Journal of Graphics ›› 2026, Vol. 47 ›› Issue (5): 1166-1175.DOI: 10.11996/JG.j.2095-302X.2026051166
• Industrial Design • Previous Articles Next Articles
YANG Xiaoyan(
), WANG Ping, WANG Weiwei, WEN Zhiqiang
Received:2025-12-31
Accepted:2026-08-19
Online:2026-10-31
Published:2026-10-26
Supported by:CLC Number:
YANG Xiaoyan, WANG Ping, WANG Weiwei, WEN Zhiqiang. A study on the impact of AR interaction modes on tourists’ emotional experience in digital cultural tourism[J]. Journal of Graphics, 2026, 47(5): 1166-1175.
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| 维度 | 编号 | 语义词对 |
|---|---|---|
| 愉悦度 | P1 | 厌恶的-感兴趣的 |
| P2 | 不屑的-友好的 | |
| P3 | 痛苦的-高兴的 | |
| P4 | 愤怒的-兴奋的 | |
| 唤醒度 | A1 | 困倦的-清醒的 |
| A2 | 平静的-激动的 | |
| A3 | 放松的-紧张的 | |
| A4 | 拘谨的-惊讶的 | |
| 支配度 | D1 | 受控的-主控的 |
| D2 | 顺从的-支配的 | |
| D3 | 低位的-高位的 | |
| D4 | 被影响的-有影响力的 |
Table 1 Items and dimension attribution of the PAD model
| 维度 | 编号 | 语义词对 |
|---|---|---|
| 愉悦度 | P1 | 厌恶的-感兴趣的 |
| P2 | 不屑的-友好的 | |
| P3 | 痛苦的-高兴的 | |
| P4 | 愤怒的-兴奋的 | |
| 唤醒度 | A1 | 困倦的-清醒的 |
| A2 | 平静的-激动的 | |
| A3 | 放松的-紧张的 | |
| A4 | 拘谨的-惊讶的 | |
| 支配度 | D1 | 受控的-主控的 |
| D2 | 顺从的-支配的 | |
| D3 | 低位的-高位的 | |
| D4 | 被影响的-有影响力的 |
| 分类 | 传统交互 | 语音交互 | 触屏交互 | 手势交互 |
|---|---|---|---|---|
| 示例 | ![]() | ![]() | ![]() | ![]() |
| 来源 | 陕历博线上展 | Kivicube平台自制 | Kivicube平台自制 | TouchDesigner自制 |
| 识别方式 | 语音对话 | 图像识别 | 手掌/握拳 | |
| 交互反馈 | 虚拟人物语音交互 | AR换装、服饰介绍 | 文字介绍、互动动画 | |
| 使用资源 | 陕历博官方资源 | 自制虚拟角色与台本 | 自制服饰效果 | AI图片生成视频 |
| 触发场景 | ![]() | ![]() | ![]() | ![]() |
Table 2 Experimental stimuli and interaction elements in entertainment scenarios
| 分类 | 传统交互 | 语音交互 | 触屏交互 | 手势交互 |
|---|---|---|---|---|
| 示例 | ![]() | ![]() | ![]() | ![]() |
| 来源 | 陕历博线上展 | Kivicube平台自制 | Kivicube平台自制 | TouchDesigner自制 |
| 识别方式 | 语音对话 | 图像识别 | 手掌/握拳 | |
| 交互反馈 | 虚拟人物语音交互 | AR换装、服饰介绍 | 文字介绍、互动动画 | |
| 使用资源 | 陕历博官方资源 | 自制虚拟角色与台本 | 自制服饰效果 | AI图片生成视频 |
| 触发场景 | ![]() | ![]() | ![]() | ![]() |
| 分类 | 传统交互 | 语音交互 | 触屏交互 | 手势交互 |
|---|---|---|---|---|
| 示例 | ![]() | ![]() | ![]() | ![]() |
| 来源 | 陕历博线上展 | Kivicube平台自制 | Kivicube平台自制 | TouchDesigner自制 |
| 识别方式 | 语音指令 | 图像扫描 | 手势识别 | |
| 交互反馈 | 播放对应文物AR解说视频 | 弹出纹样细节文字/局部放大 | 纹样1~5层分级展示 | |
| 使用资源 | 陕历博官方资源 | 自制AR解说素材 | 自制纹样AR效果 | 自制分层纹样 |
| 触发场景 | ![]() | ![]() | ![]() | ![]() |
Table 3 Experimental stimuli and interaction elements in knowledge scenarios
| 分类 | 传统交互 | 语音交互 | 触屏交互 | 手势交互 |
|---|---|---|---|---|
| 示例 | ![]() | ![]() | ![]() | ![]() |
| 来源 | 陕历博线上展 | Kivicube平台自制 | Kivicube平台自制 | TouchDesigner自制 |
| 识别方式 | 语音指令 | 图像扫描 | 手势识别 | |
| 交互反馈 | 播放对应文物AR解说视频 | 弹出纹样细节文字/局部放大 | 纹样1~5层分级展示 | |
| 使用资源 | 陕历博官方资源 | 自制AR解说素材 | 自制纹样AR效果 | 自制分层纹样 |
| 触发场景 | ![]() | ![]() | ![]() | ![]() |
| 任务类型 | 任务描述 | 主要操作 | 评估指标 |
|---|---|---|---|
| 知识传统 | 自由探索,需记忆鸳鸯莲瓣纹金碗、鎏金蔓草鸳鸯纹银习觞纹样特征 | 浏览 | 主观: PAD情感量表 客观: 注视比例、单位时间眼跳率(次/min)、平均瞳孔直径 |
| 知识语音 | 通过语音指令获取纹样及相关知识(“解说鎏金团花纹银盒”) | 说出指令 | |
| 知识触屏 | 用手机扫描识别文物,点击文物查看纹样细节解说 | 扫描/点击 | |
| 知识手势 | 随机给出数字手势触发纹样层级展示效果 | 伸掌/手指比数 | |
| 娱乐传统 | 自由探索 | 浏览 | |
| 娱乐语音 | 与虚拟人物“婉儿”对话,了解大唐风采 | 说话 | |
| 娱乐触屏 | 用手机扫描陶俑,触发虚拟任务效果,进行换装互动 | 点击 | |
| 娱乐手势 | 在陶俑面前伸出手掌触发陶俑复原打招呼效果 | 摆手/握拳 |
Table 4 Experimental task design
| 任务类型 | 任务描述 | 主要操作 | 评估指标 |
|---|---|---|---|
| 知识传统 | 自由探索,需记忆鸳鸯莲瓣纹金碗、鎏金蔓草鸳鸯纹银习觞纹样特征 | 浏览 | 主观: PAD情感量表 客观: 注视比例、单位时间眼跳率(次/min)、平均瞳孔直径 |
| 知识语音 | 通过语音指令获取纹样及相关知识(“解说鎏金团花纹银盒”) | 说出指令 | |
| 知识触屏 | 用手机扫描识别文物,点击文物查看纹样细节解说 | 扫描/点击 | |
| 知识手势 | 随机给出数字手势触发纹样层级展示效果 | 伸掌/手指比数 | |
| 娱乐传统 | 自由探索 | 浏览 | |
| 娱乐语音 | 与虚拟人物“婉儿”对话,了解大唐风采 | 说话 | |
| 娱乐触屏 | 用手机扫描陶俑,触发虚拟任务效果,进行换装互动 | 点击 | |
| 娱乐手势 | 在陶俑面前伸出手掌触发陶俑复原打招呼效果 | 摆手/握拳 |
| 序号 | 交互顺序 | |||
|---|---|---|---|---|
| 1 | 传统 | 语音 | 触屏 | 手势 |
| 2 | 语音 | 触屏 | 手势 | 传统 |
| 3 | 触屏 | 手势 | 传统 | 语音 |
| 4 | 手势 | 传统 | 语音 | 触屏 |
Table 5 Latin square counterbalancing order groups for interaction modes
| 序号 | 交互顺序 | |||
|---|---|---|---|---|
| 1 | 传统 | 语音 | 触屏 | 手势 |
| 2 | 语音 | 触屏 | 手势 | 传统 |
| 3 | 触屏 | 手势 | 传统 | 语音 |
| 4 | 手势 | 传统 | 语音 | 触屏 |
| 情感维度 | 归一化公式 |
|---|---|
| 愉悦度P | P=(P1-P2+P3-P4)/4 |
| 唤醒度A | A=(-A1+A2-A3+A4)/4 |
| 支配度D | D=(D1-D2+D3-D4)/4 |
Table 6 Normalization formula of the PAD model
| 情感维度 | 归一化公式 |
|---|---|
| 愉悦度P | P=(P1-P2+P3-P4)/4 |
| 唤醒度A | A=(-A1+A2-A3+A4)/4 |
| 支配度D | D=(D1-D2+D3-D4)/4 |
| P值 | A值 | D值 | 情感类别 | 情感极性 |
|---|---|---|---|---|
| +P | +A | +D | 高兴的 | 积极正向情感 |
| +P | +A | -D | 依赖的 | |
| +P | -A | +D | 放松的 | |
| +P | -A | -D | 温顺的 | |
| -P | -A | -D | 无聊的 | 消极负向情感 |
| -P | -A | +D | 蔑视的 | |
| -P | +A | -D | 焦虑的 | |
| -P | +A | +D | 敌意的 |
Table 7 Classification method of PAD affective categories
| P值 | A值 | D值 | 情感类别 | 情感极性 |
|---|---|---|---|---|
| +P | +A | +D | 高兴的 | 积极正向情感 |
| +P | +A | -D | 依赖的 | |
| +P | -A | +D | 放松的 | |
| +P | -A | -D | 温顺的 | |
| -P | -A | -D | 无聊的 | 消极负向情感 |
| -P | -A | +D | 蔑视的 | |
| -P | +A | -D | 焦虑的 | |
| -P | +A | +D | 敌意的 |
| 维度 | 效应 | df1 | df2 | F | p |
|---|---|---|---|---|---|
| P | 场景 | 1 | 39.315 | 0.093 | 0.762 |
| 交互 | 3 | 69.529 | 42.720 | <0.001 *** | |
| 场景×交互 | 3 | 78.841 | 4.086 | 0.009 ** | |
| A | 场景 | 1 | 60.010 | 13.366 | 0.001** |
| 交互 | 3 | 79.575 | 44.280 | <0.001 *** | |
| 场景×交互 | 3 | 76.019 | 11.759 | <0.001 *** | |
| D | 场景 | 1 | 44.889 | 61.187 | <0.001 *** |
| 交互 | 3 | 72.294 | 68.229 | <0.001 *** | |
| 场景×交互 | 3 | 74.985 | 22.179 | <0.001 *** |
Table 8 Results of type-III fixed-effects test for PAD dimensions
| 维度 | 效应 | df1 | df2 | F | p |
|---|---|---|---|---|---|
| P | 场景 | 1 | 39.315 | 0.093 | 0.762 |
| 交互 | 3 | 69.529 | 42.720 | <0.001 *** | |
| 场景×交互 | 3 | 78.841 | 4.086 | 0.009 ** | |
| A | 场景 | 1 | 60.010 | 13.366 | 0.001** |
| 交互 | 3 | 79.575 | 44.280 | <0.001 *** | |
| 场景×交互 | 3 | 76.019 | 11.759 | <0.001 *** | |
| D | 场景 | 1 | 44.889 | 61.187 | <0.001 *** |
| 交互 | 3 | 72.294 | 68.229 | <0.001 *** | |
| 场景×交互 | 3 | 74.985 | 22.179 | <0.001 *** |
| 场景 | 维度 | 对比 | ΔEMMs | p |
|---|---|---|---|---|
| 娱乐 | P | 语音-触屏 | 0.017 | 1.000 |
| 娱乐 | P | 手势-触屏 | 0.267 | 0.006** |
| 知识 | A | 手势-传统 | 0.375 | <0.001*** |
| 知识 | A | 手势-语音 | 0.338 | <0.001*** |
| 知识 | A | 手势-触屏 | 0.242 | 0.005** |
| 知识 | D | 手势-传统 | 0.492 | <0.001*** |
| 知识 | D | 手势-语音 | 0.746 | <0.001*** |
| 知识 | D | 手势-触屏 | 0.350 | <0.001*** |
Table 9 Results of pairwise comparisons of estimated marginal means for PAD dimensions
| 场景 | 维度 | 对比 | ΔEMMs | p |
|---|---|---|---|---|
| 娱乐 | P | 语音-触屏 | 0.017 | 1.000 |
| 娱乐 | P | 手势-触屏 | 0.267 | 0.006** |
| 知识 | A | 手势-传统 | 0.375 | <0.001*** |
| 知识 | A | 手势-语音 | 0.338 | <0.001*** |
| 知识 | A | 手势-触屏 | 0.242 | 0.005** |
| 知识 | D | 手势-传统 | 0.492 | <0.001*** |
| 知识 | D | 手势-语音 | 0.746 | <0.001*** |
| 知识 | D | 手势-触屏 | 0.350 | <0.001*** |
Fig. 3 Forest plot of PAD dimension (ΔEMMs represents the different of estimated marginal means (left condition − right condition), error bars denote 95% CI)
| 指标 | 效应 | df1 | df2 | F | p |
|---|---|---|---|---|---|
| 注视比例 | 场景 | 1 | 161 | 80.350 | <0.001*** |
| 交互 | 3 | 161 | 15.888 | <0.001*** | |
| 场景×交互 | 3 | 161 | 11.438 | <0.001*** | |
| 平均瞳孔 直径 | 场景 | 1 | 161 | 52.624 | <0.001*** |
| 交互 | 3 | 161 | 46.903 | <0.001*** | |
| 场景×交互 | 3 | 161 | 1.839 | 0.142 | |
| 眼跳率 (次/min) | 场景 | 1 | 161 | 3.172 | 0.077 |
| 交互 | 3 | 161 | 26.602 | <0.001*** | |
| 场景×交互 | 3 | 161 | 14.103 | <0.001*** |
Table 10 Results of Type-III Fixed-Effects Test for Eye-Tracking Indicators
| 指标 | 效应 | df1 | df2 | F | p |
|---|---|---|---|---|---|
| 注视比例 | 场景 | 1 | 161 | 80.350 | <0.001*** |
| 交互 | 3 | 161 | 15.888 | <0.001*** | |
| 场景×交互 | 3 | 161 | 11.438 | <0.001*** | |
| 平均瞳孔 直径 | 场景 | 1 | 161 | 52.624 | <0.001*** |
| 交互 | 3 | 161 | 46.903 | <0.001*** | |
| 场景×交互 | 3 | 161 | 1.839 | 0.142 | |
| 眼跳率 (次/min) | 场景 | 1 | 161 | 3.172 | 0.077 |
| 交互 | 3 | 161 | 26.602 | <0.001*** | |
| 场景×交互 | 3 | 161 | 14.103 | <0.001*** |
| 场景 | 指标 | 对比 | ΔEMMs | p |
|---|---|---|---|---|
| 娱乐 | 注视比例 | 手势-触屏 | 0.171 | 0.007** |
| 娱乐 | 注视比例 | 语音-触屏 | -0.030 | 1.000 |
| 知识 | 注视比例 | 手势-传统 | 0.047 | 1.000 |
| 知识 | 注视比例 | 手势-语音 | -0.009 | 1.000 |
| 知识 | 注视比例 | 手势-触屏 | 0.074 | 0.924 |
| 娱乐 | 平均瞳孔直径 | 手势-触屏 | 0.450 | 0.002** |
| 娱乐 | 平均瞳孔直径 | 语音-触屏 | -0.121 | 1.000 |
| 知识 | 平均瞳孔直径 | 手势-传统 | 0.889 | <0.001*** |
| 知识 | 平均瞳孔直径 | 手势-语音 | 0.171 | 0.991 |
| 知识 | 平均瞳孔直径 | 手势-触屏 | 0.190 | 0.733 |
| 娱乐 | 眼跳率(次/min) | 手势-触屏 | 76.312 | <0.001*** |
| 娱乐 | 眼跳率(次/min) | 语音-触屏 | -14.974 | 1.000 |
| 知识 | 眼跳率(次/min) | 手势-传统 | 18.626 | 0.636 |
| 知识 | 眼跳率(次/min) | 手势-语音 | 10.093 | 1.000 |
| 知识 | 眼跳率(次/min) | 手势-触屏 | 34.964 | 0.016* |
Table 11 Results of pairwise comparisons of estimated marginal means for eye-tracking indicators
| 场景 | 指标 | 对比 | ΔEMMs | p |
|---|---|---|---|---|
| 娱乐 | 注视比例 | 手势-触屏 | 0.171 | 0.007** |
| 娱乐 | 注视比例 | 语音-触屏 | -0.030 | 1.000 |
| 知识 | 注视比例 | 手势-传统 | 0.047 | 1.000 |
| 知识 | 注视比例 | 手势-语音 | -0.009 | 1.000 |
| 知识 | 注视比例 | 手势-触屏 | 0.074 | 0.924 |
| 娱乐 | 平均瞳孔直径 | 手势-触屏 | 0.450 | 0.002** |
| 娱乐 | 平均瞳孔直径 | 语音-触屏 | -0.121 | 1.000 |
| 知识 | 平均瞳孔直径 | 手势-传统 | 0.889 | <0.001*** |
| 知识 | 平均瞳孔直径 | 手势-语音 | 0.171 | 0.991 |
| 知识 | 平均瞳孔直径 | 手势-触屏 | 0.190 | 0.733 |
| 娱乐 | 眼跳率(次/min) | 手势-触屏 | 76.312 | <0.001*** |
| 娱乐 | 眼跳率(次/min) | 语音-触屏 | -14.974 | 1.000 |
| 知识 | 眼跳率(次/min) | 手势-传统 | 18.626 | 0.636 |
| 知识 | 眼跳率(次/min) | 手势-语音 | 10.093 | 1.000 |
| 知识 | 眼跳率(次/min) | 手势-触屏 | 34.964 | 0.016* |
Fig. 4 Forest plot of eye-tracking indicators (ΔEMMs represents the different of estimated marginal means (left condition − right condition), error bars denote 95% CI)
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