Understanding visually impaired people’s experiences of social signal perception in face-to-face communication

Understanding visually impaired people’s experiences of social signal perception in face-to-face communication
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了解视障人士在面对面交流中对社交信号感知的体验

DOI:
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发表时间:
2019
影响因子:
2.4
通讯作者:
G.W.M. Rauterberg
G.W.M. Rauterberg
中科院分区:
计算机科学4区
文献类型:
--
作者:
S. Qiu;Pengcheng An;Jun;Ting Han;G.W.M. Rauterberg

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社交信号(例如面部表情、手势)在社交互动中很重要。其中大部分是视觉提示,视障人士很难理解,给他们的日常生活带来困难。在人机交互(HCI)中,由于相关技术的进步,社交交互辅助系统越来越受到关注。然而,对于视障人士的社交信号感知仍缺乏全面、生动的理解,无法广泛识别他们在面对面交流中的需求。为了填补这一空白,我们进行了深度访谈,研究了 20 名视障参与者的生活经历。我们使用标准的定性内容分析方法,基于社交信号的综合分类法分析了一组丰富的定性经验数据。我们的结果揭示了一组生动的例子,并概述了视障人士关于社交信号的生活经历,包括他们的能力和局限性。据报道,参与者通过听觉、触觉、嗅觉或障碍感等补偿方式感知社交信号。然而,他们对社交信号的感知通常分辨率较低,并且受到某些环境因素(例如周围的拥挤或噪音水平)的限制。有趣的是,低视力参与者在社交信号感知(例如,粗鲁的姿势和手势)中仍然严重依赖视力。此外,参与者在感知他人微妙的情绪状态方面遇到了困难,这些情绪状态通常通过微妙的行为(例如微笑)来揭示。基于丰富的实证研究结果,我们提出了一系列设计含义,为未来相关的人机交互工作提供信息,旨在支持视障用户的社交信号感知。
Social signals (e.g., facial expression, gestures) are important in social interactions. Most of them are visual cues, which are hardly accessible for visually impaired people, causing difficulties in their daily living. In human–computer interaction (HCI), assistive systems for social interactions are getting increasing attention due to related technological advancements. Yet, there is still lack of a comprehensive and vivid understanding of visually impaired people’s social signal perception to broadly identify their needs in face-to-face communication. To fill this gap, we conducted in-depth interviews to study the lived experiences of 20 visually impaired participants. We analyzed a rich set of qualitative empirical data based on a comprehensive taxonomy of social signals, using a standard qualitative content analysis method. Our results revealed a set of vivid examples and an overview of visually impaired people’s lived experiences regarding social signals, including both their capabilities and limitations. As reported, the participants perceived social signals through their compensatory modalities such as hearing, touch, smell, or obstacle sense. However, their perception of social signals is generally with low resolution and limited by certain environmental factors (e.g., crowdedness, or noise level of the surrounding). Interestingly, sight was still importantly relied on by low-vision participants in social signal perception (e.g., rough postures and gestures). Besides, the participants experienced difficulties in sensing others’ subtle emotional states which are often revealed by nuanced behaviors (e.g., a smile). Based on rich empirical findings, we propose a set of design implications to inform future-related HCI works aimed at supporting visually impaired users’ social signal perception.
DOI: 10.1017/9781316676202
发表时间: 2017
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