The Aesthetics Scale is one of the most commonly used aesthetics evaluation scale in HCI. In this study, a Chinese version of the Aesthetics Scale (C-AS) was translated and validated using the forward–backward translation method. The C-AS passed the content validity and face validity tests. We then recruited 310 Chinese users and tested the psychological properties of the C-AS using the China Railway Customer Service Center ticketing platform as the test material. The experimental results showed that the C-AS has high reliability, validity, and sensitivity. Following rigorous testing, the results of this work may provide Chinese UX practitioners with a standardized aesthetics scale that researchers and practitioners can use with confidence.

Serious games hold significant potential for application in the domain of driving training, however, the actual acceptance of these serious games by novice users remains to be validated. This study explores novice drivers’ acceptance of serious games for driving training by integrating flow theory (perceived enjoyment [PE], perceived control [PC], concentration [CON]) with the TAM. Data from 335 Chinese novice drivers participating in a simulation test were analyzed via covariance-based structural equation modeling (CB-SEM). Key findings: (i) PE, PC, CON, and perceived ease of use (PEOU) significantly affect perceived usefulness (PU); PE and CON also influence PEOU. (ii) PE, CON, PEOU, and PU directly predict behavioral intention (BI), while PC shows no significant impact on BI or PEOU. (iii) Female participants scored higher than males in PU, PE, CON, and BI. Our findings provide valuable practical insights for the design and development of driving serious games.

The inner-product navigable small world graph (ip-NSW) represents the state-of-the-art method for approximate maximum inner product search (MIPS) and it can achieve an order of magnitude speedup over the fastest baseline. However, to date it is still unclear where its exceptional performance comes from. In this paper, we show that there is a strong norm bias in the MIPS problem, which means that the large norm items are very likely to become the result of MIPS. Then we explain the good performance of ip-NSW as matching the norm bias of the MIPS problem — large norm items have big in-degrees in the ip-NSW proximity graph and a walk on the graph spends the majority of computation on these items, thus effectively avoids unnecessary computation on small norm items. Furthermore, we propose the ip-NSW+ algorithm, which improves ip-NSW by introducing an additional angular proximity graph. Search is first conducted on the angular graph to find the angular neighbors of a query and then the MIPS neighbors of these angular neighbors are used to initialize the candidate pool for search on the inner-product proximity graph. Experiment results show that ip-NSW+ consistently and significantly outperforms ip-NSW and provides more robust performance under different data distributions.

In order to overcome the co-channel interference between neighbor cells in Long Term Evolution (LTE) system, a novel power allocation algorithm based on non-cooperative game theory is proposed in this paper. In the downlink of LTE, the pricing mechanism in the non-cooperative game theory is used to model the power allocation scheme in Orthogonal Frequency Division Multiple Access (OFDMA) cellular systems. We set the data rate as the pricing factor, and the objective function is the variance of power. Then we use Genetic algorithm to obtain the optimal solution. Both the QoS of user and the system throughput are considered in our proposed algorithm, simulation results show that the co-channel interference is reduced maximally. Comparing with the traditional water filling algorithm, the user can obtain more system throughput as the number of user increasing. It is suitable for the crowded user areas.