“Hey Genie, You Got Me Thinking About My Menu Choices!”

Author:

Dubiel Mateusz1ORCID,Leiva Luis A.1ORCID,Bongard-Blanchy Kerstin2ORCID,Sergeeva Anastasia1ORCID

Affiliation:

1. University of Luxembourg, Luxembourg

2. Luxembourg Media & Digital Design Centre, Luxembourg

Abstract

Conversational agents (CAs) that deliver proactive interventions can benefit users by reducing their cognitive workload and improving performance. However, little is known regarding how such interventions would impact users’ reflection on choices in voice-only decision-making tasks. We conducted a within-subjects experiment to evaluate the effect of CA’s feedback delivery strategy at three levels (no feedback, unsolicited, and solicited feedback) and the impact on users’ likelihood of changing their choices in an interactive food ordering scenario. We discovered that in both feedback conditions the CA was perceived to be significantly more persuasive than in the baseline condition, while being perceived as significantly less confident. Interestingly, while unsolicited feedback was perceived as less appropriate than the baseline, both types of proactive feedback led participants to relisten and reconsider menu options significantly more often. Our results provide insights regarding the impact of proactive feedback on CA perception and user’s reflection in decision-making tasks, thereby paving a new way for designing proactive CAs.

Publisher

Association for Computing Machinery (ACM)

Reference138 articles.

1. AI-based chatbots in customer service and their effects on user compliance

2. Hugues Ali Mehenni, Sofiya Kobylyanskaya, Ioana Vasilescu, and Laurence Devillers. 2021. Nudges with conversational agents and social robots: A first experiment with children at a primary school. In Conversational Dialogue Systems for the Next Decade. Springer, 257–270.

3. Toward Research-Informed Design Implications for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-being Apps

4. Music, Search, and IoT

5. In AI we trust? Perceptions about automated decision-making by artificial intelligence

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3