As technology advances, human robot-teams are becoming increasingly commonplace with team interactions taking place in a variety of military, industrial, service, and social settings. Consequently, as HR teams evolve, novel and unique considerations for how these teams interact and perform are rising. The purpose of this panel, therefore, is to host a discussion on state-of-theart issues and emerging trends that practitioners and researchers should scrutinize as the applications of HR teams expands. To provide a diverse set of perspectives, our panelists hail from a variety of backgrounds: military, industry, and academy. Talks will focus on moral and ethical considerations for human-agent decision-making, the influence of robots on team processes in human surgical teams, and on new considerations for trust in human-agent teams, including for covert measures of trust and for the inclusion of team cohesion in trust measurement.
Get full access to this article
View all access options for this article.
References
1.
BellS. T.BrownS. G.ColaneriA.OutlandN. (2018). Team composition and the ABCs of teamwork. American Psychologist, 73, 349–362. doi: 10.1037/amp0000305
2.
BenishekL. E.LazzaraE. H. (2019). Teams in a new era: Some considerations and implications. Frontiers in Psychology, 10(1006), 1-15.
ChenJYCBarnesM. J. (2014). Human–agent teaming for multirobot control: a review of human factors issues. IEEETrans Hum-Mach Sys; 44(1):13-29.
5.
DeChurchL. A.Mesmer-MagnusJ. R. (2010). The cognitive underpinnings of effective teamwork: a meta-analysis. Journal of Applied Psychology, 95(1), 32-53.
6.
DeskaJ. C.HugenbergK. (2017). The face-mind link: Why we see minds behind faces, and how others’ minds change how we see their face. Social and Personality Psychology Compass, 11(12), e12361. https://doi.org/10.1111/spc3.12361
7.
FalconeR.CastelfranchiC.CardosoH. L.JonesA.OliveiraE. (2013). Norms and trust. In OssowskiS. (Ed.), Agreement technologies (pp. 221–231). SpringerNetherlands. https://doi.org/10.1007/978-94-007-5583-3_15
8.
FreedyA.DeVisserE.WeltmanG.CoeymanN. (2007, May). Measurement of trust in humanrobot collaboration. In 2007 International symposium on collaborative technologies and systems (pp. 106-114). IEEE.
9.
FelzmannH.VillarongaE. F.LutzC.TamòLarrieuxA. (2019). Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns. Big Data & Society, 6(1), 2053951719860542. https://doi.org/10.1177/2053951719860542
IMARC group. (n.d.). Robotics market: Global industry trends, share, size, growth, opportunity and forecast 2021-2026. Social and Personality Psychology Compass, 11(12), e12361. https://doi.org/10.1111/spc3.12361
14.
LeeJ.D.SeeK.A. (2004). Trust in automation: designing for appropriate reliance. Human Factors, 46(1), 50–80.
15.
MalleB. (2016). Integrating robot ethics and machine morality: The study and design of moral competence in robots. Ethics and Information Technology, 18, 243–256. https://doi.org/10.1007/s10676-015-9367-8
16.
MalleB. F. (2016). Integrating robot ethics and machine morality: The study and design of moral competence in robots. Ethics and Information Technology, 18(4), 243–256.
17.
MalleB.F.MagarS.T.ScheutzM. (2019). AI in the Sky: How People Morally Evaluate Human and Machine Decisions in a Lethal Strike Dilemma. In: Aldinhas FerreiraM.Silva SequeiraJ.Singh VirkG.TokhiM., E.KadarE. (eds) Robotics and Well-Being. Intelligent Systems, Control and Automation: Science and Engineering, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-125240_11
18.
MargolisJ. (2019). Multiple team membership: An integrative review. Small Group Research, 51(1), 48-86.
19.
MatthewsG.LinJ.PanganibanA. R.LongM. D. (2020). Individual differences in trust in autonomous robots: Implications for transparency. IEEE Transactions on HumanMachine Systems, 50(3), 234–244. https://doi.org/10.1109/THMS.2019.2947592
OsoskyS.SandersT.JentschF.HancockP.ChenJ. Y. C. (2014). Determinants of system transparency and its influence on trust in and reliance on unmanned robotic systems. Unmanned Systems TechnologyXVI, 9084, 90840E. https://doi.org/10.1117/12.2050622
22.
PhillipsE.OsoskyS.GroveJ.JentschF. (2011). From tools to teammates: Toward the development of appropriate mental models for intelligent robots. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55(1), 1491-1495.
23.
RiegelsbergerJ.SasseM. A.McCarthyJ. D. (2005). The mechanics of trust: A framework for research and design. International Journal of Human-Computer Studies, 62(3), 381–422. https://doi.org/10.1016/j.ijhcs.2005.01.01
