With the increased use of online recruitment websites, many organizations have started building up these services to serve various kinds of users. There are some forms of usability evaluations that measure web applications. The inspection method is the most widely used, especially the heuristics evaluation. However, when facing substantial market demands, there is no set of heuristics to guide web designers on how to offer users a good user experience. Therefore, developing usability heuristics for online recruiting websites is very necessary. According to existing research, Nielsen ten heuristics are the most widely used and well known. However, with the continual emergence of new technologies, these ten heuristics cannot continue to satisfy designers who are looking for more focused heuristics that apply to a specific domain. There exists no working strategy for developing specialized guidelines to ensure specialized heuristics actually work better than using general heuristics. This thesis aims to develop usability heuristics for online recruitment website domains. Even though there are no appropriate theories or models for developing heuristics in a specific domain, we established a proposal of 21 usability heuristics for online recruitment based on the existing heuristics and methodologies to develop new specialized heuristics. These new heuristics offer evaluators smoother operations with higher efficiency (problems/time spent) in heuristics evaluation.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-421034 |
Date | January 2019 |
Creators | Rong, Huan |
Publisher | Uppsala universitet, Människa-datorinteraktion |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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