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Understanding Collaboration with Virtual Assistants – The Role of Social Identity and the Extended Self
Abstract
Organizations introduce virtual assistants (VAs) to support employees with work-related tasks. VAs can increase the success of teamwork and thus become an integral part of the daily work life. However, the effect of VAs on virtual teams remains unclear. While social identity theory describes the identification of employees with team members and the continued existence of a group identity, the concept of the extended self refers to the incorporation of possessions into one’s sense of self. This raises the question of which approach applies to VAs as teammates. The article extends the IS literature by examining the impact of VAs on individuals and teams and updates the knowledge on social identity and the extended self by deploying VAs in a collaborative setting. Using a laboratory experiment with N = 50, two groups were compared in solving a task, where one group was assisted by a VA, while the other was supported by a person. Results highlight that employees who identify VAs as part of their extended self are more likely to identify with team members and vice versa. The two aspects are thus combined into the proposed construct of virtually extended identification explaining the relationships of collaboration with VAs. This study contributes to the understanding on the influence of the extended self and social identity on collaboration with VAs. Practitioners are able to assess how VAs improve collaboration and teamwork in mixed teams in organizations.
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“This was necessary because the perception of current AI-based systems is still limited due to currently existing services such as Amazon's Alexa or Apple's Siri, which are not yet without flaws and overall still serve as assistants rather than co-equal partners (Siemon et al. 2018;Seeber et al. 2019Seeber et al. , 2020;;Mirbabaie et al. 2021).”
From Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration (2022) · cites this paper as Mirbabaie et al. 2021
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“As teams will be increasingly composed as hybrid human-AI constellations in the future (Larson 2010;Seeber et al. 2019Seeber et al. , 2020;;Mirbabaie et al. 2021)”
From Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration (2022) · cites this paper as Mirbabaie et al. 2021
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Cites
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003
Identity Theory and Social Identity Theory
Stets, J. E., & Burke, P. J. (2000) · Social Psychology Quarterly · doi:10.2307/2695870 · Cited by 4,464
Extended Self in a Digital World: Table 1.
Belk, R. W. (2013) · Journal of Consumer Research · doi:10.1086/671052 · Cited by 1,698
Burke, P. J., & Stets, J. E. (2009) · doi:10.1093/acprof:oso/9780195388275.001.0001 · Cited by 1,399
Luger, E., & Sellen, A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858288 · Cited by 1,176
Machines as teammates: A research agenda on AI in team collaboration
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G.-J., Elkins, A., Maier, R., Merz, A. B., Oeste-Reiß, S., Randrup, N., et al. (2020) · Information & Management · doi:10.1016/j.im.2019.103174 · Cited by 835
AI-Based Digital Assistants: Opportunities, Threats, and Research Perspectives
Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., Hinz, O., Morana, S., & Söllner, M. (2019) · Business & Information Systems Engineering · doi:10.1007/s12599-019-00600-8 · Cited by 432
The extended iSelf: The impact of iPhone separation on cognition, emotion, and physiology
Clayton, R. B., Leshner, G., & Almond, A. (2015) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12109 · Cited by 430
Embodied Conversational Agent-Based Kiosk for Automated Interviewing
Nunamaker, J. F., Derrick, D. C., Elkins, A. C., Burgoon, J. K., & Patton, M. W. (2011) · Journal of Management Information Systems · doi:10.2753/mis0742-1222280102 · Cited by 280
Chung, H., Iorga, M., Voas, J., & Lee, S. (2017) · Computer · doi:10.1109/mc.2017.3571053 · Cited by 230
Research works printed but not linked: 92
- Andres HP, Shipps BP (2019) Team learning in technology-mediated distributed teams. J Inf Syst Educ 21:10
- Araujo T (2018) Living up to the chatbot hype: the influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Comput Hum Behav 85:183–189. https://doi.org/10.1016/j.chb.2018.03.051 · DOI · Paper page
- Aron A, Aron E, Norman C (2003) Self-expansion motivation and including other in the self. In: Fletcher GJO, Clark MS (eds) Blackwell handbook of social psychology: interpersonal processes. Blackwell, Oxford
- Bajwa D, Lewis L, Pervan G et al (2007) Organizational assimilation of collaborative information technologies: global comparisons. In: 2007 40th annual Hawaii international conference on system sciences · DOI
- Bartels J, van Vuuren M, Ouwerkerk JW (2019) My colleagues are my friends: the role of facebook contacts in employee identification. Manag Commun Q 33:307–328. https://doi.org/10.1177/0893318919837944 · DOI
- Belk RW (1988) Possessions and the extended self. J Consum Res 15:139. https://doi.org/10.1086/209154 · DOI · Paper page
- Benbya H, Leidner D (2018) How Allianz UK used an idea management platform to harness employee innovation. MIS Q Exec 17:900–933
- Berg MM (2015) NADIA: a simplified approach towards the development of natural dialogue systems. In: Biemann C, Handschuh S, Freitas A et al (eds) Natural language processing and information systems. Springer, Cham, pp 144–150 · DOI
- Bittner E, Oeste-Reiß S, Leimeister JM (2019) Where is the bot in our team? Toward a taxonomy of design option combinations for conversational agents in collaborative work. In: Proceedings of the 52nd Hawaii international conference on system sciences · DOI
- Brachten F, Brünker F, Frick NRJ et al (2020) On the ability of virtual agents to decrease cognitive load: an experimental study. Inf Syst E-Bus Manag 18:187–207. https://doi.org/10.1007/s10257-020-00471-7 · DOI
- Brown R (2000) Social identity theory: past achievements, current problems and future challenges. Eur J Soc Psychol 30:745–778. https://doi.org/10.1002/1099-0992(200011/12)30:6%3c745::AID-EJSP24%3e3.0.CO;2-O · DOI · Paper page
- Burke P (2006) Identity change. Soc Psychol Q 69:81–96 · DOI · Paper page
- Canonico M, Russis LD (2018) A comparison and critique of natural language understanding tools. In: The Ninth International Conference on Cloud Computing, GRIDs, and Virtualization
- Cao A, Chintamani KK, Pandya AK, Ellis RD (2009) NASA TLX: software for assessing subjective mental workload. Behav Res Methods 41:113–117. https://doi.org/10.3758/BRM.41.1.113 · DOI · Paper page
- Carter M, Grover V (2015) Me, my self, and I(T): conceptualizing information technology identity and its implications. MIS Q 39:931–957. https://doi.org/10.25300/MISQ/2015/39.4.9 · DOI · Paper page
- Carter M, Grover V, Clemson University (2015) Me, my self, and I(T): conceptualizing information technology identity and its implications. MIS Q 39:931–957. https://doi.org/10.25300/MISQ/2015/39.4.9 · DOI · Paper page
- Carter M, Grover V, Thatcher JB (2012) Mobile devices and the self: developing the concept of mobile phone identity. In: Lee I (ed) Strategy, adoption, and competitive advantage of mobile services in the global economy. IGI Global, Hershey
- Changizi A, Lanz M (2019) The comfort zone concept in a human–robot cooperative task. In: Ratchev S (ed) Precision assembly in the digital age. Springer, Cham, pp 82–91 · DOI
- Cronbach LJ, Meehl PE (1955) Construct validity in psychological tests. Psychol Bull 52:281–302. https://doi.org/10.1037/h0040957 · DOI · Paper page
- Dahling JJ, Gutworth MB (2017) Loyal rebels? A test of the normative conflict model of constructive deviance. J Organ Behav 38:1167–1182. https://doi.org/10.1002/job.2194 · DOI
- Davenport T (2018) The AI advantage how to put the artificial intelligence revolution to work, 1st edn. MIT Press, Cambridge · DOI · Paper page
- de Vreede G-J, Briggs RO (2005) Collaboration engineering: designing repeatable processes for high-value collaborative tasks. In: Proceedings of the 38th Hawaii International Conference on System Sciences – 2005
- Demir M, McNeese NJ, Cooke NJ (2020) Understanding human–robot teams in light of all-human teams: aspects of team interaction and shared cognition. Int J Hum Comput Stud 140:102436. https://doi.org/10.1016/j.ijhcs.2020.102436 · DOI
- Dias M, Pan S, Tim Y (2019) Knowledge embodiment of human and machine interactions: robotic-process-automation at the Finland government. In: Proceedings of the 27th European Conference on Information Systems
- Diederich S, Brendel AB, Kolbe LM (2020) Designing anthropomorphic enterprise conversational agents. Bus Inf Syst Eng 62:193–209. https://doi.org/10.1007/s12599-020-00639-y · DOI
- Dittmar H (2011) Material and consumer identities. In: Schwartz SJ, Luyckx K, Vignoles VL (eds) Handbook of identity theory and research. Springer, New York, pp 745–769 · DOI
- Edwards C, Edwards A, Stoll B et al (2019) Evaluations of an artificial intelligence instructor’s voice: social Identity Theory in human–robot interactions. Comput Hum Behav 3:357–362. https://doi.org/10.1016/j.chb.2018.08.027 · DOI · Paper page
- Ellemers N (2004) Motivating individuals and groups at work: a social identity perspective on leadership and group performance. Acad Manage Rev 29:459–478 · doi:10.5465/amr.2004.13670967 · Paper page
- Feine J, Gnewuch U, Morana S, Maedche A (2019) A taxonomy of social cues for conversational agents. Int J Hum Comput Stud 132:138–161. https://doi.org/10.1016/j.ijhcs.2019.07.009 · DOI · Paper page
- Franceschi K, Lee RM, Zanakis SH, Hinds D (2009) Engaging group e-learning in virtual worlds. J Manag Inf Syst 26:73–100. https://doi.org/10.2753/MIS0742-1222260104 · DOI
- Frohberg D, Schwabe G (2006) Skills and motivation in ad-hoc-collaboration. Collect Collab Electron Commer Technol Res. https://doi.org/10.5167/uzh-61366 · doi:10.5167/uzh-61366
- Galy E, Cariou M, Mélan C (2012) What is the relationship between mental workload factors and cognitive load types? Int J Psychophysiol 83:269–275. https://doi.org/10.1016/j.ijpsycho.2011.09.023 · DOI · Paper page
- Gnewuch U, Morana S, Maedche A (2017) Towards designing cooperative and social conversational agents for customer service. In: International conference on information systems, p 15
- Gnewuch U, Yu M, Maedche A (2020) The effect of perceived similarity in dominance on customer self-disclosure to chatbots in conversational commerce. In: 28th European conference on information systems
- Goodbody J (2005) Critical success factors for global virtual teams. Strateg Commun Manag 9:18–21
- Guegan J, Segonds F, Barré J et al (2017) Social identity cues to improve creativity and identification in face-to-face and virtual groups. Comput Hum Behav 77:140–147. https://doi.org/10.1016/j.chb.2017.08.043 · DOI
- 20 years later. In: Proceedings of the human factors and ergonomics society 50th annual meeting - 2006, p 5
- Haslam A (2004) Psychology in organizations: the social identity approach, 2nd edn. SAGE, London
- Hassell MD, Cotton JL (2017) Some things are better left unseen: toward more effective communication and team performance in video-mediated interactions. Comput Hum Behav 73:200–208. https://doi.org/10.1016/j.chb.2017.03.039 · DOI
- Hofeditz L, Ehnis C, Bunker D et al (2019) Meaningful use of social bots? possible applications in crisis communication during disasters. In: Proceedings of the 27th European conference on information systems
- Hu M, Zhang M, Wang Y (2017) Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Comput Hum Behav 75:594–606. https://doi.org/10.1016/j.chb.2017.06.006 · DOI · Paper page
- Kenny EJ, Briner RB (2013) Increases in salience of ethnic identity at work: the roles of ethnic assignation and ethnic identification. Hum Relat 66:725–748. https://doi.org/10.1177/0018726712464075 · DOI
- Klimchak M, Ward A-K, Matthews M et al (2019) When does what other people think matter? The influence of age on the motivators of organizational identification. J Bus Psychol 34:879–891. https://doi.org/10.1007/s10869-018-9601-6 · DOI
- Knijnenburg BP, Willemsen MC (2016) Inferring capabilities of intelligent agents from their external traits. ACM Trans Interact Intell Syst 6:1–25. https://doi.org/10.1145/2963106 · DOI
- Knote R, Janson A, Söllner M, Leimeister JM (2019) Classifying smart personal assistants: an empirical cluster analysis. In: Proceedings of the 52nd Hawaii international conference on system sciences · DOI
- Kohler F, Matzler, et al (2011) Co-creation in virtual worlds: the design of the user experience. MIS Q 35:773. https://doi.org/10.2307/23042808 · DOI · Paper page
- Kozlowski S, Ilgen D (2007) The science of team success. Sci Am Mind 18:54–61. https://doi.org/10.1038/scientificamericanmind0607-54 · doi:10.1038/scientificamericanmind0607-54
- Lamontagne L, Laviolette F, Khoury R, Bergeron-Guyard A (2014) A framework for building adaptive intelligent virtual assistants. In: Software engineering/811: parallel and distributed computing and networks/816: artificial intelligence and applications. ACTAPRESS, Innsbruck, Austria · doi:10.2316/p.2014.816-018
- Leary MR, Tangney JP (2011) Handbook of self and identity, 2nd edn. Guilford Press, New York
- Lee C, Jung S, Kim S, Lee GG (2009) Example-based dialog modeling for practical multi-domain dialog system. Speech Commun 51:466–484. https://doi.org/10.1016/j.specom.2009.01.008 · DOI
- Lin C-P (2015) Predicating team performance in technology industry: theoretical aspects of social identity and self-regulation. Technol Forecast Soc Change 98:13–23. https://doi.org/10.1016/j.techfore.2015.05.017 · DOI
- Maniscalco U, Messina A, Storniolo P (2020) The human–robot interaction in robot-aided medical care. In: Zimmermann A, Howlett RJ, Jain LC (eds) Smart innovation, systems and technologies. Springer, Split, pp 233–242
- Maras P, Thompson T, Gridley N, Moon A (2018) The “about me” questionnaire: factorial structure and measurement invariance. J Psychoeduc Assess 36:379–391. https://doi.org/10.1177/0734282916682909 · DOI
- Massey AP, Montoya-Weiss MM, Hung Y-T (2003) Because time matters: temporal coordination in global virtual project teams. J Manag Inf Syst 19:129–155. https://doi.org/10.1080/07421222.2003.11045742 · DOI · Paper page
- McTear MF (2017) The rise of the conversational interface: a new kid on the block? In: Future and emerging trends in language technology. Machine learning and big data. Springer, Seville · DOI
- Mechling LC, Gast DL, Seid NH (2010) Evaluation of a personal digital assistant as a self-prompting device for increasing multi-step task completion by students with moderate intellectual disabilities. Educ Train Autism Dev Disabil 45:422–439
- Moreno R, Mayer RE, Spires HA, Lester JC (2001) The case for social agency in computer-based teaching: do students learn more deeply when they interact with animated pedagogical agents? Cogn Instr 19:177–213. https://doi.org/10.1207/S1532690XCI1902_02 · DOI · Paper page
- Morrissey K, Kirakowski J (2013) ‘Realness’ in chatbots: establishing quantifiable criteria. In: Kurosu M (ed) Human–computer interaction. Interaction modalities and techniques. Springer, Berlin, pp 87–96 · DOI
- Mueller SK, Mendling J, Bernroider EWN (2019) The roles of social identity and dynamic salient group formations for ERP program management success in a postmerger context. Inf Syst J 29:609–640. https://doi.org/10.1111/isj.12223 · DOI
- Nasirian F, Ahmadian M (2017) AI-based voice assistant systems: evaluating from the interaction and trust perspectives. In: Americas conference on information systems. p 10
- Norman D (2017) Design, business models, and human-technology teamwork: as automation and artificial intelligence technologies develop, we need to think less about human–machine interfaces and more about human–machine teamwork. Res Technol Manag 60:26–30. https://doi.org/10.1080/08956308.2017.1255051 · DOI
- Noyes JM, Bruneau DPJ (2007) A self-analysis of the NASA-TLX workload measure. Ergonomics 50:514–519. https://doi.org/10.1080/00140130701235232 · DOI
- O’Leary-Kelly SW, Vokurka RJ (1998) The empirical assessment of construct validity. J Oper Manag 16:387–405. https://doi.org/10.1016/S0272-6963(98)00020-5 · DOI · Paper page
- Panganiban AR, Matthews G, Long MD (2020) Transparency in autonomous teammates: intention to support as teaming information. J Cogn Eng Decis Mak 14:174–190. https://doi.org/10.1177/1555343419881563 · DOI
- Pepple DG, Davies EMM (2019) Co-worker social support and organisational identification: does ethnic self-identification matter? J Manag Psychol 34:573–586. https://doi.org/10.1108/JMP-04-2019-0232 · DOI
- Peters G-JY (2018) The alpha and the omega of scale reliability and validity: why and how to abandon Cronbach’s alpha and the route towards more comprehensive assessment of scale quality. Eur Health Psychol 16:56–59. https://doi.org/10.31234/osf.io/h47fv · DOI
- Pickard MD, Burns MB, Moffitt KC (2013) A theoretical justification for using embodied conversational agents (ECAs) to augment accounting-related interviews. J Inf Syst 27:159–176. https://doi.org/10.2308/isys-50561 · DOI
- Plotnick L, Hiltz SR, Privman R (2016) Ingroup dynamics and perceived effectiveness of partially distributed teams. IEEE Trans Prof Commun 59:203–229. https://doi.org/10.1109/TPC.2016.2583258 · DOI
- Porck JP, Matta FK, Hollenbeck JR et al (2019) Social identification in multiteam systems: the role of depletion and task complexity. Acad Manage J 62:1137–1162. https://doi.org/10.5465/amj.2017.0466 · DOI
- Quarteroni S (2018) Natural language processing for industry: ELCA’s experience. Inform Spektrum 41:105–112. https://doi.org/10.1007/s00287-018-1094-1 · DOI
- Rubio S, Díaz E, Martín J, Puente JM (2004) Evaluation of subjective mental workload: a comparison of SWAT, NASA-TLX, and workload profile methods. Appl Psychol 53:61–86. https://doi.org/10.1111/j.1464-0597.2004.00161.x · DOI · Paper page
- Russel S, Norvig P (2016) Artificial intelligence: a modern approach. Addison Wesley, Munich
- Schultze U (2010) Embodiment and presence in virtual worlds: a review. J Inf Technol 25:434–449. https://doi.org/10.1057/jit.2010.25 · doi:10.1057/jit.2010.25 · Paper page
- Scott C, Lundstrom WJ (1990) Dimensions of possession satisfactions: a preliminary analysis. J Satisf Dissatisfaction Complain Behav 3:100–1004
- Seeber I, Bittner E, Briggs RO, et al (2018) Machines as teammates: a collaboration research agenda. In: Proceedings of the 51st Hawaii international conference on system sciences · DOI
- Seeber I, Waizenegger L, Seidel S et al (2020b) Collaborating with technology-based autonomous agents: issues and research opportunities. Internet Res 30:1–18. https://doi.org/10.2139/ssrn.3504587 · DOI
- Shamekhi A, Liao QV, Wang D, et al (2018) Face value? Exploring the effects of embodiment for a group facilitation agent. In: Conference on human factors in computing systems · DOI
- Sivadas E, Machleit KA (1994) A scale to determine the extent of object incorporation in the extended self. Mark Theory Appl 5:143–149
- Spohrer J, Banavar G (2015) Cognition as a service: an industry perspective. AI Mag 36:71–86. https://doi.org/10.1609/aimag.v36i4.2618 · DOI
- Stets JE, Biga CF (2003) Bringing identity theory into environmental sociology. Soc Theory 21:398–423. https://doi.org/10.1046/j.1467-9558.2003.00196.x · DOI · Paper page
- Stieglitz S, Brachten F, Kissmer T (2018) Defining bots in an enterprise context. In: International conference on information systems
- Tian K, Belk RW (2005) Extended self and possessions in the workplace. J Consum Res 32:297–310. https://doi.org/10.1086/432239 · DOI · Paper page
- Vahtera P, Buckley PJ, Aliyev M et al (2017) Influence of social identity on negative perceptions in global virtual teams. J Int Manag 23:367–381. https://doi.org/10.1016/j.intman.2017.04.002 · DOI
- Van Ostrand A, Wolfe S, Arredondo A et al (2016) Creating virtual communities that work: best practices for users and developers of e-collaboration software. Int J E-Collab 12:41–60. https://doi.org/10.4018/IJeC.2016100104 · DOI
- Verhagen T, van Nes J, Feldberg F, van Dolen W (2014) Virtual customer service agents: using social presence and personalization to shape online service encounters. J Comput Mediat Commun 19:529–545. https://doi.org/10.1111/jcc4.12066 · DOI · Paper page
- Vignoles VL, Schwartz SJ, Luyckx K (2011) Introduction: toward an integrative view of identity. In: Schwartz SJ, Luyckx K, Vignoles VL (eds) Handbook of identity theory and research. Springer, New York, NY, pp 1–27
- Waizenegger L, Seeber I, Dawson G, Desouza KC (2020) Conversational agents – exploring generative mechanisms and second-hand effects of actualized technology affordances. In: Proceedings of the 53rd Hawaii international conference on system sciences · DOI
- Wang W (2017) Smartphones as social actors? social dispositional factors in assessing anthropomorphism. Comput Hum Behav 68:334–344. https://doi.org/10.1016/j.chb.2016.11.022 · DOI
- Wang W, Siau K (2018) Artificial intelligence: a study on governance, policies, and regulations. In: MWAIS 2018 proceedings
- Yan JK, Leidner DE, Benbya H (2018) Differential innovativeness outcomes of user and employee participation in an online user innovation community. J Manag Inf Syst 35:900–933. https://doi.org/10.1080/07421222.2018.1481669 · DOI
- You S, Robert LP Jr (2018) Emotional attachment, performance, and viability in teams collaborating with embodied physical action (EPA) robots. J Assoc Inf Syst 19:377–407. https://doi.org/10.17705/1jais.00496 · DOI · Paper page
- Young-Jae C, Baek S, Ahn G et al (2020) Compensating for the loss of human distinctiveness: the use of social creativity under human–machine comparisons. Comput Hum Behav 103:80–90. https://doi.org/10.1016/j.chb.2019.08.027 · DOI
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Metadata
- Authors
- Mirbabaie, M., Stieglitz, S., Brünker, F., Hofeditz, L., Ross, B., & Frick, N. R. J.
- Venue
- Business & Information Systems Engineering
- Published
- 2020-12-01
- Volume
- 63
- Issue
- 1
- Pages
- 21-37
- ISSN
- 2363-7005
- 1867-0202
- Cited by
- 84
- References
- 12
- Language
- en
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
- Funders
- Universität Duisburg-Essen
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