Abstract
This paper aims to investigate how social robots might be integrated into the employment negotiation stage by considering the point of view of their future users: HR managers and job candidates.
The HRM field is already experiencing new work dynamics due to the introduction of AIs. However, the key distinction between social robots and other AI-embedded technologies is their capacity for natural interaction through physical presence, enabling richer communication in areas demanding strong social skills, like employment negotiations.
Employment negotiations are more than just transactional exchanges; they involve nuanced communication, trust-building, and persuasion. Thus, introducing social robots into this process requires a thorough understanding of users’ needs—both from HR managers and job candidates. Indeed, by adopting a proactive work design perspective (Parker & Grote, 2022), we want to put ourselves into the perspective of the robot designer in order to be able to design a robot that does not only aim at process efficiency but also at improving the work of the actors involved and that their needs are taken into account.
For this reason, we build upon the Scenario-Based User Need Analysis (SUNA) (van Helvert & Fowler, 2005), an approach used in the initial stages of the design cycle, in order to discover users’ initial requirements of the technology. Scenarios are powerful tools to generate narratives that capture how users might interact with social robots in future employment negotiations. By building upon this method, we aim to gain insights into the real-world applicability of social robots and answer our research question: What are the key desires and requirements of HR professionals and job candidates regarding the integration of social robots in employment negotiations?
The HRM field is already experiencing new work dynamics due to the introduction of AIs. However, the key distinction between social robots and other AI-embedded technologies is their capacity for natural interaction through physical presence, enabling richer communication in areas demanding strong social skills, like employment negotiations.
Employment negotiations are more than just transactional exchanges; they involve nuanced communication, trust-building, and persuasion. Thus, introducing social robots into this process requires a thorough understanding of users’ needs—both from HR managers and job candidates. Indeed, by adopting a proactive work design perspective (Parker & Grote, 2022), we want to put ourselves into the perspective of the robot designer in order to be able to design a robot that does not only aim at process efficiency but also at improving the work of the actors involved and that their needs are taken into account.
For this reason, we build upon the Scenario-Based User Need Analysis (SUNA) (van Helvert & Fowler, 2005), an approach used in the initial stages of the design cycle, in order to discover users’ initial requirements of the technology. Scenarios are powerful tools to generate narratives that capture how users might interact with social robots in future employment negotiations. By building upon this method, we aim to gain insights into the real-world applicability of social robots and answer our research question: What are the key desires and requirements of HR professionals and job candidates regarding the integration of social robots in employment negotiations?
Original language | English |
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Publication status | Unpublished - 8 Nov 2024 |
Event | 13th International Conference of the Dutch HRM Network 2024 - Rotterdam, Netherlands Duration: 6 Nov 2024 → 8 Nov 2024 Conference number: 13 https://hrm-network.nl/conference/ |
Conference
Conference | 13th International Conference of the Dutch HRM Network 2024 |
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Country/Territory | Netherlands |
City | Rotterdam |
Period | 6/11/24 → 8/11/24 |
Internet address |
Keywords
- NLA