# Collaborative Use of a Shared System Interface:
## 6 Discussion
### Implications and Research Perspectives
Hence, such a matrix would be made of two by two computations using the present study's proposed dyad gaze convergence index. Furthermore, our Study 2 was done in hedonic settings, with promising findings. As our hypotheses were not specific to hedonic settings, future real-time dual eye-tracking research could be conducted in utilitarian settings to support our GC index validity as well as the generalizability of our findings to other contexts. As the scope of our study is joint task performance using a shared system interface, it is expected that in utilitarian settings, the users' looking at the same visual artefacts in the screen will be important for the same reasons presented in the hypothesis development. Looking at the same locations on the screen is expected to help harmonize users' mental model of the system and improve collaboration during the joint task. Examples of utilitarian settings include the following. Our GC index could be examined during a learning task involving a teacher (or an expert) and a learner--or learners and their peers--interacting together with a shared system interface, to better understand how gaze convergence impacts learning performance. To illustrate, existing studies use asynchronous eye movement comparison to demonstrate that people may benefit from learning what experts have looked at (e.g., [PERSON] et al. [61]; [PERSON] and [PERSON] [60]) or that individuals perform better when they get real-time feedback on their gaze convergence vis-a-vis high-performing peers (e.g., [PERSON] and [PERSON] [62]; [PERSON] et al. [63]). Hence, the present study's setup--more generally, synchronized multiuser-eye-traking--could enrich these studies with the real-time gaze synchronization aspect. Moreover, during a professional task jointly performed by a dyad of workers, our GC index could be used to identify patterns of collaborative use of a shared interface that foster lower cognitive load and higher performance. Additionally, our experimental setting--that is, joint task performance using a shared display on separate computer monitors--is only one of several common settings used for joint task performance. For example, it is common that two users sit in front of a single computer monitor to jointly perform a task. Future studies could examine gaze convergence with users sharing the same computer monitor. The model developed in this paper also applies in this context, which is very common in real business environments. Finally, future research may focus on the measure and validation of the gyad GC construct through the OFD reflective dimension we proposed (see Figure 1), in the context of joint use of shared a system interface. Our experimental setup could be used in such purpose to collect perfectly synchronized dyad gaze data. However, the OFD dimension by definition does not require temporal ordering of gaze data; it looks for overall similarity in both dyad members' gaze behaviors and its focus is instead fixation positions and duration. Hence, to measure OFD in future research, existing methods of gaze similarity measures can be considered while benefiting the temporal precision and related spatial (fixation positions) accuracy provided by real-time synchronized dual eye-tracking.