## 5 Discussion  
The SUMI analysis revealed that the average global score indicated that the usability of CAT tools is above average. All five subscales also scored above average. The higher scores were attributed to affect and efficiency, while the lowest scores were attributed to helpfulness and learnability. The itemized consensual analysis showed that a major agreement was obtained on three affect statements that included (a) reference of software recommendation to others, (b) enjoyment, and (c) satisfaction. This indicates the positive attitudes participants had toward CAT tools. Two helpfulness statements yielded major agreement responses among the participants. Both statements highlighted the effectiveness of the CAT tools. The efficiency of these tools received a major agreement response from users, i.e., on the statements describing the organization of the menus and the tool's ease of use. Finally, a major agreement was also obtained on two control statements that described the tool's navigation and speed. These results were also reflected in the comments provided by participants on the open-ended question regarding the best aspect of the software. Responses from participants highlighted how the software saved time and effort based on comments on the software's ease of use and clarity. When asked to rate the importance of the software, 31% rated it as \"Extremely Important\" and 52% said it is \"Important\". Such positive attitudes were reported in similar studies [5; 13; 17; 18; 27; 28]. In [PERSON] [13], the translators showed a high level of satisfaction toward the CAT tools despite the challenges they faced. [PERSON] [27] argues that positive attitudes towards CAT tools can be linked to the translator's computer skills competence. With our participants, 45% were \"experienced but not technical\", 38% \"can cope with most software\" while the rest 16% were \"very experienced and technical\" which might explain their positive attitudes towards the CAT tools. Although results from the SUMI analysis yielded scores that were above average for all five subscales, i.e., \(>\)50, the lowest score was assigned to helpfulness and learnability. These two attributes were linked to the perceptions of the translators on how the system communicated in a helpful way and how it assisted in the resolution of any technical problems; on how familiar the translators were with the software; and on whether its tutorial interface, handbooks, etc., were readable and instructive. These findings were also confirmed by the participants' comments on the improvement needed for these tools. One of the participants reported: _\"I would prefer to use software that is straightforward and without too many options and features that could confuse me while working,\"_ and _\"The interface needs to be more user-friendly.\"_  
These findings indicated that CAT tool developers needed to focus on the enhancement of the system's helpfulness and learnability to improve the user's experience and satisfaction levels. This was also suggested in other studies [5; 13; 27; 29]. [PERSON] and [PERSON] [29] suggest that these tools can be improved by simplifying the interface and provide more features such as a variety of dictionaries and an internet search option. On the same note, the participants' suggestions for further improvement emphasized the need to enhance Arabic language support. The support needed includes Arabic character set, right-to-left text direction, OCR, and Machine Translation quality. As reported by some of the participants:  
_\"Unfortunately, many documents I receive are PDFs or images. These require a software tool that can use its OCR features to recreate the text. The OCR is quite accurate when it is used on English texts, however, when using it with Arabic, the results are seldom better than 40%. This means that it is unreliable and thus cannot be used.\"_  
_\"Mostly the languages with different character set, such as Arabic and the Asian languages.