review provides a good and extensive overview of HRTs and inspiration and ideas for future research.
References
Hoffman, G., Breazeal, C.: Collaboration in human-robot teams. In: AIAA 1st Intelligent Systems Technical Conference (2004)
Dell Technologies, Realizing 2030: A Divided Vision of the Future (2018)
Burke, J., Murphy, R.: Human-robot interaction in USAR technical search: two heads are better than one. In: RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication. IEEE (2004)
Yazdani, F., Brieber, B., Beetz, M.: Cognition-enabled robot control for mixed human-robot rescue teams. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds.) Intelligent Autonomous Systems 13. AISC, vol. 302, pp. 1357–1369. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-08338-4_98
Bluethmann, W., et al.: Robonaut: a robot designed to work with humans in space. Auton. Robots 14(2–3), 179–197 (2003)
Fong, T., et al.: The peer-to-peer human-robot interaction project. In: Space 2005 (2005)
Stock, R.: Drivers of team performance: what do we know and what have we still to learn? Schmalenbach Bus. Rev. 5(3), 274–306 (2004). https://doi.org/10.1007/BF03396696
Sellner, B., et al.: Coordinated multiagent teams and sliding autonomy for large-scale assembly. Proc. IEEE 94(7), 1425–1444 (2006)
Gombolay, M.C., Gutierrez, R.A., Clarke, S.G., Sturla, G.F., Shah, J.A.: Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams. Auton. Robots 39(3), 293–312 (2015). https://doi.org/10.1007/s10514-015-9457-9
Harriott, C.E., Zhang, T., Adams, J.A.: Evaluating the applicability of current models of workload to peer-based human-robot teams. In: Proceedings of the 6th International Conference on Human-robot Interaction (2011)
Groom, V., Nass, C.: Can robots be teammates?: Benchmarks in human–robot teams. Int. Stud. 8(3), 483–500 (2007)
Gladstein, D.L.: Groups in context: a model of task group effectiveness. Adm. Sci. Q. 29, 499–517 (1984)
Barrick, M.R., et al.: Relating member ability and personality to work-team processes and team effectiveness. J. Appl. Psychol. 83(3), 377 (1998)
Fong, T., et al.: A preliminary study of peer-to-peer human-robot interaction. In: 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE (2006)
Chita-Tegmark, M., Lohani, M., Scheutz, M.: Gender effects in perceptions of robots and humans with varying emotional intelligence. In: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE (2019)
Bartneck, C., Reichenbach, J., Carpenter, J.: Use of praise and punishment in human-robot collaborative teams. In: ROMAN 2006-The 15th IEEE International Symposium on Robot and Human Interactive Communication. IEEE (2006)
Arnold, T., Scheutz, M.: Observing robot touch in context: how does touch and attitude affect perceptions of a robot’s social qualities? In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. Chicago, IL, USA. ACM (2018)
Hiatt, L.M., Harrison, A.M., Trafton, J.G.: Accommodating human variability in human-robot teams through theory of mind. In: Twenty-Second International Joint Conference on Artificial Intelligence (2011)
Wang, N., Pynadath, D.V., Hill, S.G.: The impact of pomdp-generated explanations on trust and performance in human-robot teams. In: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems (2016)
Correia, F., et al.: Exploring prosociality in human-robot teams. In: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2019)
Kelly, R., Watts, L.: Slow but likeable? Inefficient robots as caring team members. In: Robots in Groups and Teams: A CSCW 2017 Workshop (2017)
Burke, J., et al.: Toward developing HRI metrics for teams: pilot testing in the field. In: Workshop on Metrics for Human-Robot Interaction, 3rd Ann. Conf. Human-Robot Interaction (2008)
Pina, P., et al.: Identifying generalizable metric classes to evaluate human-robot teams. In: Workshop on Metrics for Human-Robot Interaction, 3rd Ann. Conf. Human-Robot Interaction (2008)
Dias, M.B., et al.: Sliding autonomy for peer-to-peer human-robot teams (2008)
Goodrich, M.A., et al.: Managing autonomy in robot teams: observations from four experiments. In: 2nd Annual Conference on Human-Robot Interaction (HRI). Arlington, VA, USA. IEEE (2007)
Musić, S., Hirche, S.: Control sharing in human-robot team interaction. Ann. Rev. Control 44, 342–354 (2017)
Wang, J., Lewis, M.: Human control for cooperating robot teams. In: 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE (2007)
Wang, H., Lewis, M., Chien, S.-Y.: Teams organization and performance analysis in autonomous human-robot teams. In: Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop (2010)
Wynne, K.T., Lyons, J.B.: An integrative model of autonomous agent teammate-likeness. Theor. Issues in Ergon. Sci. 19(3), 353–374 (2018)
Barnes, M.J., Chen, J.Y.C., Jentsch, F., Redden, E.S.: Designing effective soldier-robot teams in complex environments: training, interfaces, and individual differences. In: Harris, D. (ed.) EPCE 2011. LNCS (LNAI), vol. 6781, pp. 484–493. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21741-8_51
Mingyue Ma, L., Fong, T., Micire, M.J., Kim, Y.K., Feigh, K.: Human-robot teaming: concepts and components for design. In: Hutter, M., Siegwart, R. (eds.) Field and Service Robotics. SPAR, vol. 5, pp. 649–663. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-67361-5_42
Tang, F., Parker, L.E.: Peer-to-peer human-robot teaming through reconfigurable schemas. In: AAAI Spring Symposium: To Boldly Go Where No Human-Robot Team Has Gone Before (2006)
You, S., Robert, L.: Subgroup formation in human-robot teams. In: Fortieth International Conference on Information Systems. Munich (2019)
Howard, A.M., Cruz, G.: Adapting human leadership approaches for role allocation in human-robot navigation scenarios. In: 2006 World Automation Congress. IEEE (2006)
You, S., Robert Jr, L.P.: Human-robot similarity and willingness to work with a robotic co-worker. In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. Chicago, IL, USA. ACM (2018)
Gladden, M.E.: The social robot as ‘Charismatic Leader’: a phenomenology of human submission to nonhuman power. In: Robophilosophy (2014)
Kwon, M., et al.: Influencing leading and following in human-robot teams. In: Proceedings of Robotics: Science Systems (2019)
Samani, H.A., Koh, Jeffrey T.K.V., Saadatian, E., Polydorou, D.: Towards robotics leadership: an analysis of leadership characteristics and the roles robots will inherit in future human society. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ACIIDS 2012. LNCS (LNAI), vol. 7197, pp. 158–165. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28490-8_17
Samani, H., Cheok, A.: From human-robot relationship to robot-based leadership. In: 4th International Conference on Human System Interaction, HSI 2011 (2011)
Reed, K.B., Peshkin, M.A.: Physical collaboration of human-human and human-robot teams. IEEE Trans. Haptics 1(2), 108–120 (2008)
You, S., Robert, L.: Trusting robots in teams: examining the impacts of trusting robots on team performance and satisfaction. In: 52th Hawaii International Conference on System Sciences (2019)
Bradshaw, J.M., et al.: From tools to teammates: joint activity in human-agent-robot teams. In: Kurosu, M. (ed.) HCD 2009. LNCS, vol. 5619, pp. 935–944. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02806-9_107
You, S., Robert, L.: Teaming up with robots: an IMOI (inputs-mediators-outputs-inputs) framework of human-robot teamwork. Int. J. Robot. Eng. 2(3) (2018)
Alboul, L., Saez-Pons, J., Penders, J.: Mixed human-robot team navigation in the GUARDIANS project. In: 2008 IEEE International Workshop on Safety, Security and Rescue Robotics. IEEE (2008)
Bradshaw, J.M., et al.: Human-agent-robot teamwork. IEEE Intell. Syst. 27(2), 8–13 (2012)
Laengle, T., Hoeniger, T., Zhu, L.: Cooperation in human-robot-teams. In: ICI&C’1997 Proceedings of the International Conference on Informatics and Control. St. Petersburg, Russia. IEEE (1997)
Liu, C., Tomizuka, M.: Modeling and controller design of cooperative robots in workspace sharing human-robot assembly teams. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE (2014)
Nikolaidis, S., Shah, J.: Human-robot teaming using shared mental models. In: ACM/IEEE HRI (2012)
Nikolaidis, S., Shah, J.: Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy. In: Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction. IEEE (2013)
Riedelbauch, D., Henrich, D.: Coordinating flexible human-robot teams by local world state observation. In: 2017 26th IEEE international symposium on Robot and Human Interactive Communication (RO-MAN). IEEE (2017)
Scheggi, S., Aggravi, M., Prattichizzo, D.: Cooperative navigation for mixed human–robot teams using haptic feedback. IEEE Trans. Hum.-Mach. Syst. 47(4), 462–473 (2016)
Shah, J., et al.: Improved human-robot team performance using chaski, a human-inspired plan execution system. In: Proceedings of the 6th International Conference on Human-Robot Interaction (2011)
Gombolay, M.C., Huang, C., Shah, J.: Coordination of human-robot teaming with human task preferences. In: 2015 AAAI Fall Symposium Series (2015)
Kantor, G., et al.: Distributed search and rescue with robot and sensor teams. In: Field and Service Robotics: Recent Advances in Research and Applications, Yuta, S.I. et al., Editors. Springer Berlin Heidelberg. Berlin, Heidelberg, pp. 529–538 (2006)
Jung, M.F., et al.: Engaging robots: easing complex human-robot teamwork using back channeling. In: Proceedings of the 2013 ACM Conference on Computer Supported Cooperative Work. ACM (2013)
Bozcuoglu, A.K., et al.: Reasoning on communication between agents in a human-robot rescue team. In: Towards Intelligent Social Robots-Current Advances in Cognitive Robotics. Seoul (2015)
Jung, M.F., Martelaro, N., Hinds, P.J.: Using robots to moderate team conflict: the case of repairing violations. In: Proceedings of the 10th ACM/IEEE International Conference on Human-Robot Interaction. IEEE (2015)
Breazeal, C., et al.: Effects of nonverbal communication on efficiency and robustness in human-robot teamwork. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (2005)
Kruijff, G.-J., Janicek, M., Zender, H.: Situated communication for joint activity in human-robot teams. IEEE Intell. Syst. 2, 27–35 (2012)
Kruijff, G.-J.M., et al.: Designing, developing, and deploying systems to support human–robot teams in disaster response. Adv. Robot. 28(23), 1547–1570 (2014)
Kruijff-Korbayová, I., et al.: TRADR project: long-term human-robot teaming for robot assisted disaster response. KI - Künstliche Intelligenz 29(2), 193–201 (2015). https://doi.org/10.1007/s13218-015-0352-5
Marge, M., et al.: Exploring spoken dialog interaction in human-robot teams. In: Proceedings of Robots, Games, and Research: Success Stories in USA, RSim IROS Workshop, St. Louis, MO, USA. Citeseer (2009)
Fiore, S.M., et al.: Human-robot teams collaborating socially, organizationally, and culturally. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. SAGE Publications Sage CA: Los Angeles, CA (2011)
Bruemmer, D.J., Walton, M.C.: Collaborative tools for mixed teams of humans and robots. In: Proceedings of the Workshop on Multi-Robot Systems (2003)
Yi, D., Goodrich, M.: Supporting task-oriented collaboration in human-robot teams using semantic-based path planning. SPIE Defense + Security, Vol. 9084. SPIE (2014)
Breazeal, C., et al.: Working collaboratively with humanoid robots. In: 4th IEEE/RAS International Conference on Humanoid Robots, 2004 (2004)
Bruemmer, D.J., Marble, J.L., Dudenhoeffer, D.D.: Mutual initiative in human-machine teams. In: Proceedings of the IEEE 7th Conference on Human Factors and Power Plants. IEEE (2002)
Marble, J.L., Bruemmer, D.J., Few, D.A.: Lessons learned from usability tests with a collaborative cognitive workspace for human-robot teams. In: 2003 IEEE International Conference on Systems, Man and Cybernetics. IEEE (2003)
Kennedy, W.G., et al.: Spatial representation and reasoning for human-robot collaboration. In: AAAI (2007)
Iqbal, T., Gonzales, M.J., Riek, L.D.: Joint action perception to enable fluent human-robot teamwork. In: 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE (2015)
Burke, J., Murphy, R.: RSVP: an investigation of remote shared visual presence as common ground for human-robot teams. In: 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2007)
Hoffman, G., Breazeal, C.: Effects of anticipatory action on human-robot teamwork efficiency, fluency, and perception of team. In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pp. 1–8. Association for Computing Machinery. Arlington, Virginia, USA (2007)
Koppula, H.S., Jain, A., Saxena, A.: Anticipatory planning for human-robot teams. In: Experimental Robotics. Springer (2016)
Richert, A., et al.: Robotic workmates: hybrid human-robot-teams in the industry 4.0. In: 11th International Conference on e-Learning (2016)
You, S., Robert, L.: Emotional attachment, performance, and viability in teams collaborating with embodied physical action (EPA) robots. J. Assoc. Inf. Syst. 19(5), 377–407 (2017)
Marble, J.L., et al.: Evaluation of supervisory vs. peer-peer interaction with human-robot teams. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, 2004. IEEE (2004)
Ososky, S., et al.: Building appropriate trust in human-robot teams. In: 2013 AAAI Spring Symposium Series (2013)
Freedy, A., et al.: Measurement of trust in human-robot collaboration. In: 2007 International Symposium on Collaborative Technologies and Systems. IEEE (2007)
Wang, N., Pynadath, D.V., Hill, S.G.: Trust calibration within a human-robot team: Comparing automatically generated explanations. In: 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE (2016)
Phillips, E., et al.: Human-animal teams as an analog for future human-robot teams. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. SAGE Publications (2012)
Phillips, E., et al.: Human-animal teams as an analog for future human-robot teams: influencing design and fostering trust. J. Hum.-Robot Interact. 5(1), 100–125 (2016)
Arnold, H.J.: Moderator variables: a clarification of conceptual, analytic, and psychometric issues. Organ. Behav. Hum. Perform. 29(2), 143–174 (1982)
Robert, L.: Motivational theory of human robot teamwork. Int. Robot. Autom. J. 4(4), 248–251 (2018)
Wang, N., et al.: Is it my looks? or something i said? the impact of explanations, embodiment, and expectations on trust and performance in human-robot teams. In: Persuasive Technology. Springer International Publishing, Waterloo, ON, Canada (2018)
Arnold, T., Scheutz, M.: Beyond moral dilemmas: exploring the ethical landscape in HRI. In: 2017 12th ACM/IEEE International Conference on Human-Robot Interaction. IEEE (2017)
Tamburrini, G.: Robot ethics: a view from the philosophy of science. Ethics Robot. 11–22 (2009)
Kirby, R., Forlizzi, J., Simmons, R.: Affective social robots. Robot. Auton. Syst. 58(3), 322–332 (2010)
van Doorn, J., et al.: Domo Arigato Mr. Roboto: emergence of automated social presence in organizational frontlines and customers’ service experiences. J. Serv. Res. 20(1), 43–58 (2017)
Ivanov, S.H., Webster, C., Berezina, K.: Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo Desenvolvimento 27(28), 1501–1517 (2017)
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Wolf, F.D., Stock-Homburg, R. (2020). Human-Robot Teams: A Review. In: Wagner, A.R., et al. Social Robotics. ICSR 2020. Lecture Notes in Computer Science(), vol 12483. Springer, Cham. https://doi.org/10.1007/978-3-030-62056-1_21
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