
Huoqi Xuezhong Temple is a 3D suspense exploration game. The ancient temple covered in heavy snow suddenly caught fire. A mysterious shadow transported you back three hours before the fire started. Faced with six people gathered at this temple with different purposes.
Modeled estimate, not a reported figure. How we estimate →
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About
The game "Temple in the Snow" adopts the main axis of time advancement, supplemented by loops as the main gameplay method.
In the game, there are four time periods: "unitary time, 戌 time, hai time, and sub time", and in each time period, players will encounter NPCs in different states in different locations. Advance time by choosing different NPCs to dive into the dialogue.
Depending on the player's choices, the course of the game will also change subtly. The game encourages players to try to advance time with different NPCs in a looping way, so as to discover more information and finally restore the story.
The game uses the most advanced engine technology to restore the ancient scene of ancient temples in the snow with an ancient flavor. The overall gameplay is non-linear in the sandbox, and players can freely explore the scene.
The 3D sandbox scene in the game, combined with the time propulsion system, creates a complex world of space and time for players. The same place, at different times, will have different clue props. And the cause and effect of this still need to be reasoned and understood by the player.
A fire broke out in an ancient temple in the deep mountains, and an old case was very loud.
A number of portraits and illustrations drawn by watercolor artists, supplemented by professional voice teachers, take you back to that cold winter day, face the fire and the six suspects present.
The game contains nearly ten original ancient music songs, bringing you a pure ancient sound experience and helping you better immerse yourself in the story.
Stats
All-time low is the lowest price we've recorded for this game since we started tracking it.
Languages: Simplified Chinese**languages with full audio support
Engagement
Hours played at review time, across 40 reviews with recorded playtime.
Reviews
Themes across 40 recent reviews and how positive each mention is. A keyword signal, not full sentiment analysis.
positive critical· bar length = how often the theme comes up
Reviews
玩起来很像剧本杀,这个价格这个体量很不错了,不过还有很多小的点需要改进的,看其他评价都提到过了。 立绘是我的菜,太好看了 期待后续作品。
剧情还不错,指引什么的也做得足够显眼,就是这个不断溯回的机制有点麻烦,比如每次都是和车夫同样的话开始,我觉得可以设置一下跳过什么的,配音也还不错,但是最最最重要的是,为什么画面会做的这么晕啊,我一个不晕3d的人都感到难受极了,硬是盯着这个狗食画面玩了两个半小时通关,画面真的太拉了,关于眩晕的具体原因,我又点开游戏仔细看了一下,应该是奔跑和快速移动视角时候产生的拖影感或者说有点像动态模糊的那种感觉,但是设置里并不能设置
说实话,不怎么好玩,可能我不太喜欢这种一直重复的过流程,剧情也没那么吸引人。不过制作组敢于挑战尝试,把剧本杀做成3D的解密游戏,也算是创新了,好评。
赶紧优化你那破UI
有几个推演太难了,攻略也搜不到。
总体流程和推理都还可以,就是地图太大走的头晕。另外好像有一个bug[spoiler]车夫摘梅花这个剧情府丞说可以用他包裹里的花瓶装梅花枝,就去他房间里获取花瓶。但如果之后没有与车夫对话直接到下一阶段,下一周目这个剧情就无法再次去房间获取花瓶与车夫继续对话推进剧情获得梅花枝了[/spoiler]。
啥时候出个多人玩法啊,感觉这种双人联机会很有意思。
[h2] 游戏介绍 [/h2] 一场大火在被雪覆盖的古刹中燃起,在神秘黑影帮助下,你将回到火灾发生前的三个时辰前找寻线索,逐步发掘事件的真相。 [h2] 剧本杀式体验 [/h2] 在本作中,你将伴随时间的推进在酉时、戌时、亥时、子时四个时间段中,在关键地点搜索线索与整理思路,并最终推理出事件的真相。 游戏内同一场景会在不同时间段表现出差异,同时NPC状态等也会随之发生变化,或许某个时刻的关键互动,将成为你找出幕后真凶的最大推力。 本作无战斗元素,以对话剧情与场景线索搜集为主,3D场景探索与2D人物相结合,飞雪、苔藓等场景建筑细节搭配水彩2D角色立绘,在美术设计中走出了自己的特点。 [h2] 案情or人性 [/h2] 本作的剧情围绕核心六名嫌疑人,玩家需要通过收集关键线索推理在本次纵火案中各个嫌疑人扮演了什么角色。利用诸多碎片化信息拼凑出案件的真相,同时也拔出各位NPC背后的故事。在案件调查之中,混杂着与NPC交流的情感洗礼。 在实际游戏体验中,当第一次指认凶手后进入结局CG时还有些摸不着头脑,较短的首次流程也推进故事走向真正的核心要素:时间。不仅仅玩家将一次次回到火灾发生前的三个时辰前,在数次时间循环之中找寻线索,同时也指明本作推理的思路便是时间。 [h2] 优与缺 [/h2] 本作在实际体验中,像是在游戏世界中体验了一次剧本杀,搭配上时间循环的剧情,确实足够吸引部分玩家前来一玩。但本作在细节文本等方法的细节打磨稍有欠缺,在前期激发了玩家的兴趣,但在游戏中期进程,单单依靠时间循环与欠缺打磨的游戏文本并不能让玩家有强烈动力继续游玩。 [h2] 总结 [/h2] 《火起雪中寺》以一场纵火案为核心,在一次次时间循环中,依靠自己收集的线索与推理,解开案件找出幕后真凶。剧本杀式游戏体验颇有一番新意,3D场景与2D角色立绘在美术风格与设计上有着自己的特色。同时游戏中的剧情文本稍欠缺打磨,在情感表达等方面仍需要精进一些。 [quote]关注鉴赏组:[url=https://store.steampowered.com/curator/45134494]浮生评测[/url] ←"浮生若梦,一鉴倾心,邀您共赏人间烟火" 加入Steam组:[url=https://steamcommunity.com/groups/LLFLLFF]浮生评测[/url]←“一起追寻'浮生若梦'般的游戏体验” 开始“浮生若梦”鉴赏组的奇幻之旅![/quote]
这销量,续作应该是没希望了吧。游戏挺有创意的
就这水平,还出下一部呢?结局还放下一部的敬请期待?刘若什么是吧,刘什么洋?意义不明。
Related
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Trends
Modeled estimate over time, reconstructed from Steam's monthly review histogram.
Momentum
Pace estimated from the game's recent review growth (our daily snapshots) at its own sales-per-review ratio — a momentum signal, not booked sales.
Audience
Estimated from the language of this game's reviews — a proxy for where players are, not official Steam demographics.
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